KR102614542B1 - Circadian rhythm analysis device and operation method thereof - Google Patents

Abstract

A circadian rhythm analysis device and method are disclosed. A circadian rhythm analysis device according to one aspect of the technical idea of the present disclosure includes a transceiver configured to receive a circadian illuminance value and a phase of the circadian rhythm based on the circadian illuminance value. ) Calculate a first circadian rhythm index corresponding to an indicator indicating the degree of shift of ), and a second circadian rhythm index corresponding to an indicator indicating the degree of inhibition of melatonin secretion based on the circadian illuminance value. It may include at least one processor configured to calculate . The first circadian rhythm index and the second circadian rhythm index are indicators indicating the influence of the circadian illuminance on the circadian rhythm, and the weight at a specific time and the circadian illuminance value at a specific time It is characterized by being calculated by an integral equation using .

Description

Circadian rhythm analysis device and method of operation thereof {CIRCADIAN RHYTHM ANALYSIS DEVICE AND OPERATION METHOD THEREOF}

The technical idea of the present disclosure relates to a circadian rhythm analysis device and a method of operating the same, specifically, a circadian rhythm analysis device including a transceiver and a processor that monitors and quantitatively analyzes changes in the circadian rhythm, and It's about how it works.

It is regulated by the bio-clock within the human body, and changes that repeat every 24 hours a day are called circadian rhythms (also referred to as “circadian rhythms” or “circadian rhythms”). This circadian rhythm is most influenced by light. In other words, humans who have survived in the changing light environment of day and night for 24 hours a day have a corresponding circadian rhythm.

If humans are exposed to only natural light over a 24-hour period, the circadian rhythm will follow normal. However, if humans are exposed to artificial light in the evening, the secretion of melatonin is suppressed and the circadian rhythm may deviate from normal, interfering with sound sleep.

In other words, according to recent bio and medical research groups, it has been reported that light emitted by artificial lighting has a significant impact on human circadian rhythm. In particular, circadian rhythms are most affected by blue light with a wavelength of about 450 nm to about 470 nm because blue light at that wavelength inhibits melatonin distribution in humans.

Here, melatonin is a biological compound with antioxidant and anticancer properties. When the secretion amount of melatonin increases, the human biological clock judges it to be night, and conversely, when the secretion amount of melatonin decreases, the human biological clock judges it to be day.

Health-related problems that occur in individuals due to disturbances in the circadian rhythm include, for example, seasonal affective disorder, sleep disorders, depression, jet lag, and health diseases related to shift work. In order to treat this disease, the circadian rhythm must be well balanced by suppressing melatonin secretion in the appropriate morning time and facilitating the secretion of melatonin in the appropriate evening time.

Meanwhile, a typical illuminance measuring device measures the illuminance (Lux) of external light using a visual lambda filter (V-λ Filter) that follows the optical sensitivity characteristic curve for the human eye, that is, the visual sensitivity curve. Here, illuminance (Lux) refers to the intensity of light that can be perceived by the human eye, and is also called visual illuminance (Lux) to distinguish it from circadian illuminance (also referred to as “bio illuminance” or “non-visual illuminance”). refers to

According to this visual sensitivity curve, maximum sensitivity is achieved in light having a wavelength range of approximately 380 nm to 780 nm. However, the visual illuminance measured by a typical illuminance measurement device that follows a visual sensitivity curve may be different from the circadian illuminance, which affects the human circadian rhythm. In other words, circadian illuminance can be referred to as the intensity of light (i.e., the number of photons) in the wavelength range that affects the circadian rhythm among light components.

A typical illuminance meter does not provide quantitative information on how much external light affects the circadian rhythm, but rather measures the intensity of light related to visual illuminance.

In contrast, if information related to the circadian rhythm of users who are exposed to different light environments every day is provided, it could contribute to improving the health of the users. Therefore, research is needed on technologies that can monitor, predict, and analyze circadian rhythm in a customized way.

The above content simply provides background information on the present invention and does not correspond to previously disclosed technology.

Korean Patent No. 1829667 (illumination control device)

The problem that the technical idea of the present disclosure seeks to solve is to detect changes in the user's circadian rhythm in real time by using the circadian illuminance value measured by detecting light in the wavelength range that affects the circadian rhythm among light components. The goal is to provide monitoring and analysis technology.

In addition, the problem to be solved by the technical idea of the present disclosure is to provide an indicator indicating the degree of shift of the phase of the circadian rhythm based on the circadian illuminance value and an indicator indicating the degree of inhibition of melatonin secretion. The goal is to provide technology to calculate and analyze circadian rhythm indices.

In order to achieve the above object, a circadian rhythm analysis device according to one aspect of the technical idea of the present disclosure includes a transceiver configured to receive a circadian illuminance value and a circadian illuminance value based on the circadian illuminance value. Calculate the first circadian rhythm index corresponding to the index indicating the degree of shift of the phase of the circadian rhythm, and calculate the index indicating the degree of inhibition of melatonin secretion based on the circadian illuminance value. It may include at least one processor configured to calculate a corresponding second circadian rhythm index. The first circadian rhythm index and the second circadian rhythm index are indicators indicating the influence of the circadian illuminance on the circadian rhythm, and the weight at a specific time and the circadian illuminance value at a specific time It is characterized by being calculated by an integral equation using .

A method performed by a circadian rhythm index analysis device according to an aspect of the technical idea of the present disclosure includes receiving a circadian illuminance value, and circadian rhythm based on the circadian illuminance value. Calculating a first circadian rhythm index corresponding to an indicator indicating the degree of shift of the phase and a second indicator indicating the degree of inhibition of melatonin secretion based on the circadian illuminance value It may include calculating a circadian rhythm index. The first circadian rhythm index and the second circadian rhythm index are indicators indicating the influence of the circadian illuminance on the circadian rhythm, and the weight at a specific time and the circadian illuminance value at a specific time It is characterized by being calculated by an integral equation using .

