KR20240064444A - Circadian rhythm wearable device and operation method thereof - Google Patents

Abstract

A circadian wearable device and a method of operating the same are disclosed. A display according to one aspect of the technical idea of the present disclosure; A transceiver configured to receive circadian illuminance values; and a first circadian rhythm that measures biometric data and corresponds to an indicator indicating the degree of shift in the phase of the circadian rhythm based on at least one of the circadian illuminance value or the biometric data. Calculate the index, calculate a second circadian rhythm index corresponding to an index indicating the degree of inhibition of melatonin secretion based on at least one of the circadian illuminance value or the biometric data, and calculate the first circadian rhythm index or at least one processor configured to display information corresponding to at least one of the second circadian rhythm indices on the display.

Description

Circadian wearable device and method of operation thereof {CIRCADIAN RHYTHM WEARABLE DEVICE AND OPERATION METHOD THEREOF}

The technical idea of the present disclosure relates to a circadian wearable device and a method of operating the same, and more specifically, to a wearable device that provides a circadian rhythm healthcare service and a method of operating the same.

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 anti-cancer 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 devices that monitor, analyze, and even provide treatment for 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.

The problem that the technical idea of the present disclosure seeks to solve is to provide technology for monitoring and analyzing changes in the user's circadian rhythm in real time using a wearable device.

In addition, the problem that the technical idea of the present disclosure seeks to solve is to provide technology for calculating and analyzing the user's circadian rhythm indices using a wearable device.

In addition, the problem solved by the technical idea of this company is to provide technology for controlling the user's circadian rhythm using a wearable device.

In order to achieve the above object, a circadian wearable device according to an aspect of the technical idea of the present disclosure includes: a display; A transceiver configured to receive circadian illuminance values; and a first circadian rhythm that measures biometric data and corresponds to an indicator indicating the degree of shift in the phase of the circadian rhythm based on at least one of the circadian illuminance value or the biometric data. Calculate the index, calculate a second circadian rhythm index corresponding to an index indicating the degree of inhibition of melatonin secretion based on at least one of the circadian illuminance value or the biometric data, and calculate the first circadian rhythm index or at least one processor configured to display information corresponding to at least one of the second circadian rhythm indices on the display.

The Circadian Rhythm Healthcare System according to one aspect of the technical idea of the present disclosure is:

A circadian rhythm analysis device that receives circadian illuminance values; Circadian wearable device that measures biometric data; and a light emitting light based on lighting control information, wherein the circadian rhythm analysis device determines a first circadian rhythm index and a second circadian rhythm index based on at least one of the circadian illuminance value and the biometric data. Calculate a circadian rhythm index, calculate a light pollution index based on the first circadian rhythm index, calculate a sleep disturbance index based on the second circadian rhythm index, and obtain the lighting control information. The circadian wearable device is configured to display at least one of the light pollution index and the sleep disturbance index, and the lighting is configured to emit light based on the lighting control information.

According to the technical concept of the present disclosure, the circadian wearable device and its operating method measure biorhythms such as melatonin, core body temperature, and heart rate through the wearable device, and detect changes in the circadian rhythm that affect the user in a 24-hour cycle. It has an effect that can be quantitatively predicted and analyzed.

In addition, according to the circadian wearable device and its operating method according to the technical idea of the present disclosure, there is an effect of providing light therapy according to the results of analysis of the circadian rhythm.

In addition, according to the circadian wearable device and its operating method according to the technical idea of the present disclosure, it is possible to provide a user-customized circadian rhythm healthcare service for normalizing and optimizing the circadian rhythm.

