US20230355140A1 - High performance glucose sensor - Google Patents
High performance glucose sensor Download PDFInfo
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- US20230355140A1 US20230355140A1 US17/662,102 US202217662102A US2023355140A1 US 20230355140 A1 US20230355140 A1 US 20230355140A1 US 202217662102 A US202217662102 A US 202217662102A US 2023355140 A1 US2023355140 A1 US 2023355140A1
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Classifications
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves using microwaves or terahertz waves
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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Definitions
- This disclosure relates generally to apparatus, systems and methods of detecting an analyte via spectroscopic techniques using an analyte sensor that operates in the radio or microwave frequency range of the electromagnetic spectrum.
- analyte there is interest in being able to detect and/or measure an analyte within a target.
- One example is measuring glucose in biological tissue.
- many current analyte measurement methods are invasive in that they perform the measurement on a bodily fluid such as blood for fingerstick or laboratory-based tests, or on fluid that is drawn from the patient often using an invasive transcutaneous device.
- many of the non-invasive methods generally suffer from: lack of specificity to the analyte of interest, such as glucose; interference from temperature fluctuations; interference from skin compounds (i.e. sweat) and pigments; and complexity of placement, i.e. the sensing device resides on multiple locations on the patient's body.
- An analyte sensor described herein includes a plurality of detector elements (also referred to as antenna elements or antennas) at least one of which can transmit an electromagnetic signal in the radio or microwave frequency range into a target and at least one of which can receive an electromagnetic signal in the radio or microwave frequency range resulting from transmission of the electromagnetic signal.
- the detector elements may be part of a common detector array.
- the analyte sensor described herein can be used to detect glucose and/or other analyte(s).
- the sensor can be referred to as a glucose sensor.
- an analyte sensor When used to detect an analyte in general, including glucose and other analytes, the sensor can be referred to as an analyte sensor.
- the sensor described herein can operate non-invasively whereby the sensor remains completely external to the body from which the glucose or other analyte(s) is sensed.
- the senor can operate in a minimally invasive manner whereby a portion of the sensor pierces the body, the sensor can be invasive whereby the sensor is completely installed in the body, or the sensor can sense glucose or other analyte(s) from a material or fluid that is drawn from and external to the body.
- MARD mean absolute relative difference
- a glucose sensor that transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum.
- the glucose sensor has at least two antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals and at least one of which operates as a receive antenna, and the glucose sensor has a MARD value of about 5.0% to about 9.9%, or of about 5.0% to about 7.0%, or of about 5.0%.
- a non-invasive glucose sensor that transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum to detect glucose in a human or animal body.
- the non-invasive glucose sensor has at least three antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals into the human or animal body and at least one of which operates as a receive antenna, and the non-invasive glucose sensor has an accuracy that is greater than the accuracy of commercially available glucose sensors such as a) a minimally invasive continuous glucose sensor and b) a fingerstick glucose sensor.
- the glucose sensor described herein can have a MARD value of about 5.0% to about 9.9%, or of about 5.0% to about 7.0%, or of about 5.0%.
- the high accuracy of the glucose sensor described herein would permit the described glucose sensor to be used as a standard or reference glucose sensor against which the performance of other glucose sensors, such as minimally invasive CGMs and fingerstick sensors, can be compared to determine their accuracy.
- a minimally invasive glucose sensor performance analysis method described herein includes obtaining a glucose reading using the minimally invasive glucose sensor, and comparing the glucose reading against a reference glucose reading that is obtained at generally the same time by a reference glucose sensor that transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum, where the reference glucose sensor has at least two antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals and at least one of which operates as a receive antenna.
- an accuracy value such as a MARD value, of the minimally invasive glucose sensor is generated based on the comparing of the glucose reading against the reference glucose reading.
- FIG. 1 is a schematic depiction of an analyte sensor system with an analyte sensor relative to a target according to an embodiment.
- FIGS. 2 A- 2 C illustrate different examples of transmit and receive antennas with different geometries.
- FIG. 3 illustrates another example of an antenna array that can be used.
- FIG. 4 is a schematic depiction of a method of using the analyte sensor described herein as a reference or standard glucose sensor against which the performance of other glucose sensors can be compared to determine their accuracy.
- An analyte sensor described herein includes a plurality of antennas or detector elements, at least one of which can transmit an electromagnetic signal in the radio or microwave frequency range into a target and at least one of which can receive an electromagnetic signal in the radio or microwave frequency range resulting from transmission of the electromagnetic signal.
- the antennas may be part of a common antenna array.
- the analyte sensor described herein can be used to detect glucose and/or other analyte(s).
- the sensor When used to detect glucose, the sensor can be referred to as a glucose sensor.
- an analyte sensor When used to detect an analyte in general, including glucose and other analytes, the sensor can be referred to as an analyte sensor.
- the sensor described herein can operate non-invasively whereby the sensor remains completely external to the body from which the glucose or other analyte(s) is sensed and the detection of the glucose or other analyte occurs without requiring removal of fluid or other removal from the target, such as the human body.
- the senor can operate in a minimally invasive manner whereby a portion of the sensor pierces the body, the sensor can be invasive whereby the sensor is completely installed in the body, or the sensor can sense glucose or other analyte(s) from a material or fluid that is drawn from and external to the body.
- the glucose sensor described herein simultaneously obtains glucose readings from blood, interstitial fluid and cellular material which increases the accuracy of the glucose sensor compared to conventional glucose sensors, such as minimally invasive continuous glucose monitors (CGMs) and fingerstick sensors, which obtain glucose readings from one source, namely interstitial fluid in the case of minimally invasive CGMs and blood in the case of fingerstick sensors.
- CGMs minimally invasive continuous glucose monitors
- fingerstick sensors which obtain glucose readings from one source, namely interstitial fluid in the case of minimally invasive CGMs and blood in the case of fingerstick sensors.
- the glucose sensor described herein can be used to detect glucose from just blood, for example blood that has been drawn from a body; or from just interstitial fluid; from just cellular material; or from any two of these materials.
- the glucose sensors described herein operate by transmitting an electromagnetic signal in the radio or microwave frequency range of the electromagnetic spectrum toward and into a target using a transmit antenna.
- a returning signal that results from the transmission of the transmitted signal is detected by a receive antenna.
- the signal(s) detected by the receive antenna can be analyzed to detect the analyte based on the intensity of the received signal(s) and reductions in intensity at one or more frequencies where the analyte absorbs the transmitted signal.
- FIG. 1 illustrates the glucose sensor configured as a non-invasive glucose sensor that uses two or more antennas including one that functions as a transmit antenna and one that functions as a receive antenna.
- the transmit antenna and the receive antenna can be located near the target and operated as further described herein to assist in detecting glucose in the target.
- the transmit antenna transmits a signal toward and into the target.
- the receive antenna detects a response resulting from transmission of the signal by the transmit antenna into the target.
- the transmit antenna and the receive antenna are decoupled (which may also be referred to as detuned or the like) from one another.
- Decoupling refers to intentionally fabricating the configuration and/or arrangement of the transmit antenna and the receive antenna to minimize direct communication between the transmit antenna and the receive antenna, preferably absent shielding. Shielding between the transmit antenna and the receive antenna can be utilized. However, the transmit antenna and the receive antenna are decoupled even without the presence of shielding.
- FIG. 1 an embodiment of a non-invasive glucose sensor system with a non-invasive glucose sensor 5 is illustrated.
- the sensor 5 is depicted relative to a target 7 from which the glucose 9 is to be detected.
- the glucose 9 can be in blood of the target 7 , interstitial fluid of the target 7 , and cellular material of the target 7 .
- the sensor 5 is depicted as including an antenna array that includes a transmit antenna/element 11 (hereinafter “transmit antenna 11 ”) and a receive antenna/element 13 (hereinafter “receive antenna 13 ”).
- the sensor 5 further includes a transmit circuit 15 , a receive circuit 17 , and a controller 19 .
- the sensor 5 can also include a power supply, such as a battery (not shown in FIG. 1 ). In some embodiments, power can be provided from mains power, for example by plugging the sensor 5 into a wall socket via a cord connected to the sensor 5 .
- the transmit antenna 11 is positioned, arranged and configured to transmit a signal 21 that is in the radio frequency (RF) or microwave range of the electromagnetic spectrum into the target 7 .
- the transmit antenna 11 can be an electrode or any other suitable transmitter of electromagnetic signals in the radio frequency (RF) or microwave range.
- the transmit antenna 11 can have any arrangement and orientation relative to the target 7 that is sufficient to allow the analyte sensing to take place. In one non-limiting embodiment, the transmit antenna 11 can be arranged to face in a direction that is substantially toward the target 7 .
- the signal 21 transmitted by the transmit antenna 11 is generated by the transmit circuit 15 which is electrically connectable to the transmit antenna 11 .