According to the circadian rhythm analysis device and operating method of the technical idea of the present disclosure, the circadian illuminance value detected and measured by the circadian illuminance measuring device is used to detect circadian illuminance that affects the user in a 24-hour cycle. It has the effect of quantitatively predicting and analyzing changes in rhythm.

According to the circadian rhythm analysis device and operating method of the technical idea of the present disclosure, an indicator indicating the degree of shift of the phase of the circadian rhythm based on the circadian illuminance value and the degree of inhibition of melatonin secretion By calculating the index representing , there is the effect of quantitatively calculating the index representing the influence of circadian illuminance on circadian rhythm.

In addition, according to the circadian rhythm analysis device and operating method of the technical idea of the present disclosure, the indicator indicating the effect of circadian illuminance on circadian rhythm is converted into a sleep disturbance index or light pollution index that is easy for the general public to understand. There is an effect that can be converted and provided.

In addition, according to the circadian rhythm analysis device and operating method of the technical idea of the present disclosure, different circadian rhythms of users are monitored and analyzed in real time in a 24-hour cycle, and various indicators of circadian rhythm are provided. This has the effect of providing a useful guide to individual healthcare for each scenario.

The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below. will be.

FIG. 1 is a block diagram illustrating an electronic device 101 in a network environment according to various embodiments of the present disclosure.
Figure 2 is a block diagram schematically showing a circadian rhythm analysis system 200 according to an embodiment of the present disclosure.
Figure 3 is a graph showing a circadian rhythm sensitivity curve and a visual sensitivity curve.
Figure 4 is a schematic block diagram of the circadian illuminance measuring device 400.
Figure 5 is a schematic block diagram of the circadian rhythm analysis device 500.
Figure 6 is a conceptual diagram of a model used in the first algorithm and the second algorithm according to an embodiment of the present disclosure.
Figure 7 is a graph showing lens transmittance according to wavelength for each user's age according to an embodiment of the present disclosure.
Figure 8 is a graph showing the ratio of lens transmittance compared to 32 years old according to wavelength for each user's age according to an embodiment of the present disclosure.
Figure 15 is a flow chart showing a method of analyzing the circadian rhythm index of the circadian rhythm analysis device according to an embodiment of the present disclosure.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

FIG. 1 is a block diagram showing an electronic device 101 in a network environment according to various embodiments of the present disclosure.

Referring to FIG. 1, in the network environment 100, the electronic device 101 communicates with the electronic device 102 through a first network 198 (e.g., a short-range wireless communication network) or a second network 199. It is possible to communicate with the electronic device 104 or the server 108 through (e.g., a long-distance wireless communication network). According to one embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108. According to one embodiment, the electronic device 101 includes a processor 120, a memory 130, an input module 150, an audio output module 155, a display module 160, an audio module 170, and a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or may include an antenna module 197. In some embodiments, at least one of these components (eg, the connection terminal 178) may be omitted, or one or more other components may be added to the electronic device 101. In some embodiments, some of these components (e.g., sensor module 176, camera module 180, or antenna module 197) are integrated into one component (e.g., display module 160). It can be.

Processor 120 may, for example, execute software (e.g., program 140) to execute at least one other component (e.g., hardware component or software component) of electronic device 101 connected to processor 120. ) can be controlled and various data processing or operations can be performed. According to one embodiment, as at least part of data processing or computation, processor 120 stores commands or data received from another component (e.g., sensor module 176 or communication module 190) in volatile memory 132. The commands or data stored in the volatile memory 132 can be processed, and the resulting data can be stored in the non-volatile memory 134. According to one embodiment, the processor 120 may include a main processor 121 (e.g., a central processing unit or an application processor), or an auxiliary processor 123 (e.g., a graphics processing unit, a neural network processing unit) that can operate independently or together with the main processor 121. (NPU: neural processing unit), image signal processor, sensor hub processor, or communication processor). For example, if the electronic device 101 includes a main processor 121 and an auxiliary processor 123, the auxiliary processor 123 may use less power than the main processor 121 or be specialized for a designated function. can be set. The auxiliary processor 123 may be implemented separately from the main processor 121 or as part of it.

The auxiliary processor 123 may, for example, act on behalf of the main processor 121 while the main processor 121 is in an inactive (e.g., sleep or idle) state, or while the main processor 121 is in an active (e.g., sleep or idle) state. While in the application execution) state, at least one of the components of the electronic device 101 (e.g., the display module 160, the sensor module 176, or the communication module 190) is used together with the main processor 121. )) can control at least some of the functions or states related to it. According to one embodiment, co-processor 123 (e.g., image signal processor or communication processor) may be implemented as part of another functionally related component (e.g., camera module 180 or communication module 190). there is. According to one embodiment, the auxiliary processor 123 (e.g., neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. Artificial intelligence models can be created through machine learning. For example, such learning may be performed in the electronic device 101 itself, where artificial intelligence is performed, or may be performed through a separate server (e.g., server 108). Learning algorithms may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but It is not limited. An artificial intelligence model may include multiple artificial neural network layers. Artificial neural networks include deep neural network (DNN), convolutional neural network (CNN), recurrent neural network (RNN), restricted boltzmann machine (RBM), belief deep network (DBN), bidirectional recurrent deep neural network (BRDNN), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the examples described above. In addition to hardware structures, artificial intelligence models may additionally or alternatively include software structures.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101. Data may include, for example, input data or output data for software (e.g., program 140) and instructions related thereto. Memory 130 may include volatile memory 132 or non-volatile memory 134.