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 the circadian rhythm healthcare system 200 according to the first embodiment of the present disclosure.
Figure 3 is a block diagram schematically showing a circadian rhythm healthcare system 300 according to a second embodiment of the present disclosure.
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 schematic block diagram of a watch-type circadian wearable device 600.
Figure 7 is a schematic block diagram of a glasses-type circadian wearable device 700.
Figure 8 is a schematic block diagram of circadian lighting 800.
Figure 9 shows the circadian illuminance measurement device 400, the circadian rhythm analysis device 500, the watch-type circadian wearable device 600, the circadian lighting 800, and the smartphone 900. This illustrates an embodiment of providing cardian rhythm healthcare services.
Figure 10 is a relationship diagram for the circadian illuminance measurement device 400, the circadian rhythm analysis device 500, the glasses-type circadian wearable device 700, and the circadian lighting 800.
Figure 11 shows an embodiment of providing circadian rhythm healthcare service through a smartphone.
Figure 12 is a flowchart showing a method of providing a Circadian rhythm healthcare service by a Circadian wearable device according to a first embodiment of the present disclosure.
Figure 13 is a flowchart showing a method of providing a Circadian Rhythm Healthcare service of the Circadian Rhythm Healthcare system according to a second embodiment of the present disclosure.

Commands or data to be used in the processor 120 may be received from outside the electronic device 101 (eg, 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 temperature sensor, May include a humidity sensor. According to one embodiment, the sensor module 176 is an illuminance sensor that measures visual illuminance or a circadian illuminance sensor that measures circadian illuminance, and/or measures sleep patterns, core body temperature, heart rate, number of steps, etc. It may include a biometric sensor that measures biometric data.

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 technology provides high-speed transmission of high-capacity data (enhanced mobile broadband (eMBB)), minimization of terminal power and access to multiple terminals (massive machine type communications (mMTC)), or ultra-reliable and low-latency (URLLC). -latency communications)) can be supported. 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 a communication method used in a communication network such as the first network 198 or the second network 199 is, for example, connected to the plurality of antennas by 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 must 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-described 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 identically or similarly to 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 the circadian rhythm healthcare system 200 according to the first embodiment of the present disclosure.

The circadian rhythm healthcare system 200 according to the first embodiment of the present disclosure measures biological rhythms such as melitonin, core body temperature, heart rate, and circadian illuminance from the external light environment exposed to the user, and measures the circadian illuminance. The system for deriving the rhythm index may include a circadian wearable device 203 including a circadian illuminance measurement device 202 and a circadian 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 of 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. The first circadian rhythm index and the second circadian rhythm index may be collectively referred to as the 'circadian rhythm index'. Details about CPS and MSR are described later in FIG. 5.

In FIG. 2, the circadian wearable device 203 is described as including a circadian illuminance measurement device 202 and a circadian rhythm analysis device 201, but is not limited thereto. The circadian illuminance measurement device 202 and the circadian rhythm analysis device 201 are not included in the circadian wearable device 203 and may be separate devices. Additionally, the circadian illuminance measurement device 202 and the circadian rhythm analysis device 201 may be one device. At this time, the circadian illuminance measurement device 202, the circadian rhythm analysis device 201, and the circadian wearable device 203 may communicate with each other through the first network 198 (FIG. 1).

Figure 3 is a block diagram schematically showing a circadian rhythm healthcare system 300 according to a second embodiment of the present disclosure.

The circadian rhythm healthcare system 300 according to the second embodiment of the present disclosure measures biological rhythms such as melitonin, core body temperature and heart rate and circadian illuminance from the external light environment exposed to the user, and measures the circadian illuminance. It is a system for not only deriving a rhythm index but also providing light therapy based on the circadian rhythm index, and includes a circadian wearable device 203 and a lighting device 204.

For a description of the circadian wearable device 203, refer to FIG. 2.

Referring to FIGS. 1 and 3 , the circadian wearable device 203 (FIG. 3) may communicate with the lighting device 204 (FIG. 2) through the network 198 (FIG. 1).

In one embodiment, the lighting device 204 may emit light by adjusting the characteristics of the light based on the lighting control information and/or the circadian rhythm index received from the circadian wearable device 203. The lighting device 204 may emit light whose illuminance or color temperature is adjusted according to lighting control information and/or the circadian rhythm index.