- the transmit circuit 15 can have any configuration that is suitable to generate a transmit signal to be transmitted by the transmit antenna 11 .
- Transmit circuits for generating transmit signals in the RF or microwave frequency range are well known in the art.
- the transmit circuit 15 can include, for example, a connection to a power source, a frequency generator, and optionally filters, amplifiers or any other suitable elements for a circuit generating an RF or microwave frequency electromagnetic signal.
- the signal generated by the transmit circuit 15 can have frequency that is in the range from about 10 kHz to about 100 GHz.
- the frequency can be in a range from about 300 MHz to about 6000 MHz.
- the transmit circuit 15 can be configured to sweep through a range of frequencies that are within the range of about 10 kHz to about 100 GHz, or in another embodiment a range of about 300 MHz to about 6000 MHz.
- the receive antenna 13 is positioned, arranged, and configured to detect one or more electromagnetic response signals 23 that result from the transmission of the transmit signal 21 by the transmit antenna 11 into the target 7 and impinging on the glucose molecules 9 .
- the receive antenna 13 can be an electrode or any other suitable receiver of electromagnetic signals in the radio frequency (RF) or microwave range.
- the receive antenna 13 is configured to detect electromagnetic signals having a frequency that is in the range from about 10 kHz to about 100 GHz, or in another embodiment a range from about 300 MHz to about 6000 MHz.
- the receive antenna 13 can have any arrangement and orientation relative to the target 7 that is sufficient to allow detection of the response signal(s) 23 to allow the glucose sensing to take place.
- the receive antenna 13 can be arranged to face in a direction that is substantially toward the target 7 .
- the receive circuit 17 is electrically connectable to the receive antenna 13 and conveys the received response from the receive antenna 13 to the controller 19 .
- the receive circuit 17 can have any configuration that is suitable for interfacing with the receive antenna 13 to convert the electromagnetic energy detected by the receive antenna 13 into one or more signals reflective of the response signal(s) 23 .
- the construction of receive circuits are well known in the art.
- the receive circuit 17 can be configured to condition the signal(s) prior to providing the signal(s) to the controller 19 , for example through amplifying the signal(s), filtering the signal(s), or the like. Accordingly, the receive circuit 17 may include filters, amplifiers, or any other suitable components for conditioning the signal(s) provided to the controller 19 .
- the controller 19 controls the operation of the sensor 5 .
- the controller 19 can direct the transmit circuit 15 to generate a transmit signal to be transmitted by the transmit antenna 11 .
- the controller 19 further receives signals from the receive circuit 17 .
- the controller 19 can optionally process the signals from the receive circuit 17 to detect the analyte(s) 9 in the target 7 .
- the controller 19 may optionally be in communication with at least one external device 25 such as a user device and/or a remote server 27 , for example through one or more wireless connections such as Bluetooth, wireless data connections such a 4G, 5G, LTE or the like, or Wi-Fi.
- the external device 25 and/or remote server 27 may process (or further process) the signals that the controller 19 receives from the receive circuit 17 , for example to detect the glucose molecules 9 . If provided, the external device 25 may be used to provide communication between the sensor 5 and the remote server 27 , for example using a wired data connection or via a wireless data connection or Wi-Fi of the external device 25 to provide the connection to the remote server 27 .
- the sensor 5 may include a sensor housing 29 (shown in dashed lines) that defines an interior space 31 .
- Components of the sensor 5 may be attached to and/or disposed within the housing 29 .
- the transmit antenna 11 and the receive antenna 13 are attached to the housing 29 .
- the antennas 11 , 13 may be entirely or partially within the interior space 31 of the housing 29 .
- the antennas 11 , 13 may be attached to the housing 29 but at least partially or fully located outside the interior space 31 .
- the transmit circuit 15 , the receive circuit 17 and the controller 19 are attached to the housing 29 and disposed entirely within the sensor housing 29 .
- the receive antenna 13 is decoupled or detuned with respect to the transmit antenna 11 such that electromagnetic coupling between the transmit antenna 11 and the receive antenna 13 is reduced.
- the decoupling of the transmit antenna 11 and the receive antenna 13 increases the portion of the signal(s) detected by the receive antenna 13 that is the response signal(s) 23 from the target 7 , and minimizes direct receipt of the transmitted signal 21 by the receive antenna 13 .
- the decoupling of the transmit antenna 11 and the receive antenna 13 results in transmission from the transmit antenna 11 to the receive antenna 13 having a reduced forward gain (S 21 ) and an increased reflection at output (S 22 ) compared to antenna systems having coupled transmit and receive antennas.
- coupling between the transmit antenna 11 and the receive antenna 13 is 95% or less. In another embodiment, coupling between the transmit antenna 11 and the receive antenna 13 is 90% or less. In another embodiment, coupling between the transmit antenna 11 and the receive antenna 13 is 85% or less. In another embodiment, coupling between the transmit antenna 11 and the receive antenna 13 is 75% or less.
- any technique for reducing coupling between the transmit antenna 11 and the receive antenna 13 can be used.
- the decoupling between the transmit antenna 11 and the receive antenna 13 can be achieved by one or more intentionally fabricated configurations and/or arrangements between the transmit antenna 11 and the receive antenna 13 that is sufficient to decouple the transmit antenna 11 and the receive antenna 13 from one another.
- the decoupling of the transmit antenna 11 and the receive antenna 13 can be achieved by intentionally configuring the transmit antenna 11 and the receive antenna 13 to have different geometries from one another.
- Intentionally different geometries refers to different geometric configurations of the transmit and receive antennas 11 , 13 that are intentional. Intentional differences in geometry are distinct from differences in geometry of transmit and receive antennas that may occur by accident or unintentionally, for example due to manufacturing errors or tolerances.
- Another technique to achieve decoupling of the transmit antenna 11 and the receive antenna 13 is to provide appropriate spacing between each antenna 11 , 13 that is sufficient to decouple the antennas 11 , 13 and force a proportion of the electromagnetic lines of force of the transmitted signal 21 into the target 7 thereby minimizing or eliminating as much as possible direct receipt of electromagnetic energy by the receive antenna 13 directly from the transmit antenna 11 without traveling into the target 7 .
- the appropriate spacing between each antenna 11 , 13 can be determined based upon factors that include, but are not limited to, the output power of the signal from the transmit antenna 11 , the size of the antennas 11 , 13 , the frequency or frequencies of the transmitted signal, and the presence of any shielding between the antennas.
- This technique helps to ensure that the response detected by the receive antenna 13 is measuring the glucose molecules 9 and is not just the transmitted signal 21 flowing directly from the transmit antenna 11 to the receive antenna 13 .
- the appropriate spacing between the antennas 11 , 13 can be used together with the intentional difference in geometries of the antennas 11 , 13 to achieve decoupling.
- the transmit signal (or each of the transmit signals) can be transmitted over a transmit time that is less than, equal to, or greater than about 300 ms. In another embodiment, the transmit time can be less than, equal to, or greater than about 200 ms. In still another embodiment, the transmit time can be less than, equal to, or greater than about 30 ms. The transmit time could also have a magnitude that is measured in seconds, for example 1 second, 5 seconds, 10 seconds, or more. In an embodiment, the same transmit signal can be transmitted multiple times, and then the transmit time can be averaged. In another embodiment, the transmit signal (or each of the transmit signals) can be transmitted with a duty cycle that is less than or equal to about 50%.
- one technique for decoupling the transmit antenna 11 from the receive antenna 13 is to intentionally configure the transmit antenna 11 and the receive antenna 13 to have intentionally different geometries.
- Intentionally different geometries refers to differences in geometric configurations of the transmit and receive antennas 11 , 13 that are intentional, and is distinct from differences in geometry of the transmit and receive antennas 11 , 13 that may occur by accident or unintentionally, for example due to manufacturing errors or tolerances when fabricating the antennas 11 , 13 .
- the different geometries of the antennas 11 , 13 may manifest itself, and may be described, in a number of different ways. For example, in a plan view of each of the antennas 11 , 13 (such as in FIGS. 2 A-C ), the shapes of the perimeter edges of the antennas 11 , 13 may be different from one another. The different geometries may result in the antennas 11 , 13 having different surface areas in plan view. The different geometries may result in the antennas 11 , 13 having different aspect ratios in plan view (i.e. a ratio of their sizes in different dimensions; for example, as discussed in further detail below, the ratio of the length divided by the width of the antenna 11 may be different than the ratio of the length divided by the width for the antenna 13 ). In some embodiments, the different geometries may result in the antennas 11 , 13 having any combination of different perimeter edge shapes in plan view, different surface areas in plan view, and/or different aspect ratios.