The program 140 may be stored as software in the memory 130 and may include, for example, an operating system 142, middleware 144, or application 146.

The input module 150 may receive commands or data to be used in a component of the electronic device 101 (e.g., the processor 120) from outside the electronic device 101 (e.g., a user). The input module 150 may include, for example, a microphone, mouse, keyboard, keys (eg, buttons), or digital pen (eg, stylus pen).

The input module 150 may receive commands or data to be used in a component of the electronic device 101 (e.g., the processor 120) from outside the electronic device 101 (e.g., a user). The input module 150 may include, for example, a microphone, mouse, keyboard, keys (eg, buttons), or digital pen (eg, stylus pen).

The sound output module 155 may output sound signals to the outside of the electronic device 101. The sound output module 155 may include, for example, a speaker or a receiver. Speakers can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.

The display module 160 can visually provide information to the outside of the electronic device 101 (eg, a user). The display module 160 may include, for example, a display, a hologram device, or a projector, and a control circuit for controlling the device. According to one embodiment, the display module 160 may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of force generated by the touch.

The audio module 170 can convert sound into an electrical signal or, conversely, convert an electrical signal into sound. According to one embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device (e.g., directly or wirelessly connected to the electronic device 101). Sound may be output through an electronic device 102 (e.g., speaker or headphone).

The sensor module 176 detects the operating state (e.g., power or temperature) of the electronic device 101 or the external environmental state (e.g., user state) and generates an electrical signal or data value corresponding to the detected state. can do. According to one embodiment, the sensor module 176 includes, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor and a humidity sensor. According to one embodiment, the sensor module 176 may include an illuminance sensor that measures visual illuminance or a circadian illuminance measurement sensor that measures circadian illuminance.

The interface 177 may support one or more designated protocols that can be used to connect the electronic device 101 directly or wirelessly with an external electronic device (eg, the electronic device 102). According to one embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, an audio interface, and an Inter-Integrated Circuit (I²C) interface. You can.

The connection terminal 178 may include a connector through which the electronic device 101 can be physically connected to an external electronic device (eg, the electronic device 102). According to one embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 can convert electrical signals into mechanical stimulation (e.g., vibration or movement) or electrical stimulation that the user can perceive through tactile or kinesthetic senses. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 can capture still images and moving images. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 can manage power supplied to the electronic device 101. According to one embodiment, the power management module 188 may be implemented as at least a part of, for example, a power management integrated circuit (PMIC).

The battery 189 may supply power to at least one component of the electronic device 101. According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

The communication module 190 provides a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (e.g., the electronic device 102, the electronic device 104, or the server 108). It can support establishment and communication through established communication channels. Communication module 190 operates independently of processor 120 (e.g., an application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (e.g., : LAN (local area network) communication module, or power line communication module) may be included. Among these communication modules, the corresponding communication module is a first network 198 (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (e.g., legacy It can communicate with external electronic devices through telecommunication networks such as cellular networks, 5G networks, next-generation communication networks, the Internet, or computer networks (e.g., LAN or WAN). These various types of communication modules may be integrated into one component (e.g., a single chip) or may be implemented as a plurality of separate components (e.g., multiple chips). The wireless communication module 192 uses subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 to communicate within a communication network such as the first network 198 or the second network 199. The electronic device 101 can be confirmed or authenticated.

The wireless communication module 192 may support 5G networks after 4G networks and next-generation communication technologies, for example, NR access technology (new radio access technology). NR access technologies include high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimizing terminal power and connecting multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and can support low-latency communications). The wireless communication module 192 may support high frequency bands (eg, mmWave bands), for example, to achieve high data rates. The wireless communication module 192 uses various technologies to secure performance in high frequency bands, for example, beamforming, massive array multiple-input and multiple-output (MIMO), and full-dimensional multiplexing. It can support technologies such as input/output (FD-MIMO: full dimensional MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module 192 may support various requirements specified in the electronic device 101, an external electronic device (e.g., electronic device 104), or a network system (e.g., second network 199). According to one embodiment, the wireless communication module 192 supports peak data rate (e.g., 20 Gbps or more) for realizing eMBB, loss coverage (e.g., 164 dB or less) for realizing mmTC, or U-plane latency (e.g., 164 dB or less) for realizing URLLC. Example: Downlink (DL) and uplink (UL) each of 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 197 may transmit or receive signals or power to or from the outside (eg, an external electronic device). According to one embodiment, the antenna module may include an antenna including a radiator made of a conductor or a conductive pattern formed on a substrate (eg, PCB). According to one embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for the communication method used in the communication network, such as the first network 198 or the second network 199, is connected to the plurality of antennas by, for example, the communication module 190. can be selected. Signals or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, in addition to the radiator, other components (eg, radio frequency integrated circuit (RFIC)) may be additionally formed as part of the antenna module 197.

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, a mmWave antenna module includes a printed circuit board, an RFIC disposed on or adjacent to a first side (e.g., bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., mmWave band), And a plurality of antennas (e.g., array antennas) disposed on or adjacent to the second side (e.g., top or side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (e.g., bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and signal (e.g. commands or data) can be exchanged with each other.

According to one embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199. Each of the external electronic devices 102 or 104 may be of the same or different type as the electronic device 101. According to one embodiment, all or part of the operations performed in the electronic device 101 may be executed in one or more of the external electronic devices 102, 104, or 108. For example, when the electronic device 101 needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device 101 may perform the function or service instead of executing the function or service on its own. Alternatively, or additionally, one or more external electronic devices may be requested to perform at least part of the function or service. One or more external electronic devices that have received the request may execute at least part of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device 101. The electronic device 101 may process the result as is or additionally and provide it as at least part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology can be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an Internet of Things (IoT) device. Server 108 may be an intelligent server using machine learning and/or neural networks. According to one embodiment, the external electronic device 104 or server 108 may be included in the second network 199. The electronic device 101 may be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

Electronic devices according to various embodiments disclosed in this document may be of various types. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices (e.g., smart glasses), or home appliances. Electronic devices according to embodiments of the present specification are not limited to the above-mentioned devices.