Lighting control information is determined based on at least one of biometric data, CPS, and MSR, and relates to what intensity of light to apply, for what time, and when. For example, the lighting control information may include information about a circadian illuminance value corresponding to 500 lux, a light irradiation start time corresponding to 12:40 PM, and a light irradiation duration corresponding to 38 minutes. Accordingly, the lighting device 204 can emit light equivalent to 500 lux for 38 minutes according to the corresponding lighting control information.

Here, the lighting device 204 may be an LED light, a stand-type light, a ceiling-type light, etc.

In FIG. 3, the circadian wearable device 203 and the lighting device 204 are described as separate devices, but the present invention is not limited thereto. The lighting device 204 may be included in the circadian wearable device 203.

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 external light passing through the circadian wavelength filter 401 and converts it into a circadian wavelength signal, and detects external light passing 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. The Circadian Action Factor (CAF) is a function of the color temperature of the external light and can be defined as the ratio of the Circadian Efficacy of Radiation (CER) to the Luminous Efficacy of Radiation (LER). 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 the light sensitivity characteristic for hormones that control the circadian rhythm has 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.

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

The transceiver 501 may receive timing values related to light irradiation from the outside. The transceiver 501 may receive a light irradiation duration value from the outside. Referring to FIGS. 4 and 5, as an example, the transceiver 501 receives a timing value and/or a duration time of light irradiation related to light irradiation from the circadian illuminance measurement device 400 (FIG. 4). A value can be received.

The transceiver 501 may transmit the first circadian rhythm index (Cir_idx_1) and/or the second circadian rhythm index (Cir_idx_2) to the outside. 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 (Cir_idx_1) and the second circadian rhythm index (Cir_idx_2) 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_1) 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 may be defined as a timing related to light irradiation, the second parameter may be defined as the duration of light irradiation, and the third parameter may be defined as a circadian illuminance value (or a circadian standard illuminance value). .

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 the time (d) during which light is irradiated (or exposed to light) to the user's body from external light. As another example, the first parameter is the time (t'=t+d/2) corresponding to the median value of the time (d) during which light is irradiated (or exposed to light) to the user's body from external light, that is, light irradiation ( or, light exposure) may be intermediate vision. The method of calculating the circadian rhythm index using the above-described first algorithm and the second algorithm is only an example, and other algorithms can be used in a wearable device and a circadian rhythm healthcare system according to an embodiment of the present disclosure. The Cardian Rhythm Index can be calculated.

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 indicating 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 (Cir_lx) value and/or a visual illuminance value. 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 and/or duration time values related to light irradiation. The memory 503 may store data related to circadian illuminance (Cir_lx) 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, a buffer, a main memory, an auxiliary memory, or a separately provided storage system depending on its purpose/location, but is not limited thereto.

Figure 6 is a schematic block diagram of a watch-type circadian wearable device 600.

The watch-type circadian wearable device 600 is a smart watch and may include a main body 601 and a strap 602 that secures the main body 601 to the user's wrist.

The main body 601 may include at least one sensor 610, a circuit 620, and a touch screen 630. The circuit organ 630 may include a processor, memory, transceiver, etc. Although not shown in FIG. 6, the watch-type circadian wearable device 600 may include a battery.

In one embodiment, at least one sensor 610 may be electrically connected to the circuitry 620. At least one sensor 610 can measure biometric data such as sleep pattern, core body temperature, heart rate, and number of steps, and transmit the measured biometric data to the circuit organ 630. Additionally, at least one sensor 610 may measure the circadian illuminance and transmit the measured circadian illuminance to the circuit organ 620.

In one embodiment, circuitry 620 may calculate CPS and MSR based on circadian illuminance values. Additionally, the circuitry 620 may determine lighting control information based on at least one of biometric data, CPS, and MSR, and transmit the determined lighting control information to the lighting. Circuitry 620 may transmit CPS and/or MSR to the light.