- a difference in geometry or a difference in geometrical shape of the antennas 11 , 13 refers to any intentional difference in the figure, length, width, size, shape, area closed by a boundary (i.e. the perimeter edge), etc. when the respective antenna 11 , 13 is viewed in a plan view.
- the antennas 11 , 13 can have any configuration and can be formed from any suitable material that allows them to perform the functions of the antennas 11 , 13 as described herein.
- the antennas 11 , 13 can be formed by strips of material.
- a strip of material can include a configuration where the strip has at least one lateral dimension thereof greater than a thickness dimension thereof when the antenna is viewed in a plan view (in other words, the strip is relatively flat or of relatively small thickness compared to at least one other lateral dimension, such as length or width when the antenna is viewed in a plan view as in FIGS. 2 A-C ).
- a strip of material can include a wire.
- the antennas 11 , 13 can be formed from any suitable conductive material(s) including metals and conductive non-metallic materials. Examples of metals that can be used include, but are not limited to, copper or gold. Another example of a material that can be used is non-metallic materials that are doped with metallic material to make the non-metallic material conductive.
- FIG. 2 A illustrates a plan view of an antenna array having two antennas with different geometries.
- the antennas 11 , 13 are illustrated as substantially linear strips.
- the antennas 11 , 13 differ in geometry from one another in that the shapes of the ends of the antennas 11 , 13 differ from one another.
- the right end 42 of the antenna 11 has a different shape than the right end 44 of the antenna 13 .
- the left end 46 of the antenna 11 may have a similar shape as the right end 42 , but differs from the left end 48 of the antenna 13 which may have a similar shape as the right end 44 .
- the lateral lengths L 11 , L 13 and/or the lateral widths W 11 , W 13 of the antennas 13 could differ from one another.
- FIG. 2 B illustrates another plan view of an antenna array having two antennas with different geometries that is somewhat similar to FIG. 2 A .
- the antennas 11 , 13 are illustrated as substantially linear strips, and the antennas 11 , 13 differ in geometry from one another in that the shapes of the ends of the antennas 11 , 13 differ from one another.
- the right end 42 of the antenna 11 has a different shape than the right end 44 of the antenna 13 .
- the left end 46 of the antenna 11 may have a similar shape as the right end 42 , but differs from the left end 48 of the antenna 13 which may have a similar shape as the right end 44 .
- the lateral widths W 11 , W 13 of the antennas 11 , 13 differ from one another. It is also possible that the lateral lengths L 11 , L 13 of the antennas 11 , 13 could differ from one another.
- FIG. 2 C illustrates another plan view of an antenna array having two antennas with different geometries that is somewhat similar to FIGS. 2 A and 2 B .
- the antennas 11 , 13 are illustrated as substantially linear strips, and the antennas 11 , 13 differ in geometry from one another in that the shapes of the ends of the antennas 11 , 13 differ from one another.
- the right end 42 of the antenna 11 has a different shape than the right end 44 of the antenna 13 .
- the left end 46 of the antenna 11 may have a similar shape as the right end 42 , but differs from the left end 48 of the antenna 13 which may have a similar shape as the right end 44 .
- the lateral widths W 11 , W 13 of the antennas 11 , 13 differ from one another. It is also possible that the lateral lengths L 11 , L 13 of the antennas 11 , 13 could differ from one another.
- FIGS. 1 and 2 A -C depict the use of two antennas. However, a different number of antennas can be used, as long as at least one of the antennas can function as a transmit antenna and as long as at least one of the antennas can function as a receive antenna.
- FIG. 3 illustrates a plan view of an antenna array having six antennas illustrated as substantially linear strips. In this example, the antennas differ in geometry from one another in that the shapes of the ends of the antennas, the lateral lengths and/or the lateral widths of the antennas may differ from one another. However, in one embodiment three antennas can be used, four antennas can be used, five antennas can be used, etc.
- each antenna A 1 -A 6 can function as either a transmit antenna or as a receive antenna. In another embodiment, each antenna A 1 -A 6 can operate solely as a transmit antenna or as a receive antenna. All of the antennas A 1 -A 6 are depicted as being disposed on the same substrate 35 . However, the antennas A 1 -A 6 can be disposed on two or more substrates. In addition, each one of the antennas A 1 -A 6 has a longitudinal axis LA (depicted in dashed lines), and the longitudinal axes LA of the antennas A 1 -A 6 are illustrated as being parallel to each other. However, the longitudinal axes LA need not be parallel. Some of the longitudinal axes may be parallel to one another while others are angled; or all of the longitudinal axes may be angled (i.e. not parallel to one another).
- At least one of the antennas A 1 -A 6 has a rectangular shape
- at least one of the antennas A 1 -A 6 has a stadium shape
- at least one of the antennas A 1 -A 6 has a rounded rectangle shape.
- two of the antennas, such as the antennas A 3 and A 6 have a rectangular shape
- two of the antennas, such as the antennas A 1 and A 4 have a stadium shape
- two of the antennas, such as the antennas A 2 and A 5 have a rounded rectangle shape.
- a stadium shape is a two-dimensional geometric shape constructed of a rectangle with semicircles at opposite ends.
- a rounded rectangle shape is a two-dimensional geometric shape constructed of a rectangle with radiuses at each corner of the rectangle.
- the antennas in FIG. 3 are arranged on the substrate 35 in a manner such that two antennas with the same shape are not located next to one another.
- the antenna array in FIG. 3 is configured such that a first one of the antennas, such as the antenna A 1 or A 4 , has a first perimeter length; a second one of the antennas, such as the antenna A 2 or A 5 , has a second perimeter length; and a third one of the antennas, such as the antenna A 3 or A 6 , has a third perimeter length.
- the first perimeter length, the second perimeter length, and the third perimeter length differ from one another. The difference in perimeter lengths is due to the different geometric shapes of the antennas.
- the antennas A 1 -A 6 can have different geometric shapes but some or all of the perimeter lengths of the antennas A 1 -A 6 can be the same.
- the antennas A 1 -A 6 can have the same geometric shape but different perimeter lengths.
- each antenna A 1 -A 6 can have the same maximum longitudinal length L and the same maximum width W, with the different geometrical shapes accounting for the different perimeter lengths.
- MARD glucose senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor senor a glucose reading of a reference glucose sensor. The lower the MARD value, the more accurate the glucose sensor is. For example, the MARD value can be determined as follows:
- y gs is the value measured by the glucose sensor described herein at time t k ;
- the glucose sensor described herein has a MARD value of between about 5.0% to about 9.9%, or the MARD value is between about 5.0% to about 7%, or the MARD value is about 5.0%.
- the MARD value of the sensor described herein is based on a comparison between one or more glucose readings obtained by the glucose sensor described herein with one or more glucose readings contemporaneously obtained by a fingerstick sensor or by a minimally invasive continuous glucose sensor as the reference sensor. Applicant believes that a MARD value of between about 5.0% to about 9.9% would also be obtained by the glucose sensor described herein when compared to a reference value determined by a YSI glucose analyzer.
- the non-invasive glucose sensor described herein has an accuracy that is greater than an accuracy of commercially available glucose sensors such as minimally invasive continuous glucose sensor and fingerstick glucose sensor.
- minimally invasive continuous glucose sensors are, but are not limited to, the FreeStyle Libre® CGM, the Dexcom® G6, and many others.
- An example of a fingerstick glucose sensor includes, but is not limited to, a OneTouch® Ultra®2.
- the Dexcom G6 has a MARD value of around 9%
- the FreeStyle Libre has a MARD value of around 9.3% each of which is determined compared to a reference value determined by a YSI glucose analyzer.
- the OneTouch Ultra2 has a reported MARD value that ranges from around 16.7 to about 30.1 which is determined compared to a reference value determined by a YSI glucose analyzer.
- the non-invasive glucose sensor described herein has a high accuracy.
- One reason for the high accuracy of the glucose sensor described herein is believed to be that the sensor simultaneously obtains glucose readings from blood, interstitial fluid and cellular material.
- Conventional glucose sensors such as minimally invasive continuous glucose monitors (CGMs) and fingerstick sensors, obtain glucose readings from one source, namely interstitial fluid in the case of minimally invasive CGMs and blood in the case of fingerstick sensors.
- CGMs minimally invasive continuous glucose monitors
- fingerstick sensors obtain glucose readings from one source, namely interstitial fluid in the case of minimally invasive CGMs and blood in the case of fingerstick sensors.
- the glucose sensor transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum, with the glucose sensor having at least two antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals and at least one of which operates as a receive antenna, and the glucose sensor simultaneously detects glucose from blood, interstitial fluid, and cellular material.
- the high accuracy of the non-invasive glucose sensor described herein when compared to lower accuracy glucose sensors such as minimally invasive CGMs and fingerstick glucose sensors, means that the non-invasive glucose sensor described herein can be used as a standard or reference sensor against which the accuracy of other glucose sensors are gauged. In one embodiment, readings from the non-invasive glucose sensor described herein can be used in place of readings obtained by a YSI glucose analyzer.