The various embodiments of this document and the terms used herein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various changes, equivalents, or replacements of the embodiments. In connection with the description of the drawings, similar reference numbers may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the above items, unless the relevant context clearly indicates otherwise. As used herein, “A or B”, “at least one of A and B”, “at least one of A or B”, “A, B or C”, “at least one of A, B and C”, and “A Each of phrases such as “at least one of , B, or C” may include any one of the items listed together in the corresponding phrase, or any possible combination thereof. Terms such as "first", "second", or "first" or "second" may be used simply to distinguish one element from another, and may be used to distinguish such elements in other respects, such as importance or order) is not limited. One (e.g., first) component is said to be “coupled” or “connected” to another (e.g., second) component, with or without the terms “functionally” or “communicatively.” Where mentioned, it means that any of the components can be connected to the other components directly (e.g. wired), wirelessly, or through a third component.

The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as logic, logic block, component, or circuit, for example. It can be used as A module may be an integrated part or a minimum unit of the parts or a part thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

According to various embodiments, each component (e.g., module or program) of the above-described components may include a single or plural entity, and some of the plurality of entities may be separately placed in other components. . According to various embodiments, one or more of the components or operations described above may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (eg, modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each component of the plurality of components in the same or similar manner as those performed by the corresponding component of the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order. , may be omitted, or one or more other operations may be added.

Hereinafter, the term "circadian rhythm (or illuminance)" refers to "circadian rhythm (or illuminance)", "circadian rhythm (or illuminance)", "circadian rhythm (or illuminance)", or "biorhythm (or illuminance)". It may be referred to by the term “or illuminance)”.

Figure 2 is a block diagram schematically showing a circadian rhythm analysis system 200 according to an embodiment of the present disclosure.

The circadian rhythm analysis system 200 according to an embodiment of the present disclosure is a system for deriving the circadian rhythm index from the external light environment exposed to the user, and includes the circadian illuminance measurement device 202 and the circadian rhythm index. It may include a rhythm analysis device 201. In another embodiment, the circadian illuminance measurement device 202 and the circadian rhythm analysis device 201 may be integrated into one component (e.g., a circadian illuminance measurement and circadian rhythm analysis device). .

Referring to FIGS. 1 and 2, the circadian illuminance measuring device 202 (FIG. 2) can be applied to the electronic device 102 (FIG. 1) of FIG. 1, and the circadian rhythm analysis device 201 (FIG. 2) Can be applied to the electronic device 101 (FIG. 1) of FIG. 1. According to one embodiment, the circadian rhythm analysis device 201 (FIG. 2) may communicate with the circadian illuminance measurement device 202 (FIG. 2) through the first network 198 (FIG. 1).

In one embodiment, the circadian illuminance measuring device 202 may detect external light. The circadian illuminance measuring device 202 can measure circadian illuminance.

In one embodiment, the circadian rhythm analysis device 201 may receive a circadian illuminance value from the circadian illuminance measurement device 202. The circadian rhythm analysis device 201 can calculate CPS (Circadian Phase Shift), which is an indicator indicating the degree of shift in the phase of the circadian rhythm, based on the received circadian illuminance value. there is. The circadian rhythm analysis device 201 may calculate a melatonin suppression response (MSR), which is an indicator indicating the degree of suppression of melatonin secretion, based on the received circadian illuminance value. CPS may be referred to as the first circadian rhythm index, and MSR may be referred to as the second circadian rhythm index. The first circadian rhythm index and the second circadian rhythm index correspond to indicators indicating the effect of circadian illuminance on circadian rhythm. Details about CPS and MSR are described later in FIG. 5 and below.

Figure 3 is a graph showing a circadian sensitivity curve and a visual sensitivity curve.

The circadian sensitivity curve (C(λ)) is a light sensitivity characteristic curve for hormones (e.g. melatonin or cortisol) that control the circadian rhythm in humans and can be defined as the curve with maximum sensitivity in the circadian wavelength band. You can. As an example, the circadian wavelength band may be 400 nm to 600 nm. According to the circadian sensitivity curve, maximum sensitivity can be achieved in light with a circadian wavelength band.

As an example, a circadian wavelength filter that follows the circadian sensitivity curve may operate as a band-pass filter that passes external light having a wavelength in the circadian wavelength band and blocks external light having a wavelength other than the circadian wavelength band. . The circadian wavelength filter transmits light components having a circadian wavelength band, and may have maximum transmittance in the circadian wavelength band, for example, at a wavelength of 490 nm.

The visual sensitivity curve (V(λ)) is a light sensitivity characteristic curve for the human eye and can be defined as a curve with maximum sensitivity in the visual wavelength band. As an example, the visual wavelength band may be 380 nm to 780 nm. According to the visual sensitivity curve, maximum sensitivity can be achieved in light having a visual wavelength band.

As an example, a visual wavelength filter that follows the visual sensitivity curve may operate as a band-pass filter that passes external light having a wavelength in the visual wavelength band and blocks external light having a wavelength other than the visual wavelength band.

Figure 4 is a schematic block diagram of the circadian illuminance measuring device 400.

Referring to FIGS. 2 and 4 , the circadian illuminance measuring device 400 of FIG. 4 may be applied to the circadian illuminance measuring device 202 of FIG. 2 .