In one embodiment, the touch screen 630 may be electrically connected to the circuit 620 and may detect a user's input, such as a touch or hovering. The touch screen 630 can detect the user's input through the user's finger or pen and transmit the sensing information to the circuitry 620. The touch screen 630 can display data received from the circuitry 620. Data received from the circuit organ 620 may be circadian illuminance value, CPS, MSR, biometric data, etc. Additionally, the data received from the circuit organ 620 may be the score and incidence increase rate for each disease, and detailed information on the score and incidence increase rate for each disease will be described later in FIG. 11.

Figure 7 is a schematic block diagram of a glasses-type circadian wearable device 700.

The glasses-type circadian wearable device 700 is a smart glass and may include at least one sensor 710, a circuit 720, an LED lamp 730, and a display 740.

In one embodiment, at least one sensor 710 may be electrically connected to the circuitry 720. At least one sensor 710 can measure biometric data such as sleep pattern, core body temperature, heart rate, and number of steps, and transmit the measured biometric data to the circuit organ 720. As an example, at least one sensor 710 may be inserted into the ear contact portion of the glasses-type circadian wearable device 700 to measure core body temperature. Additionally, at least one sensor 710 may measure the circadian illuminance and transmit the measured circadian illuminance to the circuit organ 720.

In one embodiment, circuitry 720 may calculate CPS and MSR based on circadian illuminance values. Additionally, the circuitry 720 may determine lighting control information based on at least one of biometric data, CPS, and MSR, and transmit the determined lighting control information to the LED lamp 730. Circuitry 720 may transmit CPS and/or MSR to LED lamp 730.

In one embodiment, the circuitry 720 may transmit the screen of the smartphone to the display 740 through connection with the smartphone.

In one embodiment, the LED lamp 730 may emit light whose illuminance or color temperature is adjusted based on lighting control information received from the circuit engine 720. The LED lamp 730 may be a light.

In one embodiment, the display 740 may be electrically connected to the circuit engine 720 and may display data received from the circuit engine 720. Data received from the circuit organ 720 may be circadian illuminance value, CPS, MSR, biometric data, etc. In addition, the data received from the circuit organ 720 may be the score and incidence increase rate for each disease, and detailed information on the score and incidence increase rate for each disease will be described later in FIG. 11.

In one embodiment, the display 740 may display the screen of a smartphone.

Figure 8 is a schematic block diagram of circadian lighting 800.

The circadian lighting 800 may include a power supply unit 810, a lighting control unit 820, and a light source unit 830.

In one embodiment, the power supply unit 810 supplies power to the light source unit 830 under the control of the lighting control unit 820. That is, the power supply unit 810 can supply power (current, etc.) for generating light in the light source unit 830, and may also be referred to as a driver.

In one embodiment, the lighting control unit 820 may perform various control operations of the lighting 800. That is, the lighting control unit 820 can control the performance of a control method to be described later. For example, the lighting control unit 820 may include a hardware processor or a software process executed on the processor, but is not limited thereto. At this time, the lighting 800 may further include a lighting memory (not shown) in which control-related information of the lighting control unit 820 is stored, and the lighting control unit 820 may perform various controls using the information stored in the lighting memory. You can. The lighting control unit 820 may control characteristics such as illuminance or color temperature based on lighting control information.

In one embodiment, the light source unit 830 may include a first light source 831 and a second light source 832. The light source unit 830 is a component that generates light and may include a plurality of light sources. For example, the plurality of light sources may include a red light source, a green light source, an orange light source, and a blue light source, and may be arranged in various forms. Here, each light source may be a light emitting diode (LED), but is not limited thereto.