- FIG. 4 schematically depicts a method 50 of using the analyte sensor described herein as a reference or standard glucose sensor against which the accuracy of a minimally invasive glucose sensor, such as a minimally invasive CGM, is determined.
- a glucose reading is obtained using the minimally invasive glucose sensor.
- a reference glucose reading is obtained using the radio/microwave frequency glucose sensor described herein.
- the glucose reading from the minimally invasive glucose sensor is compared against the reference glucose reading that is obtained at 54 . For example, the comparison could be done in order to determine the MARD value of the minimally invasive glucose sensor as described above.
- an accuracy value of the minimally invasive glucose sensor is then determined based on the comparison at 56 .
- the glucose sensor described herein can be considered continuous in that it operates substantially continuously to obtain multiple glucose readings over an extended period of time.
- the glucose sensor described herein can be considered “on-demand” whereby a user initiates a reading or readings.
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Abstract
Description
- This disclosure relates generally to apparatus, systems and methods of detecting an analyte via spectroscopic techniques using an analyte sensor that operates in the radio or microwave frequency range of the electromagnetic spectrum.
- There is interest in being able to detect and/or measure an analyte within a target. One example is measuring glucose in biological tissue. In the example of measuring glucose in a patient, many current analyte measurement methods are invasive in that they perform the measurement on a bodily fluid such as blood for fingerstick or laboratory-based tests, or on fluid that is drawn from the patient often using an invasive transcutaneous device. There are non-invasive methods that claim to be able to perform glucose measurements in biological tissues. However, many of the non-invasive methods generally suffer from: lack of specificity to the analyte of interest, such as glucose; interference from temperature fluctuations; interference from skin compounds (i.e. sweat) and pigments; and complexity of placement, i.e. the sensing device resides on multiple locations on the patient's body.
- This disclosure relates generally to apparatus, systems and methods of detecting an analyte via spectroscopic techniques using non-optical frequencies such as in the radio or microwave frequency range of the electromagnetic spectrum. An analyte sensor described herein includes a plurality of detector elements (also referred to as antenna elements or antennas) at least one of which can transmit an electromagnetic signal in the radio or microwave frequency range into a target and at least one of which can receive an electromagnetic signal in the radio or microwave frequency range resulting from transmission of the electromagnetic signal. In an embodiment, the detector elements may be part of a common detector array.
- The analyte sensor described herein can be used to detect glucose and/or other analyte(s). When used to detect glucose, the sensor can be referred to as a glucose sensor. When used to detect an analyte in general, including glucose and other analytes, the sensor can be referred to as an analyte sensor. The sensor described herein can operate non-invasively whereby the sensor remains completely external to the body from which the glucose or other analyte(s) is sensed. In other embodiments, the sensor can operate in a minimally invasive manner whereby a portion of the sensor pierces the body, the sensor can be invasive whereby the sensor is completely installed in the body, or the sensor can sense glucose or other analyte(s) from a material or fluid that is drawn from and external to the body.
- One way to assess the accuracy of a glucose sensor is mean absolute relative difference (MARD). A MARD value of a glucose sensor is determined by comparing the glucose reading of the glucose sensor against a reference glucose reading of a reference glucose sensor. The lower the MARD value, the more accurate the glucose sensor is. The glucose sensor described herein that operates using signals that are in the radio or microwave frequency range is highly accurate. For example, the glucose sensor described herein has a MARD value of about 5.0% to about 9.9%, or a MARD value of about 5.0% to about 7%, or a MARD value is about 5.0%.
- In one embodiment, a glucose sensor that transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum is provided. The glucose sensor has at least two antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals and at least one of which operates as a receive antenna, and the glucose sensor has a MARD value of about 5.0% to about 9.9%, or of about 5.0% to about 7.0%, or of about 5.0%.
- In another embodiment, a non-invasive glucose sensor is described that transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum to detect glucose in a human or animal body. The non-invasive glucose sensor has at least three antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals into the human or animal body and at least one of which operates as a receive antenna, and the non-invasive glucose sensor has an accuracy that is greater than the accuracy of commercially available glucose sensors such as a) a minimally invasive continuous glucose sensor and b) a fingerstick glucose sensor. For example, the glucose sensor described herein can have a MARD value of about 5.0% to about 9.9%, or of about 5.0% to about 7.0%, or of about 5.0%.
- The high accuracy of the glucose sensor described herein would permit the described glucose sensor to be used as a standard or reference glucose sensor against which the performance of other glucose sensors, such as minimally invasive CGMs and fingerstick sensors, can be compared to determine their accuracy.
- For example, a minimally invasive glucose sensor performance analysis method described herein includes obtaining a glucose reading using the minimally invasive glucose sensor, and comparing the glucose reading against a reference glucose reading that is obtained at generally the same time by a reference glucose sensor that transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum, where the reference glucose sensor has at least two antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals and at least one of which operates as a receive antenna. In addition, an accuracy value, such as a MARD value, of the minimally invasive glucose sensor is generated based on the comparing of the glucose reading against the reference glucose reading.
-
FIG. 1 is a schematic depiction of an analyte sensor system with an analyte sensor relative to a target according to an embodiment. -
FIGS. 2A-2C illustrate different examples of transmit and receive antennas with different geometries. -
FIG. 3 illustrates another example of an antenna array that can be used. -
FIG. 4 is a schematic depiction of a method of using the analyte sensor described herein as a reference or standard glucose sensor against which the performance of other glucose sensors can be compared to determine their accuracy. - The following is a detailed description of apparatus, systems and methods of detecting an analyte via spectroscopic techniques using non-optical frequencies such as in the radio or microwave frequency bands of the electromagnetic spectrum. An analyte sensor described herein includes a plurality of antennas or detector elements, at least one of which can transmit an electromagnetic signal in the radio or microwave frequency range into a target and at least one of which can receive an electromagnetic signal in the radio or microwave frequency range resulting from transmission of the electromagnetic signal. In an embodiment, the antennas may be part of a common antenna array. Further information on the construction and operation of analyte sensors are disclosed in U.S. Pat. Nos. 10,548,503; 11,063,373; 11,234,619; 11,031,970; 11,223,383; 11,058,317; 11,058,331; 11,193,923; 11,033,208; and U.S. Patent Application Publications 2021/0186357; 2021/0244308; 2021/0259571; 2021/0259592; 2021/0259593; 2022/0071523; 2022/0077918; 2022/0077602; 2022/0071527; 2022/0071505; 2022/0074870; 2022/0078471; 2022/0071524; each one of which is incorporated herein by reference in its entirety.
- The analyte sensor described herein can be used to detect glucose and/or other analyte(s). When used to detect glucose, the sensor can be referred to as a glucose sensor. When used to detect an analyte in general, including glucose and other analytes, the sensor can be referred to as an analyte sensor. The sensor described herein can operate non-invasively whereby the sensor remains completely external to the body from which the glucose or other analyte(s) is sensed and the detection of the glucose or other analyte occurs without requiring removal of fluid or other removal from the target, such as the human body. In other embodiments, the sensor can operate in a minimally invasive manner whereby a portion of the sensor pierces the body, the sensor can be invasive whereby the sensor is completely installed in the body, or the sensor can sense glucose or other analyte(s) from a material or fluid that is drawn from and external to the body.
- For sake of convenience, hereinafter the sensor will be described as sensing glucose and the sensor will be referred to as a glucose sensor. When used non-invasively, the glucose sensor described herein simultaneously obtains glucose readings from blood, interstitial fluid and cellular material which increases the accuracy of the glucose sensor compared to conventional glucose sensors, such as minimally invasive continuous glucose monitors (CGMs) and fingerstick sensors, which obtain glucose readings from one source, namely interstitial fluid in the case of minimally invasive CGMs and blood in the case of fingerstick sensors. However, in one embodiment, the glucose sensor described herein can be used to detect glucose from just blood, for example blood that has been drawn from a body; or from just interstitial fluid; from just cellular material; or from any two of these materials.
- The glucose sensors described herein operate by transmitting an electromagnetic signal in the radio or microwave frequency range of the electromagnetic spectrum toward and into a target using a transmit antenna. A returning signal that results from the transmission of the transmitted signal is detected by a receive antenna. The signal(s) detected by the receive antenna can be analyzed to detect the analyte based on the intensity of the received signal(s) and reductions in intensity at one or more frequencies where the analyte absorbs the transmitted signal.