In one embodiment, the circadian illuminance measuring device 400 is a C(λ) (or circadian wavelength) filter (Circadian Lambda Filter; C(λ) that passes or blocks external light according to the circadian rhythm sensitivity curve. ) Filter) 401 and a V(λ) (or visual wavelength) filter (Visual Lambda Filter; V(λ) Filter) 402 that passes or blocks external light according to the visual sensitivity curve. . The circadian illuminance measuring device 400 detects the external light that has passed through the circadian wavelength filter 401 and converts it into a circadian wavelength signal, and detects the external light that has passed through the visual wavelength filter 402 and converts it into a visual wavelength signal. The light detection unit 403 converts the signal into a signal, calculates the ratio of the circadian wavelength signal and the visual wavelength signal, and applies the ratio of the circadian wavelength signal and the visual wavelength signal to the circadian action function that varies depending on the visual wavelength signal. It may include an illuminance calculation unit 404 that calculates a circadian operation coefficient and calculates a bio-illuminance value of external light based on the circadian operation coefficient. Circadian Action Factor (CAF) can be defined as the ratio of Circadian Efficacy of Radiation (CER) to Luminous Efficacy of Radiation (LER) as a function of the color temperature of external light. there is. The circadian action coefficient can be defined as a value proportional to the ratio of the circadian wave signal and the visual wave signal.

In another embodiment, the circadian illuminance measuring device 400 detects external light that has passed through a C(λ) filter 401 and a circadian wavelength filter that passes external light according to a circadian rhythm sensitivity curve. It may include a light detection unit 403 that converts and outputs an analog signal (e.g., a voltage value), and a circadian illuminance calculation unit 404 that converts the analog signal into a digital signal and calculates the circadian illuminance of external light. You can. The circadian illuminance measurement device 202 passes light having a circadian wavelength band in which light sensitivity characteristics for hormones that control the circadian rhythm have maximum sensitivity, for example, a wavelength band of about 450 nm to 550 nm, and others. Circadian illuminance can be measured by blocking light with a wavelength range of .

In the case of cool white LED lighting and warm white LED lighting, which are equally measured at 500lx by a general visual illuminance measuring device (e.g., illuminance meter), the measurement is made by the circadian illuminance measuring device 400 according to an embodiment of the present disclosure. When this happens, different circadian illuminance values can be measured. For example, cool white LED lighting with a visual illuminance value of 500lx may be measured by the circadian illuminance measurement device 400 to have a CAF of 0.77 and a circadian illuminance of 385 biolux. For example, warm white LED lighting with a visual illuminance value of 500 lx may be measured by the circadian illuminance measurement device 400 to have a CAF of 0.37 and a circadian illuminance of 185 biolux. biolux may be defined as a unit of circadian illuminance value that can be used in the circadian rhythm measurement device according to an embodiment of the present disclosure.

In addition, the method for measuring circadian illuminance can be used in various ways, and the above-described examples of methods for measuring circadian illuminance are merely examples, and the technical content of the present disclosure is not limited thereto.

In order to more accurately measure the circadian illuminance in an external light environment exposed to the user, the circadian illuminance measuring device 400 may be employed directly by the user or installed around the user. In other words, the circadian illuminance measuring device 400 is a wearable device that is attached to a part of the user's body or installed on a fashion item worn by the user (e.g., clothing, shoes, hats, bags, hair bands, belts, or glasses, etc.) It can be implemented as a device. In this case, the circadian illuminance measuring device 400 may be manufactured in the form of a clip or badge so that it can be easily fastened to a fashion product. The circadian illuminance measuring device 400 may be referred to as a bio illuminance meter or a circadian illuminance meter.

Figure 5 is a schematic block diagram of the circadian rhythm analysis device 500.

Referring to FIGS. 1, 2, and 5, the circadian rhythm analysis device 500 of FIG. 5 may be applied to the electronic device 101 of FIG. 1 or the circadian rhythm analysis device 201 of FIG. 2. .

The circadian rhythm analysis device 500 may include a transceiver 501, a processor 502, or a memory 503. This is only an example, and the technical content of the present disclosure is not limited thereto. In other embodiments, the circadian rhythm analysis device 500 may additionally or alternatively include other components.

The transceiver 501 may receive the circadian illuminance value (Cir_lx) from the outside. The transceiver 501 can receive the visual illuminance value (Vis_lx) from the outside. 4 and 5, as an example, the transceiver 501 may receive a circadian illuminance value (Cir_lx) and/or a visual illuminance value (Vis_lx) from the circadian illuminance measurement device 400 (FIG. 4). You can.

The transceiver 501 may receive timing values related to light irradiation from the outside. Referring to FIGS. 4 and 5 , as an example, the transceiver 501 may receive a timing value related to light irradiation from the circadian illuminance measuring device 400 (FIG. 4).

The transceiver 501 can transmit the circadian rhythm index (Cir) to the outside. The circadian rhythm index can be defined as an indicator showing the effect of circadian illuminance on circadian rhythm. The circadian rhythm index (Cir) may include a first circadian rhythm index (Cir_idx_1) and/or a second circadian rhythm index (Cir_idx_2). The first circadian rhythm index (Cir_idx_1) may be referred to as CPS (Circadian Phase Shift), which is an indicator indicating the degree of shift of the phase of the circadian rhythm. The second circadian rhythm index (Cir_idx_2) may be referred to as MSR (melatonin Suppression Response), which is an indicator indicating the degree of suppression of melatonin secretion.