The light source unit 830 may include first and second light sources 831 and 832 that generate light with adjusted bio-illuminance or color temperature. At this time, the first and second light sources 831 and 832 may generate light having characteristics relative to each other (i.e., characteristics related to different illuminance levels). However, both the first and second light sources 831 and 832 may emit light including a wavelength band corresponding to the bio-illuminance range. For example, the wavelength band corresponding to the range of bio-illuminance may be 400 nm to 600 nm.

That is, the first and second light sources 831 and 832 generate light in different color regions (hereinafter referred to as “first case”) or light with different color temperatures (hereinafter referred to as “second case”). ”) can be done. Of course, the first and second cases may occur simultaneously. These first and second light sources 831 and 832 may each be implemented as separate LEDs. That is, the first light source 831 may be implemented with one or more LEDs, and the second light source 832 may also be implemented with one or more LEDs.

For example, the first light source 831 operates as a blue-enriched LED and can generate light with increased circadian illumination intensity or increased color temperature. On the other hand, the second light source 832 acts as a blue-deficient LED and can generate light with a reduced intensity of circadian illumination or a lowered color temperature. Hereinafter, the light generated from the first light source 831 will be referred to as “first light,” and the light generated from the second light source 832 will be referred to as “second light.”

That is, in the first case, the first light source 831 may generate first light containing more light components in the blue region than the second light source 832, and the second light source 832 may generate first light containing more light components in the blue region than the second light source 832. It is possible to generate a second light containing less light components in the blue region than (831).

Accordingly, the average value of the spectral irradiance (unit: W/m ² /nm) in the blue region of the first light is preferably greater than the average value of the spectral irradiance in the blue region of the second light.

For example, the blue region may include a wavelength band of 440 nm to 500 nm, and in particular, may include a wavelength of 490 nm. That is, in the 440nm to 500nm wavelength band, the average value of the spectral radiation intensity of the first light may be greater than that of the second light. Additionally, at the 490 nm wavelength, the spectral radiance intensity of the first light may be greater than that of the second light. Of course, the first and second light sources 831 and 832 may be light sources that generate light including not only the blue region but also other color regions.

Additionally, in the second case, the first light source 831 may generate first light with a higher color temperature than the second light source 832, and the second light source 832 may generate light with a lower color temperature than the first light source 831. A second light may be generated. For example, the color temperature value of the first light may be 4500 to 10000, and the color temperature value of the second light may be 2000 to 4500, but are not limited thereto.

In particular, the lighting control unit 830 controls the first and second lights generated from the first and second light sources 831 and 832 of the light source unit 410, respectively, according to lighting control information. To this end, the lighting control unit 830 can control the first current supplied to the first light source 831 and the second current supplied to the second light source 832, respectively.

Meanwhile, in the case of lighting using a light source that emits light at visual illuminance (i.e., prior art), since the intensity of visual illuminance is adjusted, precise control of melatonin secretion, etc. through control of visual illuminance is not possible. Accordingly, the prior art has limitations in precisely managing the user's circadian rhythm.

In order to improve these problems of the prior art, in the present invention, the light source unit 830 is provided with first and second light sources 831 and 832 that emit light of a specific circadian illuminance but have opposing characteristics, and provide lighting control. The lighting control unit 820 controls the characteristics of the first and second lights according to the information or the circadian rhythm index. That is, in the case of the present invention, the characteristics of the first and second light (i.e., bio-illuminance or color temperature, etc.) are controlled based on the user's circadian rhythm index analyzed in the ambient light environment, and according to this control, melatonin secretion, etc. This will be directly affected. As a result, precise management of the user's circadian rhythm is possible, allowing the user's circadian rhythm to be optimized or restored to normal.

In one embodiment, the lighting 800 may include an integrated circuit (IC) equipped with an algorithm for controlling lighting according to the aforementioned lighting control information or circadian rhythm index.