-
FIG. 1 illustrates the glucose sensor configured as a non-invasive glucose sensor that uses two or more antennas including one that functions as a transmit antenna and one that functions as a receive antenna. The transmit antenna and the receive antenna can be located near the target and operated as further described herein to assist in detecting glucose in the target. The transmit antenna transmits a signal toward and into the target. The receive antenna detects a response resulting from transmission of the signal by the transmit antenna into the target. - The transmit antenna and the receive antenna are decoupled (which may also be referred to as detuned or the like) from one another. Decoupling refers to intentionally fabricating the configuration and/or arrangement of the transmit antenna and the receive antenna to minimize direct communication between the transmit antenna and the receive antenna, preferably absent shielding. Shielding between the transmit antenna and the receive antenna can be utilized. However, the transmit antenna and the receive antenna are decoupled even without the presence of shielding.
- Referring now to
FIG. 1 , an embodiment of a non-invasive glucose sensor system with anon-invasive glucose sensor 5 is illustrated. Thesensor 5 is depicted relative to atarget 7 from which theglucose 9 is to be detected. Theglucose 9 can be in blood of thetarget 7, interstitial fluid of thetarget 7, and cellular material of thetarget 7. In this example, thesensor 5 is depicted as including an antenna array that includes a transmit antenna/element 11 (hereinafter “transmitantenna 11”) and a receive antenna/element 13 (hereinafter “receiveantenna 13”). Thesensor 5 further includes a transmitcircuit 15, a receivecircuit 17, and acontroller 19. Thesensor 5 can also include a power supply, such as a battery (not shown inFIG. 1 ). In some embodiments, power can be provided from mains power, for example by plugging thesensor 5 into a wall socket via a cord connected to thesensor 5. - The transmit
antenna 11 is positioned, arranged and configured to transmit asignal 21 that is in the radio frequency (RF) or microwave range of the electromagnetic spectrum into thetarget 7. The transmitantenna 11 can be an electrode or any other suitable transmitter of electromagnetic signals in the radio frequency (RF) or microwave range. The transmitantenna 11 can have any arrangement and orientation relative to thetarget 7 that is sufficient to allow the analyte sensing to take place. In one non-limiting embodiment, the transmitantenna 11 can be arranged to face in a direction that is substantially toward thetarget 7. - The
signal 21 transmitted by the transmitantenna 11 is generated by the transmitcircuit 15 which is electrically connectable to the transmitantenna 11. The transmitcircuit 15 can have any configuration that is suitable to generate a transmit signal to be transmitted by the transmitantenna 11. Transmit circuits for generating transmit signals in the RF or microwave frequency range are well known in the art. In one embodiment, the transmitcircuit 15 can include, for example, a connection to a power source, a frequency generator, and optionally filters, amplifiers or any other suitable elements for a circuit generating an RF or microwave frequency electromagnetic signal. In an embodiment, the signal generated by the transmitcircuit 15 can have frequency that is in the range from about 10 kHz to about 100 GHz. In another embodiment, the frequency can be in a range from about 300 MHz to about 6000 MHz. In an embodiment, the transmitcircuit 15 can be configured to sweep through a range of frequencies that are within the range of about 10 kHz to about 100 GHz, or in another embodiment a range of about 300 MHz to about 6000 MHz. - The receive
antenna 13 is positioned, arranged, and configured to detect one or more electromagnetic response signals 23 that result from the transmission of the transmitsignal 21 by the transmitantenna 11 into thetarget 7 and impinging on theglucose molecules 9. The receiveantenna 13 can be an electrode or any other suitable receiver of electromagnetic signals in the radio frequency (RF) or microwave range. In an embodiment, the receiveantenna 13 is configured to detect electromagnetic signals having a frequency that is in the range from about 10 kHz to about 100 GHz, or in another embodiment a range from about 300 MHz to about 6000 MHz. The receiveantenna 13 can have any arrangement and orientation relative to thetarget 7 that is sufficient to allow detection of the response signal(s) 23 to allow the glucose sensing to take place. In one non-limiting embodiment, the receiveantenna 13 can be arranged to face in a direction that is substantially toward thetarget 7. - The receive
circuit 17 is electrically connectable to the receiveantenna 13 and conveys the received response from the receiveantenna 13 to thecontroller 19. The receivecircuit 17 can have any configuration that is suitable for interfacing with the receiveantenna 13 to convert the electromagnetic energy detected by the receiveantenna 13 into one or more signals reflective of the response signal(s) 23. The construction of receive circuits are well known in the art. The receivecircuit 17 can be configured to condition the signal(s) prior to providing the signal(s) to thecontroller 19, for example through amplifying the signal(s), filtering the signal(s), or the like. Accordingly, the receivecircuit 17 may include filters, amplifiers, or any other suitable components for conditioning the signal(s) provided to thecontroller 19. - The
controller 19 controls the operation of thesensor 5. Thecontroller 19, for example, can direct the transmitcircuit 15 to generate a transmit signal to be transmitted by the transmitantenna 11. Thecontroller 19 further receives signals from the receivecircuit 17. Thecontroller 19 can optionally process the signals from the receivecircuit 17 to detect the analyte(s) 9 in thetarget 7. In one embodiment, thecontroller 19 may optionally be in communication with at least oneexternal device 25 such as a user device and/or aremote server 27, for example through one or more wireless connections such as Bluetooth, wireless data connections such a 4G, 5G, LTE or the like, or Wi-Fi. If provided, theexternal device 25 and/orremote server 27 may process (or further process) the signals that thecontroller 19 receives from the receivecircuit 17, for example to detect theglucose molecules 9. If provided, theexternal device 25 may be used to provide communication between thesensor 5 and theremote server 27, for example using a wired data connection or via a wireless data connection or Wi-Fi of theexternal device 25 to provide the connection to theremote server 27. - With continued reference to
FIG. 1 , thesensor 5 may include a sensor housing 29 (shown in dashed lines) that defines aninterior space 31. Components of thesensor 5 may be attached to and/or disposed within thehousing 29. For example, the transmitantenna 11 and the receiveantenna 13 are attached to thehousing 29. In some embodiments, theantennas interior space 31 of thehousing 29. In some embodiments, theantennas housing 29 but at least partially or fully located outside theinterior space 31. In some embodiments, the transmitcircuit 15, the receivecircuit 17 and thecontroller 19 are attached to thehousing 29 and disposed entirely within thesensor housing 29. - The receive
antenna 13 is decoupled or detuned with respect to the transmitantenna 11 such that electromagnetic coupling between the transmitantenna 11 and the receiveantenna 13 is reduced. The decoupling of the transmitantenna 11 and the receiveantenna 13 increases the portion of the signal(s) detected by the receiveantenna 13 that is the response signal(s) 23 from thetarget 7, and minimizes direct receipt of the transmittedsignal 21 by the receiveantenna 13. The decoupling of the transmitantenna 11 and the receiveantenna 13 results in transmission from the transmitantenna 11 to the receiveantenna 13 having a reduced forward gain (S21) and an increased reflection at output (S22) compared to antenna systems having coupled transmit and receive antennas. - In an embodiment, coupling between the transmit
antenna 11 and the receiveantenna 13 is 95% or less. In another embodiment, coupling between the transmitantenna 11 and the receiveantenna 13 is 90% or less. In another embodiment, coupling between the transmitantenna 11 and the receiveantenna 13 is 85% or less. In another embodiment, coupling between the transmitantenna 11 and the receiveantenna 13 is 75% or less. - Any technique for reducing coupling between the transmit
antenna 11 and the receiveantenna 13 can be used. For example, the decoupling between the transmitantenna 11 and the receiveantenna 13 can be achieved by one or more intentionally fabricated configurations and/or arrangements between the transmitantenna 11 and the receiveantenna 13 that is sufficient to decouple the transmitantenna 11 and the receiveantenna 13 from one another. - For example, in one embodiment described further below, the decoupling of the transmit
antenna 11 and the receiveantenna 13 can be achieved by intentionally configuring the transmitantenna 11 and the receiveantenna 13 to have different geometries from one another. Intentionally different geometries refers to different geometric configurations of the transmit and receiveantennas - Another technique to achieve decoupling of the transmit
antenna 11 and the receiveantenna 13 is to provide appropriate spacing between eachantenna antennas signal 21 into thetarget 7 thereby minimizing or eliminating as much as possible direct receipt of electromagnetic energy by the receiveantenna 13 directly from the transmitantenna 11 without traveling into thetarget 7. The appropriate spacing between eachantenna antenna 11, the size of theantennas antenna 13 is measuring theglucose molecules 9 and is not just the transmittedsignal 21 flowing directly from the transmitantenna 11 to the receiveantenna 13. In some embodiments, the appropriate spacing between theantennas antennas - In one embodiment, the transmit signal (or each of the transmit signals) can be transmitted over a transmit time that is less than, equal to, or greater than about 300 ms. In another embodiment, the transmit time can be less than, equal to, or greater than about 200 ms. In still another embodiment, the transmit time can be less than, equal to, or greater than about 30 ms. The transmit time could also have a magnitude that is measured in seconds, for example 1 second, 5 seconds, 10 seconds, or more. In an embodiment, the same transmit signal can be transmitted multiple times, and then the transmit time can be averaged. In another embodiment, the transmit signal (or each of the transmit signals) can be transmitted with a duty cycle that is less than or equal to about 50%.