Referring to FIGS. 1 and 5 , as an example, the transceiver 501 transmits a first circadian rhythm index (Cir_idx_1) and/or a second circadian rhythm index (Cir_idx_2) to the electronic device 102 (FIG. 1). Can be sent. The first circadian rhythm index (Cir_idx_1) can be defined as an indicator indicating the degree of shift of the phase of the circadian rhythm. The second circadian rhythm index (Cir_idx_2) can be defined as an indicator indicating the degree of inhibition of melatonin secretion. The first circadian rhythm index (Cir_idx_1) may be referred to as CPS (Circadian Phase Shift). The second circadian rhythm index (Cir_idx_2) may be referred to as melatonin suppression response (MSR).

The processor 502 may control at least one other component of the circadian rhythm analysis device 500. As an example, the processor 502 may control the operation of the transceiver 501 or the memory 503.

The processor 502 may perform processing or calculation of the first circadian rhythm index or the second circadian rhythm index based on the received circadian illuminance value (Cir_lx).

As an example, the processor 502 may calculate the first circadian rhythm index (Cir_idx_1) using a first algorithm according to an embodiment of the present disclosure. The processor 502 may calculate the second circadian rhythm index (Cir_idx_2) using a second algorithm according to an embodiment of the present disclosure.

The first algorithm may be defined as an algorithm that calculates the first circadian rhythm index using the first parameter, the second parameter, and the third parameter. The second algorithm may be defined as an algorithm that calculates the second circadian rhythm index using the first parameter, the second parameter, and the third parameter. The first parameter is a timing related to light irradiation, the second parameter is a weight at a specific timing, and the third parameter is defined as a circadian illuminance value (or a circadian standard illuminance value). It can be.

In one embodiment, the first parameter may be the time (t) at which light irradiation (or light exposure) to the user's body from external light begins. The second parameter may be a weight at a specific time (t). Details of the first algorithm for calculating the first circadian rhythm index (Cir_idx_1) and the second algorithm for calculating the second circadian rhythm index (Cir_idx_2) will be described later with reference to FIG. 6.

The processor 502 may calculate the light pollution index based on the first circadian rhythm index (Cir_idx_1). The light pollution index can be defined as an index that indicates the degree to which the user's circadian rhythm is deviated from the normal circadian rhythm due to external light exposed to the user for a certain period of time as a percentage. The light pollution index is determined using the value of CPS, and can be determined as a value from 0% to 100% so that the user can intuitively check it at a glance. The more the user's circadian rhythm deviates from the normal circadian rhythm and the CPS has a larger positive value, the closer the light pollution index can be to 100%. The closer the user's circadian rhythm is to the normal circadian rhythm and the closer the CPS is to 0, the closer the light pollution index can be to 0%.

The processor 502 may calculate the sleep disturbance index based on the second circadian rhythm index (Cir_idx_2). The sleep disturbance index can be defined as an index representing the user's predicted sleep quality based on external light exposed to the user for a certain period of time. This sleep disturbance index is determined using the value of MSR, and can be determined to be a value of 0 or more so that the user can intuitively check it at a glance. In other words, as the user's melatonin secretion is suppressed more than normal melatonin secretion and the MSR has a larger value, the sleep disturbance index can have a larger positive value. Conversely, as the user's melatonin secretion approaches normal melatonin secretion and the MSR has a smaller value, the sleep disturbance index may have a value closer to 0.

The memory 503 may store data required during the operation(s) performed by the circadian rhythm analysis device 500. As an example, the memory 503 may store a circadian illuminance value (Cir_lx) and/or a visual illuminance value (Vis_lx). The memory 503 may store a first circadian rhythm index (Cir_idx_1) and/or a second circadian rhythm index (Cir_idx_2). The memory 503 may store the light pollution index and/or sleep disturbance index. The memory 503 may store timing related to light irradiation and/or weight at a specific timing. The memory 503 may store data related to circadian illuminance (Cir_lx), weight at a specific timing (timing), and data related to light irradiation time as a data set. Memory 503 may store a program configured to analyze circadian rhythm.

The memory 503 is a volatile memory such as DRAM or SRAM, a non-volatile memory such as PRAM, MRAM, ReRAM, or NAND flash memory, Alternatively, it may include, but is not limited to, a hard disk drive (HDD), or solid state drive (SSD). Additionally, the memory 503 may be a cache, buffer, main memory, or auxiliary memory, or a separately provided storage system depending on its purpose/location, but is not limited thereto.

Figure 6 is a conceptual diagram of a model used in the first algorithm and the second algorithm according to an embodiment of the present disclosure.

Referring to Figure 6, the result (B(t)) of modeling the effect of the circadian illuminance value (I(t)) on the circadian rhythm can be confirmed. I(t) is the intensity of light at time t and can be defined as a circadian illuminance value. B(t) can be defined as the force affecting the circadian rhythm at time t.

The total light receptors present in humans may include receptors in a state capable of responding to light (i.e., Ready state) and receptors in a state that has already responded to light (i.e., Used state). The proportion of receptors in the Used state among all light receptors can be expressed as n(t), and the proportion in the Ready state among all light receptors can be expressed as (1-n(t)).

α(t) can be defined as the rate at which the state of the light receptor changes from the Ready state to the Used state per time. a(t) is a function of I(t), that is, the third parameter, and can also be expressed as α(I).

In one embodiment, the rate at which the state of the light receptor changes from the Ready state to the Used state may be a constant (β) rather than a function of t. As an example, β may be 0.42 per hour, but is not limited thereto.

A receptor in the Ready state can be expressed as α(t)(1-n(t)), and a receptor in the Used state can be expressed as βn(t). Referring to FIG. 12, the differential equation for the model used in the first algorithm and the second algorithm can be expressed as Equation 1 below.

n(t) can be calculated by solving the differential equation of the model according to Equation 1. In one embodiment, it may be assumed that the circadian illuminance value remains constant for 1 hour. In other words, it can be assumed that a(t)=α (α is a constant). Under these assumptions, the solution to the differential equation can be expressed as Equation 2 below.