Meanwhile, the lighting 800 may be a component included in an electronic device. For example, if the electronic device is a glasses-type circadian wearable device, the lighting 800 may be included in the electronic device. This is because the glasses-type circadian wearable device is an electronic device that can easily employ lighting 800 due to its use characteristics. However, in this case, only the first light source 831 may be included in the light source unit 830, and the second light source 832 may be additionally included. At this time, in order to protect the user's eyes, the first light source 831 does not use a direct irradiation method that causes the first light to be incident directly on the user's eyes, but rather emits the first light around the user's eyes (e.g., under, next to, or under the eyes). It may be an indirect irradiation method that is emitted through the skin (above). Additionally, when the second light source 832 is additionally included, the second light may be provided to be directed toward the front of the smart glass.

In this way, when the lighting 800 is included in the electronic device, the lighting control unit 820 described above may be replaced with a control unit. Additionally, in this case, along with the lighting 800, a circadian illuminance measurement device and a circadian rhythm analysis device may also be included in the electronic device. This is because the glasses-type circadian wearable device is employed in a location where the user (in particular, the user's eyes) can easily detect the light environment to which he or she is exposed. At this time, the memory and processor included in the circadian illuminance measurement device and the circadian rhythm analysis device may be replaced with a memory and a control unit, respectively.

Hereinafter, the control method according to an embodiment of the present invention will be described in more detail.

Figure 9 shows the circadian illuminance measurement device 400, the circadian rhythm analysis device 500, the watch-type circadian wearable device 600, the circadian lighting 800, and the smartphone 900. This illustrates an embodiment of providing cardian rhythm healthcare services.

In one embodiment, the Circadian rhythm healthcare system includes a Circadian illuminance measuring device 400, a Circadian rhythm analysis device 500, a watch-type Circadian wearable device 600, and a Circadian lighting (800). ) and provides circadian rhythm healthcare services through smartphones (900).

The circadian illuminance measuring device 400 can measure circadian illuminance. The circadian rhythm analysis device 500 may calculate CPS and MSR based on the circadian illuminance measured by the circadian illuminance measurement device 400. The circadian illuminance measurement device 400 and the circadian rhythm analysis device 500 may be included in a clip-type device.

The watch-type circadian wearable device 600 may determine lighting control information based on at least one of biometric data, CPS, and MSR.

The circadian lighting 800 may emit light whose illuminance and color temperature are adjusted based on lighting control information. Through the circadian lighting (800), light therapy can be performed to normalize the user's circadian rhythm. The illuminance, color temperature, etc. of the circadian lighting 800 may be adjusted to improve the user's learning ability or quality of sleep.

The smartphone 900 can display biometric data, CPS, and MSR, and can also display information related to circadian rhythm. Furthermore, the smartphone 900 may display a disease-specific score and incidence increase rate calculated based on at least one of biometric data, CPS, and MSR.

Figure 10 is a relationship diagram for the circadian illuminance measurement device 400, the circadian rhythm analysis device 500, the glasses-type circadian wearable device 700, and the circadian lighting 800.

In one embodiment, the circadian illuminance measurement device 400 and the circadian rhythm analysis device 500 may be devices that diagnose the user's circadian rhythm. The circadian illuminance measurement device 400 and the circadian rhythm analysis device 500 may be configured as a clip type and may include a circadian illuminance meter, an electrocardiograph, and a core thermometer. Electrocardiographs and core thermometers can be of bed type or patch type.

The circadian lighting 800 may be a device that provides light therapy based on the circadian rhythm index. The circadian lighting 800 may be of stand type, ceiling type, portable, LED, etc.

The glasses-type circadian wearable device 700 may be a comprehensive diagnostic and treatment device that diagnoses the user's circadian rhythm and provides light therapy based on the circadian rhythm index. The glasses-type circadian wearable device 700 may include a circadian illuminance measurement device 400, a circadian rhythm analysis device 500, and a circadian lighting 800. That is, the glasses-type circadian wearable device 700 may include an illuminance meter, an electrocardiograph, a core thermometer, a heart rate monitor, and a CBT sensor for measuring circadian illuminance and analyzing circadian rhythm. Furthermore, the glasses-type circadian wearable device 700 may include circadian lighting 800.