- As mentioned above, one technique for decoupling the transmit
antenna 11 from the receiveantenna 13 is to intentionally configure the transmitantenna 11 and the receiveantenna 13 to have intentionally different geometries. Intentionally different geometries refers to differences in geometric configurations of the transmit and receiveantennas antennas antennas - The different geometries of the
antennas antennas 11, 13 (such as inFIGS. 2A-C ), the shapes of the perimeter edges of theantennas antennas antennas antenna 11 may be different than the ratio of the length divided by the width for the antenna 13). In some embodiments, the different geometries may result in theantennas - So as used herein, a difference in geometry or a difference in geometrical shape of the
antennas respective antenna - The
antennas antennas antennas FIGS. 2A-C ). A strip of material can include a wire. Theantennas -
FIG. 2A illustrates a plan view of an antenna array having two antennas with different geometries. In this example, theantennas antennas antennas FIG. 2A , theright end 42 of theantenna 11 has a different shape than theright end 44 of theantenna 13. Similarly, theleft end 46 of theantenna 11 may have a similar shape as theright end 42, but differs from theleft end 48 of theantenna 13 which may have a similar shape as theright end 44. It is also possible that the lateral lengths L11, L13 and/or the lateral widths W11, W13 of theantennas 13 could differ from one another. -
FIG. 2B illustrates another plan view of an antenna array having two antennas with different geometries that is somewhat similar toFIG. 2A . In this example, theantennas antennas antennas FIG. 2B , theright end 42 of theantenna 11 has a different shape than theright end 44 of theantenna 13. Similarly, theleft end 46 of theantenna 11 may have a similar shape as theright end 42, but differs from theleft end 48 of theantenna 13 which may have a similar shape as theright end 44. In addition, the lateral widths W11, W13 of theantennas antennas -
FIG. 2C illustrates another plan view of an antenna array having two antennas with different geometries that is somewhat similar toFIGS. 2A and 2B . In this example, theantennas antennas antennas FIG. 2C , theright end 42 of theantenna 11 has a different shape than theright end 44 of theantenna 13. Similarly, theleft end 46 of theantenna 11 may have a similar shape as theright end 42, but differs from theleft end 48 of theantenna 13 which may have a similar shape as theright end 44. In addition, the lateral widths W11, W13 of theantennas antennas - The examples in
FIGS. 1 and 2A -C depict the use of two antennas. However, a different number of antennas can be used, as long as at least one of the antennas can function as a transmit antenna and as long as at least one of the antennas can function as a receive antenna.FIG. 3 illustrates a plan view of an antenna array having six antennas illustrated as substantially linear strips. In this example, the antennas differ in geometry from one another in that the shapes of the ends of the antennas, the lateral lengths and/or the lateral widths of the antennas may differ from one another. However, in one embodiment three antennas can be used, four antennas can be used, five antennas can be used, etc. - Referring to
FIG. 3 , the antennas are labeled in order A1-A6. Each antenna A1-A6 can function as either a transmit antenna or as a receive antenna. In another embodiment, each antenna A1-A6 can operate solely as a transmit antenna or as a receive antenna. All of the antennas A1-A6 are depicted as being disposed on thesame substrate 35. However, the antennas A1-A6 can be disposed on two or more substrates. In addition, each one of the antennas A1-A6 has a longitudinal axis LA (depicted in dashed lines), and the longitudinal axes LA of the antennas A1-A6 are illustrated as being parallel to each other. However, the longitudinal axes LA need not be parallel. Some of the longitudinal axes may be parallel to one another while others are angled; or all of the longitudinal axes may be angled (i.e. not parallel to one another). - Further, at least one of the antennas A1-A6 has a rectangular shape, at least one of the antennas A1-A6 has a stadium shape, and at least one of the antennas A1-A6 has a rounded rectangle shape. In the illustrated embodiment, two of the antennas, such as the antennas A3 and A6, have a rectangular shape; two of the antennas, such as the antennas A1 and A4, have a stadium shape; and two of the antennas, such as the antennas A2 and A5, have a rounded rectangle shape. A stadium shape is a two-dimensional geometric shape constructed of a rectangle with semicircles at opposite ends. A rounded rectangle shape is a two-dimensional geometric shape constructed of a rectangle with radiuses at each corner of the rectangle. The antennas in
FIG. 3 are arranged on thesubstrate 35 in a manner such that two antennas with the same shape are not located next to one another. - The antenna array in
FIG. 3 is configured such that a first one of the antennas, such as the antenna A1 or A4, has a first perimeter length; a second one of the antennas, such as the antenna A2 or A5, has a second perimeter length; and a third one of the antennas, such as the antenna A3 or A6, has a third perimeter length. In one embodiment, the first perimeter length, the second perimeter length, and the third perimeter length differ from one another. The difference in perimeter lengths is due to the different geometric shapes of the antennas. In another embodiment, the antennas A1-A6 can have different geometric shapes but some or all of the perimeter lengths of the antennas A1-A6 can be the same. In still another embodiment, the antennas A1-A6 can have the same geometric shape but different perimeter lengths. In one embodiment, each antenna A1-A6 can have the same maximum longitudinal length L and the same maximum width W, with the different geometrical shapes accounting for the different perimeter lengths. - The glucose sensor described herein is highly accurate. One way to assess the accuracy of a glucose sensor is known as MARD. A MARD value of a glucose sensor is determined by comparing the glucose reading of the glucose sensor against a reference glucose reading of a reference glucose sensor. The lower the MARD value, the more accurate the glucose sensor is. For example, the MARD value can be determined as follows:
-
- where: ygs is the value measured by the glucose sensor described herein at time tk;
-
- yref is the value measured by the reference glucose sensor at time tk;
- tk, k=1, 2, . . . Nref are the times when the reference measurements are taken.
- For example, the glucose sensor described herein has a MARD value of between about 5.0% to about 9.9%, or the MARD value is between about 5.0% to about 7%, or the MARD value is about 5.0%. The MARD value of the sensor described herein is based on a comparison between one or more glucose readings obtained by the glucose sensor described herein with one or more glucose readings contemporaneously obtained by a fingerstick sensor or by a minimally invasive continuous glucose sensor as the reference sensor. Applicant believes that a MARD value of between about 5.0% to about 9.9% would also be obtained by the glucose sensor described herein when compared to a reference value determined by a YSI glucose analyzer.
- The non-invasive glucose sensor described herein has an accuracy that is greater than an accuracy of commercially available glucose sensors such as minimally invasive continuous glucose sensor and fingerstick glucose sensor. Examples of minimally invasive continuous glucose sensors are, but are not limited to, the FreeStyle Libre® CGM, the Dexcom® G6, and many others. An example of a fingerstick glucose sensor includes, but is not limited to, a OneTouch® Ultra®2. The Dexcom G6 has a MARD value of around 9%, and the FreeStyle Libre has a MARD value of around 9.3% each of which is determined compared to a reference value determined by a YSI glucose analyzer. The OneTouch Ultra2 has a reported MARD value that ranges from around 16.7 to about 30.1 which is determined compared to a reference value determined by a YSI glucose analyzer.
- There may be a number of reasons why the non-invasive glucose sensor described herein has a high accuracy. One reason for the high accuracy of the glucose sensor described herein is believed to be that the sensor simultaneously obtains glucose readings from blood, interstitial fluid and cellular material. Conventional glucose sensors, such as minimally invasive continuous glucose monitors (CGMs) and fingerstick sensors, obtain glucose readings from one source, namely interstitial fluid in the case of minimally invasive CGMs and blood in the case of fingerstick sensors. Accordingly, the glucose sensor transmits and receives sensing signals in a radio or microwave frequency range of the electromagnetic spectrum, with the glucose sensor having at least two antennas at least one of which operates as a transmit antenna to transmit one or more of the sensing signals and at least one of which operates as a receive antenna, and the glucose sensor simultaneously detects glucose from blood, interstitial fluid, and cellular material.
- Additional reasons for the high accuracy of the glucose sensor described herein are believed to be, but are not necessarily limited to, the control of frequency sweeps as described in U.S. Pat. No. 11,033,208, the entire contents of which are incorporated herein by reference in their entirety; the ability to use different combinations of transmit and receive antennas as described in U.S. Pat. No. 11,058,331, the entire contents of which are incorporated herein by reference in their entirety; and the use of different antenna geometries as described herein.