In Equation 2, if it is assumed that the circadian illuminance value for 24 hours is given for each time zone, n(0), n(1), n(2),..., n(24) can all be calculated. there is. Through the process of repeatedly finding solutions to differential equations for the models used in the first and second algorithms, the value of n(0) that satisfies n(0)=n(24) can be found.

The result of modeling the effect of the circadian illuminance value (I(t)) on the circadian rhythm (B(t)) can be expressed as Equation 3 below.

In Equation 3, G is a constant, and B(t) is linearly related to the first circadian rhythm index or the second circadian rhythm index.

The approximate expression for α(I) can be expressed as Equation 4 below.

In Equation 4, I is the circadian illuminance, and K, A, I0, and p2 are each constant. In one embodiment, when calculating the first circadian rhythm index, A may be about 6.53, K may be about 0.051, I0 may be about 403.267, and p2 may be about 1.439. In one embodiment, when calculating the second circadian rhythm index, A may be about 5.613, K may be about -0.006, I0 may be about 121.469, and p2 may be about 3.577.

The circadian rhythm index (i.e., the first circadian rhythm index or the second circadian rhythm index) (Cir) calculated using B(t) can be expressed as Equation 5 below.

In Equation 5, w(t) is the weight at a specific time (t), that is, the second parameter.

Circadian rhythm index calculated using B(t) assuming that the circadian illuminance value remains constant for 1 hour, that is, a(t)= α (α is a constant) (i.e., the first circadian rhythm index or the second circadian rhythm index) (Cir) can be expressed as Equation 6 below.

In Equation 6, Wh is the average weight at each time interval of a certain time unit. If the constant time is assumed to be 1 hour, Wh may be the average weight between (h-1) hour and h hour. BS(h) can be expressed as Equation 7 below.

Wh may have different values for each of the first circadian rhythm index and the second circadian rhythm index. Additionally, Wh of the first circadian rhythm index or the second circadian rhythm index may be a different value for each time. For example, W1 of the first circadian rhythm index may be about 1.142, and W2 of the first circadian rhythm index may be about 1.11. For example, W1 of the second circadian rhythm index may be about 0.373, and W2 of the second circadian rhythm index may be about 0.362.

Figure 7 is a graph showing lens transmittance according to wavelength for each user's age according to an embodiment of the present disclosure. Figure 8 is a graph showing the ratio of lens transmittance compared to 32 years old according to wavelength for each user's age according to an embodiment of the present disclosure.

The standard for melanopic EDI (Equivalent Daylight Illuminance) (lx) was established based on users aged 32. For users older than 32, lens transmittance correction based on age is required. In one embodiment, the circadian illuminance (or circadian standard illuminance) may be melanopic EDI.

Referring to FIG. 7, lens transmittance by wavelength for each user from 1 year old to 90 years old is shown. As the user's age increases, the lens transmittance may decrease. If the lens transmittance is close to 100%, this may mean that the user accepts all light of that wavelength. In particular, there is a significant difference in lens transmittance depending on age in terms of blue light transmittance. For example, even when exposed to the same level of light with Melanopic EDI 100lx, older people receive an adaptive amount of light.

lens transmittance Can be expressed as Equation 8 and Equation 9 below.

Referring to Equations 8 to 9, a refers to the user's age and λ refers to the wavelength of light.

Ratio of lens transmittance compared to age 32 can be expressed as Equation 10 below:

Age corrected melanopic EDI according to lens transmittance Can be expressed as Equation 11 below.

Referring to Equation 11, means the age-related transmittance ratio of melanopic efficacy.

Can be expressed as Equation 12 below.

In equation 12, is the melatonin sensitivity curve, means the spectrum curve of the light source.

In one embodiment, Spectrum Power Distribution (SPD) configures a preset for each age of a known light source, This can be provided. Depending on the user's age and light source Once the value is determined, a melanopic EDI reflecting age can be calculated.

Figure 9 is a flowchart showing a method of analyzing the circadian rhythm index of the circadian rhythm analysis device according to an embodiment of the present disclosure.

In S502, the circadian rhythm analysis device may receive the circadian illuminance value from an external source. The circadian rhythm analysis device may receive a circadian illuminance value and/or a visual illuminance value from the circadian illuminance measurement device 400 (FIG. 4).

In S504, the circadian rhythm analysis device may calculate a first circadian rhythm index corresponding to an indicator indicating the degree of shift of the phase of the circadian rhythm based on the circadian illuminance value. . The first circadian rhythm index can be calculated by an integral equation (Equation 5 or Equation 6) using the weight at a specific time and the circadian illuminance value at a specific time.

In S506, the circadian rhythm analysis device may calculate a second circadian rhythm index corresponding to an indicator indicating the degree of inhibition of melatonin secretion based on the circadian illuminance value. The second circadian rhythm index can be calculated by an integral equation (Equation 5 or Equation 6) using the weight at a specific time and the circadian illuminance value at a specific time.

The first circadian rhythm index or the second circadian rhythm index is calculated by a first parameter, a second parameter, and a third parameter, where the first parameter is timing related to light irradiation, and the second parameter is The third parameter, the weight at a specific timing, may be the circadian illuminance value.

In S508, the circadian rhythm analysis device may calculate the light pollution index based on the first circadian rhythm index. The light pollution index may be an indicator indicating the degree of distortion of the circadian rhythm determined by external light.

In S510, the circadian rhythm analysis device may calculate a sleep disturbance index based on the second circadian rhythm index. The sleep disturbance index may be an indicator of the quality of sleep determined by the external light.

In S512, the circadian rhythm analysis device may output the light pollution index or the sleep disturbance index.