- The high accuracy of the non-invasive glucose sensor described herein, when compared to lower accuracy glucose sensors such as minimally invasive CGMs and fingerstick glucose sensors, means that the non-invasive glucose sensor described herein can be used as a standard or reference sensor against which the accuracy of other glucose sensors are gauged. In one embodiment, readings from the non-invasive glucose sensor described herein can be used in place of readings obtained by a YSI glucose analyzer.
- Referring to
FIG. 4 , an example of using the non-invasive glucose sensor described herein as a reference sensor is illustrated.FIG. 4 schematically depicts amethod 50 of using the analyte sensor described herein as a reference or standard glucose sensor against which the accuracy of a minimally invasive glucose sensor, such as a minimally invasive CGM, is determined. At 52, a glucose reading is obtained using the minimally invasive glucose sensor. Contemporaneously, at 54, a reference glucose reading is obtained using the radio/microwave frequency glucose sensor described herein. At 56, the glucose reading from the minimally invasive glucose sensor is compared against the reference glucose reading that is obtained at 54. For example, the comparison could be done in order to determine the MARD value of the minimally invasive glucose sensor as described above. At 58, an accuracy value of the minimally invasive glucose sensor is then determined based on the comparison at 56. - The glucose sensor described herein can be considered continuous in that it operates substantially continuously to obtain multiple glucose readings over an extended period of time. In another embodiment, the glucose sensor described herein can be considered “on-demand” whereby a user initiates a reading or readings.
- The examples disclosed in this application are to be considered in all respects as illustrative and not limitative. The scope of the invention is indicated by the appended claims rather than by the foregoing description; and all changes which come within the meaning and range of equivalency of the claims are intended to be embraced therein.
Claims (6)
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US12059239B2 (en) | 2018-05-08 | 2024-08-13 | Know Labs, Inc. | Electromagnetic shielding in non-invasive analyte sensors |
US20230355140A1 (en) * | 2022-05-05 | 2023-11-09 | Know Labs, Inc. | High performance glucose sensor |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220096750A1 (en) * | 2020-09-30 | 2022-03-31 | Insulet Corporation | Secure wireless communications between a glucose monitor and other devices |
US20220152313A1 (en) * | 2020-11-05 | 2022-05-19 | Dexcom, Inc. | Medicament injection pen for distinguishing between priming pen events and therapeutic pen events |
US20220184311A1 (en) * | 2013-08-27 | 2022-06-16 | David S. Goldsmith | Prosthetic disorder response systems |
US20220192494A1 (en) * | 2020-12-18 | 2022-06-23 | Movano Inc. | Method for generating training data for use in monitoring the blood glucose level of a person that utilizes a pulse wave signal generated from radio frequency scanning |
US20220225939A1 (en) * | 2021-01-21 | 2022-07-21 | Ascensia Diabetes Care Holdings Ag | Wearable continuous analyte measurement devices, biosensor inserters, and methods of use |
US11468787B1 (en) * | 2019-06-12 | 2022-10-11 | Apple Inc. | Diabetic treatment management system |
US20220346707A1 (en) * | 2021-05-03 | 2022-11-03 | Carlo Giovanni Traverso | Handheld Closed-Loop Automatic Insulin Delivery System |
US12165757B2 (en) * | 2007-12-17 | 2024-12-10 | Dexcom, Inc. | Systems and methods for processing sensor data |
Family Cites Families (78)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2396419A1 (en) | 1977-06-27 | 1979-01-26 | Thomson Csf | DIODE CAPABLE OF OPERATING AS EMITTER AND LIGHT DETECTOR OF THE SAME WAVELENGTH ALTERNATIVELY |
US7039446B2 (en) | 2001-01-26 | 2006-05-02 | Sensys Medical, Inc. | Indirect measurement of tissue analytes through tissue properties |
US8974386B2 (en) * | 1998-04-30 | 2015-03-10 | Abbott Diabetes Care Inc. | Analyte monitoring device and methods of use |
MXPA03008047A (en) | 2001-03-06 | 2004-10-15 | Pendragon Medical Ltd | Method and device for determining the concentration of a substance in body liquid. |
WO2003009753A2 (en) | 2001-07-26 | 2003-02-06 | Chad Bouton | Detection of fluids in tissue |
US20040133086A1 (en) | 2002-09-10 | 2004-07-08 | Ciurczak Emil W. | Apparatus and method for non-invasive measurement of blood constituents |
US20060047214A1 (en) * | 2004-08-24 | 2006-03-02 | Jacob Fraden | Wireless medical probe |
US7545272B2 (en) | 2005-02-08 | 2009-06-09 | Therasense, Inc. | RF tag on test strips, test strip vials and boxes |
CA2604653A1 (en) | 2005-04-13 | 2006-10-19 | Glucolight Corporation | Method for data reduction and calibration of an oct-based blood glucose monitor |
EP1949084B1 (en) | 2005-07-06 | 2014-09-10 | Ferlin Medical Ltd | Apparatus and method for measuring constituent concentrations within a biological tissue structure |
CN101466307A (en) | 2006-06-12 | 2009-06-24 | 三菱电机株式会社 | System and method for measuring component concentration |
DE102007032849A1 (en) | 2007-03-16 | 2008-09-18 | Biocomfort Diagnostics Gmbh | Measuring device and method for optical concentration determination of blood sugar and / or lactate in biological systems |
EP2262414A1 (en) | 2008-03-31 | 2010-12-22 | Nellcor Puritan Bennett LLC | Medical monitoring patch device and methods |
EP2326239B1 (en) | 2008-07-03 | 2017-06-21 | Masimo Laboratories, Inc. | Protrusion for improving spectroscopic measurement of blood constituents |
US8630691B2 (en) | 2008-08-04 | 2014-01-14 | Cercacor Laboratories, Inc. | Multi-stream sensor front ends for noninvasive measurement of blood constituents |
WO2010127187A1 (en) | 2009-04-29 | 2010-11-04 | Abbott Diabetes Care Inc. | Method and system for providing data communication in continuous glucose monitoring and management system |
AU2011212903A1 (en) | 2010-02-03 | 2012-08-09 | Covidien Lp | Combined physiological sensor systems and methods |
EP2457507B1 (en) | 2010-11-24 | 2020-01-01 | eesy-innovation GmbH | Arm band with a recording device for recording a blood count parameter |
JP5593473B2 (en) | 2010-12-15 | 2014-09-24 | 株式会社クロスウェル | Autonomic nerve function diagnostic device, biological monitoring system and program |
US9848809B2 (en) * | 2011-04-15 | 2017-12-26 | Dexcom, Inc. | Advanced analyte sensor calibration and error detection |
US12004881B2 (en) | 2012-01-04 | 2024-06-11 | Masimo Corporation | Automated condition screening and detection |
DE102012206008B4 (en) | 2012-04-12 | 2018-04-19 | Siemens Healthcare Gmbh | Reduction of coupling effects between coil elements of a magnetic resonance coil assembly |
PL226423B1 (en) | 2012-12-21 | 2017-07-31 | Bumar Elektronika Spółka Akcyjna | Probe measuring system |
US20140213870A1 (en) | 2013-01-30 | 2014-07-31 | Lungwha University Of Science And Technology | Non-Invasive Blood glucose Sensor |
US9662050B2 (en) | 2013-06-21 | 2017-05-30 | Verify Life Sciences LLC | Physiological measurement using wearable device |
US10335596B2 (en) | 2014-03-14 | 2019-07-02 | Nalu Medical, Inc. | Method and apparatus for neuromodulation treatments of pain and other conditions |
US11229383B2 (en) | 2014-08-25 | 2022-01-25 | California Institute Of Technology | Methods and systems for non-invasive measurement of blood glucose concentration by transmission of millimeter waves through human skin |
KR101656611B1 (en) | 2014-12-31 | 2016-09-09 | 서울대학교산학협력단 | Method for obtaining oxygen desaturation index using unconstrained measurement of bio-signals |
US10328202B2 (en) | 2015-02-04 | 2019-06-25 | Covidien Lp | Methods and systems for determining fluid administration |
EP3253441B1 (en) | 2015-02-06 | 2020-08-19 | Nalu Medical, Inc. | Medical apparatus including an implantable system and an external system |
US20170086676A1 (en) | 2015-09-24 | 2017-03-30 | Johnson & Johnson Vision Care, Inc. | Quantum-dot spectrometers for use in biomedical devices and methods of use |
US10478101B1 (en) | 2015-10-05 | 2019-11-19 | University Of South Florida | Continuous glucose monitoring based on remote sensing of variations of parameters of a SiC implanted antenna |
EP3389492B1 (en) | 2015-12-24 | 2021-07-21 | Sensorflo Limited | A non-invasive sensing system |
GB201602773D0 (en) | 2016-02-17 | 2016-03-30 | Orsus Medical Ltd | A method and apparatus for measuring the concentration of target substances in blood |
CN108778115A (en) | 2016-03-23 | 2018-11-09 | 耶路撒冷希伯来大学伊森姆研究发展有限公司 | The system and method for non-invasive monitoring for condition of blood |
JP7061996B6 (en) | 2016-08-09 | 2022-06-06 | コーニンクレッカ フィリップス エヌ ヴェ | Device for use in blood oxygen saturation measurement |
WO2018156648A1 (en) | 2017-02-24 | 2018-08-30 | Masimo Corporation | Managing dynamic licenses for physiological parameters in a patient monitoring environment |
US10258268B2 (en) | 2017-04-25 | 2019-04-16 | Trustees Of Boston University | High-speed tissue oximetry system employing fast digital diffuse optical spectroscopy |
CN111432724B (en) | 2017-10-05 | 2024-11-12 | 美国贝鲁特大学 | Non-invasive biomarker and tracer monitoring device using adaptive radiofrequency circuits |
CN112367908A (en) | 2018-05-08 | 2021-02-12 | 知识实验室股份有限公司 | Health related diagnosis using radio/microwave frequency band spectroscopy |
US11903689B2 (en) | 2019-12-20 | 2024-02-20 | Know Labs, Inc. | Non-invasive analyte sensor device |
US11134860B2 (en) * | 2018-06-26 | 2021-10-05 | American University Of Beirut | Antenna design for biomarker monitoring and methods of use |
US11448774B2 (en) | 2018-08-16 | 2022-09-20 | Movano Inc. | Bayesian geolocation and parameter estimation by retaining channel and state information |
WO2020037171A1 (en) | 2018-08-16 | 2020-02-20 | Movano Inc. | Calibration, classification and localization using channel templates |
US11389093B2 (en) | 2018-10-11 | 2022-07-19 | Masimo Corporation | Low noise oximetry cable |
US11540773B2 (en) | 2018-12-18 | 2023-01-03 | Movano Inc. | Methods for radio wave based health monitoring that involve engaging alignment features of a health monitoring device and an alignment element |
US11986278B2 (en) | 2018-12-18 | 2024-05-21 | Movano Inc. | Systems for health monitoring using radio waves that include signal isolation |
US20200191932A1 (en) | 2018-12-18 | 2020-06-18 | Movano Inc. | Stepped frequency radar systems with multiple rf units |
US11576586B2 (en) | 2018-12-18 | 2023-02-14 | Movano Inc. | Methods for radio wave based health monitoring that utilize data derived from amplitude and/or phase data |
EP3930575A4 (en) * | 2019-02-28 | 2022-11-16 | American University Of Beirut | BIOMARKER MONITORING SENSOR AND METHODS OF USE |
US11291374B2 (en) | 2019-04-10 | 2022-04-05 | Samsung Electronics Co., Ltd. | Apparatus and method for estimating bio-information |
US11367525B2 (en) | 2019-12-20 | 2022-06-21 | Covidien Lp | Calibration for continuous non-invasive blood pressure monitoring using artificial intelligence |
US11058317B1 (en) | 2019-12-20 | 2021-07-13 | Know Labs, Inc. | Non-invasive detection of an analyte using decoupled and inefficient transmit and receive antennas |
US11234619B2 (en) | 2019-12-20 | 2022-02-01 | Know Labs, Inc. | Non-invasive detection of an analyte using decoupled transmit and receive antennas |
US11063373B1 (en) | 2019-12-20 | 2021-07-13 | Know Labs, Inc. | Non-invasive analyte sensor and system with decoupled transmit and receive antennas |
US11031970B1 (en) | 2019-12-20 | 2021-06-08 | Know Labs, Inc. | Non-invasive analyte sensor and system with decoupled and inefficient transmit and receive antennas |
US11244753B2 (en) | 2020-01-30 | 2022-02-08 | Medtronic Minimed, Inc. | Activity monitoring systems and methods |
US11193923B2 (en) | 2020-02-06 | 2021-12-07 | Know Labs, Inc. | Detection of an analyte using multiple elements that can transmit or receive |
US11330997B2 (en) | 2020-02-06 | 2022-05-17 | Know Labs, Inc. | Detection of an analyte using different combinations of detector elements that can transmit or receive |
US11058331B1 (en) | 2020-02-06 | 2021-07-13 | Know Labs, Inc. | Analyte sensor and system with multiple detector elements that can transmit or receive |
US12023151B2 (en) | 2020-02-20 | 2024-07-02 | Know Labs, Inc. | Non-invasive analyte sensing and notification system with decoupled transmit and receive antennas |
US11832926B2 (en) | 2020-02-20 | 2023-12-05 | Know Labs, Inc. | Non-invasive detection of an analyte and notification of results |
US12089927B2 (en) | 2020-02-20 | 2024-09-17 | Know Labs, Inc. | Non-invasive analyte sensing and notification system with decoupled and inefficient transmit and receive antennas |
US20230148889A1 (en) | 2020-04-01 | 2023-05-18 | Koninklijke Philips N.V. | Controller and method for inductive sensing |
CN116195002A (en) | 2020-07-20 | 2023-05-30 | 皇家飞利浦有限公司 | Sleep disturbance prediction system and method based on sleep reaction monitoring |
WO2022026623A1 (en) | 2020-07-29 | 2022-02-03 | Cornell University | Systems and methods for monitoring respiration of an individual |
US12007338B2 (en) | 2020-09-09 | 2024-06-11 | Know Labs Inc. | In vitro sensor for analyzing in vitro flowing fluids |
US11764488B2 (en) | 2020-09-09 | 2023-09-19 | Know Labs, Inc. | Methods for determining variability of a state of a medium |
US11689274B2 (en) | 2020-09-09 | 2023-06-27 | Know Labs, Inc. | Systems for determining variability in a state of a medium |
US11389091B2 (en) | 2020-09-09 | 2022-07-19 | Know Labs, Inc. | Methods for automated response to detection of an analyte using a non-invasive analyte sensor |
US20220071505A1 (en) | 2020-09-09 | 2022-03-10 | Know Labs, Inc. | Interchangeable sensor and method |
US20220071527A1 (en) | 2020-09-09 | 2022-03-10 | Know Labs, Inc. | Interchangeable sensor and system |
US11510597B2 (en) | 2020-09-09 | 2022-11-29 | Know Labs, Inc. | Non-invasive analyte sensor and automated response system |
US12019034B2 (en) | 2020-09-09 | 2024-06-25 | Know Labs, Inc. | In vitro sensing methods for analyzing in vitro flowing fluids |
KR20220046168A (en) | 2020-10-07 | 2022-04-14 | 삼성전자주식회사 | Apparatus and method for estimating analyte concentration, apparatus for measuring signal |
US20220192531A1 (en) | 2020-12-18 | 2022-06-23 | Movano Inc. | Method for monitoring a health parameter of a person that utilizes machine learning and a pulse wave signal generated from radio frequency scanning |
US11033208B1 (en) | 2021-02-05 | 2021-06-15 | Know Labs, Inc. | Fixed operation time frequency sweeps for an analyte sensor |
US20230355140A1 (en) * | 2022-05-05 | 2023-11-09 | Know Labs, Inc. | High performance glucose sensor |
-
2022
- 2022-05-05 US US17/662,102 patent/US20230355140A1/en active Pending
- 2022-05-20 US US17/664,322 patent/US11529077B1/en active Active
-
2023
- 2023-05-02 WO PCT/IB2023/054567 patent/WO2023214311A1/en unknown
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US12165757B2 (en) * | 2007-12-17 | 2024-12-10 | Dexcom, Inc. | Systems and methods for processing sensor data |
US20220184311A1 (en) * | 2013-08-27 | 2022-06-16 | David S. Goldsmith | Prosthetic disorder response systems |
US11468787B1 (en) * | 2019-06-12 | 2022-10-11 | Apple Inc. | Diabetic treatment management system |
US20220096750A1 (en) * | 2020-09-30 | 2022-03-31 | Insulet Corporation | Secure wireless communications between a glucose monitor and other devices |
US20220152313A1 (en) * | 2020-11-05 | 2022-05-19 | Dexcom, Inc. | Medicament injection pen for distinguishing between priming pen events and therapeutic pen events |
US20220192494A1 (en) * | 2020-12-18 | 2022-06-23 | Movano Inc. | Method for generating training data for use in monitoring the blood glucose level of a person that utilizes a pulse wave signal generated from radio frequency scanning |
US20220225939A1 (en) * | 2021-01-21 | 2022-07-21 | Ascensia Diabetes Care Holdings Ag | Wearable continuous analyte measurement devices, biosensor inserters, and methods of use |
US20220346707A1 (en) * | 2021-05-03 | 2022-11-03 | Carlo Giovanni Traverso | Handheld Closed-Loop Automatic Insulin Delivery System |
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