As above, exemplary embodiments are disclosed in the drawings and specifications. Although embodiments have been described in this specification using specific terms, these are merely used for the purpose of explaining the technical idea of the present disclosure and are not used to limit the meaning or scope of the present disclosure described in the claims. Therefore, those skilled in the art will understand that various modifications and other equivalent embodiments are possible. Therefore, the true technical protection scope of the present disclosure should be determined by the technical spirit of the attached claims.

Claims (15)

A transceiver configured to receive circadian illuminance values; and
Calculate a first circadian rhythm index corresponding to an index indicating the degree of shift of the phase of the circadian rhythm based on the circadian illuminance value, and calculate the first circadian rhythm index based on the circadian illuminance value. At least one processor configured to calculate a second circadian rhythm index corresponding to an indicator indicating the degree of inhibition of melatonin secretion;
The first circadian rhythm index and the second circadian rhythm index are indicators indicating the influence of the circadian illuminance on the circadian rhythm,
The first circadian rhythm index or the second circadian rhythm index is a weight (w(t)) at a specific time (t) and a receptor in the Ready state at the specific time (t) (α(t) Calculated by the integral equation using (1-n(t))),
A device that analyzes the circadian rhythm index. In claim 1,
The processor,
further configured to calculate a light pollution index based on the first circadian rhythm index,
The light pollution index is an indicator indicating the degree of distortion of the circadian rhythm determined by external light,
A device that analyzes the circadian rhythm index. In claim 2,
The processor,
Further configured to calculate a sleep disturbance index based on the second circadian rhythm index,
The sleep disturbance index is an indicator of the quality of sleep determined by the external light,
A device that analyzes the circadian rhythm index. In claim 3,
The first circadian rhythm index or the second circadian rhythm index is calculated by a first parameter, a second parameter, and a third parameter,
The first parameter is a timing related to light irradiation, the second parameter is a weight at the specific time t, and the third parameter is the circadian illuminance value,
A device that analyzes the circadian rhythm index. In claim 4,
The first circadian rhythm index or the second circadian rhythm index is calculated by Equation 1,
[Equation 1]

w(t) is the second parameter, G is a constant, α(t) is the rate at which the state of the light receptor changes from Ready to Used, and (1-n(t)) is the Ready state among all light receptors. The ratio there is,
A device that analyzes the circadian rhythm index. In claim 5,
n(t) is calculated using Equation 2,
[Equation 2]

β is the rate at which the state of the light receptor changes from Used to Ready, and α is a constant value of α(t) when the circadian illuminance value is kept constant for a predetermined period of time,
A device that analyzes the circadian rhythm index. In claim 6,
If the predetermined period is 1 hour,
α(t) or n(t) is calculated using the third parameter value for each time as a constant value,
The first circadian rhythm index or the second circadian rhythm index is calculated using Equation 3 and Equation 4,
[Equation 3]

[Equation 4]

h is the time in 1 hour, Wh is the average value of the second parameter between (h-1) time and h time,
A device that analyzes the circadian rhythm index. A method performed by a circadian rhythm index analysis device,
Receiving a circadian illuminance value;
calculating a first circadian rhythm index corresponding to an index indicating the degree of shift of the phase of the circadian rhythm based on the circadian illuminance value; and
Comprising a step of calculating a second circadian rhythm index corresponding to an indicator indicating the degree of inhibition of melatonin secretion based on the circadian illuminance value,
The first circadian rhythm index and the second circadian rhythm index are indicators indicating the influence of the circadian illuminance on the circadian rhythm,
The first circadian rhythm index or the second circadian rhythm index is a weight (w(t)) at a specific time (t) and a receptor in the Ready state at the specific time (t) (α(t) Calculated by the integral equation using (1-n(t))),
Operation method to analyze circadian rhythm index. In claim 8,
It further includes calculating a light pollution index based on the first circadian rhythm index,
The light pollution index is an indicator indicating the degree of distortion of the circadian rhythm determined by external light,
Operation method to analyze circadian rhythm index. In claim 9,
It further includes calculating a sleep disturbance index based on the second circadian rhythm index,
The sleep disturbance index is an indicator of the quality of sleep determined by the external light,
Operation method to analyze circadian rhythm index. In claim 10,
The first circadian rhythm index or the second circadian rhythm index is calculated by a first parameter, a second parameter, and a third parameter,
The first parameter is a timing related to light irradiation, the second parameter is a weight at the specific time t, and the third parameter is the circadian illuminance value,
Operation method to analyze circadian rhythm index. In claim 11,
Further comprising calculating the first circadian rhythm index or the second circadian rhythm index using Equation 1,
[Equation 1]

w(t) is the second parameter, G is a constant, α(t) is the rate at which the state of the light receptor changes from Ready to Used, and (1-n(t)) is the Ready state among all light receptors. The ratio there is,
Operation method to analyze circadian rhythm index. In claim 12,
It further includes calculating n(t) using Equation 2,
[Equation 2]

β is the rate at which the state of the light receptor changes from Used to Ready, and α is a constant value of α(t) when the circadian illuminance value is kept constant for a predetermined period of time,
Operation method to analyze circadian rhythm index. In claim 13,
When the predetermined period is 1 hour, calculating α(t) or n(t) using the third parameter value for each time, which is a constant value; and
It further includes calculating the first circadian rhythm index or the second circadian rhythm index using Equation 3 and Equation 4,
[Equation 3]

[Equation 4]

h is the time in 1 hour units, Wh is the average value of the second parameter between (h-1) time and h time,
Operation method to analyze circadian rhythm index. A computer program combined with a computer as hardware and stored in a computer-readable recording medium to perform the method of analyzing the circadian rhythm index of any one of claims 8 to 14.