The glasses-type circadian wearable device 700 can link with a smartphone and transmit biometric data, circadian rhythm index, etc. to the smartphone. At this time, the smartphone can display the score and incidence increase rate for each disease calculated based on the received biometric data, circadian rhythm index, etc. In addition, detailed information on the smartphone's circadian rhythm, melatonin, sleep disturbance index, light pollution index, circadian illuminance, etc. is described later in FIG. 11.

Figure 11 shows an embodiment of providing circadian rhythm healthcare service through a smartphone.

In one embodiment, circadian-related information and disease-related information may be provided through a smartphone.

Referring to (a) of FIG. 11, in one embodiment, the smartphone 1100 may provide real-time circadian illuminance information. For example, the smartphone 1100 may provide information on circadian illuminance for each 4-hour period.

Referring to (b) of FIG. 11, in one embodiment, the smartphone 1100 may provide delay and score information for the circadian rhythm. For example, the smartphone 1100 may provide that the circadian rhythm is delayed by 2 hours and 30 minutes and the circadian rhythm score is 75 out of 100.

In one embodiment, the smartphone 1100 may provide a melatonin suppression index and a sleep disturbance index. For example, a smartphone can provide that melatonin is suppressed by 40% and the sleep disturbance index is 78 out of 100.

In one embodiment, the smartphone 1100 may provide a light pollution index and a light pollution score. For example, the smartphone 1100 may provide a light pollution index of 85% and a light pollution score of 15 out of 100. In particular, the light pollution index can be provided on a 4-hour basis.

Referring to Figures 11 (c) and (d), in one embodiment, the smartphone 1100 may provide a disease score and incidence increase rate. For example, the smartphone 110 can provide disease scores and incidence increase rates for diseases that are difficult to treat, such as Parkinson's and Alzheimer's, as well as common diseases such as obesity, insomnia, and diabetes. Additionally, the smartphone 1100 may also provide a disease score and incidence increase rate for cancer.

Circadian rhythm healthcare services can be provided as corporate healthcare services and healthcare services for the elderly.

Figure 12 is a flowchart showing a method of providing a Circadian rhythm healthcare service by a Circadian wearable device according to a first embodiment of the present disclosure.

In S1201, the circadian wearable device may receive the circadian illuminance value from the outside. The circadian rhythm analysis device may receive a circadian illuminance value and/or a visual illuminance value from a circadian illuminance measurement device.

In S1202, the Circadian wearable device may measure the user's biometric data. The user's biometric data includes sleep patterns, core body temperature, heart rate, and number of steps.

At S1203, the circadian wearable device may calculate a first circadian rhythm index. The first circadian rhythm index may be a circadian phase shift (CPS) value calculated based on the absolute time corresponding to a predetermined melatonin secretion start point (dim light melatonin onset (DLMO)).

At S1204, the circadian wearable device may calculate a second circadian rhythm index. The second circadian rhythm index may be a melatonin suppression response (MSR) value calculated based on the absolute time corresponding to the predetermined melatonin secretion start point (dim light melatonin onset (DLMO)).

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 Light irradiation duration (duration time), the third parameter may be the circadian illuminance value. The first circadian rhythm index or the second circadian rhythm index may be calculated based on the circadian illuminance value or the user's biometric data.

At S1205, the circadian wearable 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.

At S1206, the circadian wearable 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 S1207, the Circadian wearable device may display a light pollution index and a sleep disturbance index.

Figure 13 is a flowchart showing a method of providing a Circadian rhythm healthcare service of the Circadian rhythm healthcare system according to a second embodiment of the present disclosure.

In S1301, the circadian rhythm analysis device may receive the circadian illuminance value from the outside. The circadian rhythm analysis device may receive a circadian illuminance value and/or a visual illuminance value from a circadian illuminance measurement device.

At S1302, the Circadian wearable device may measure the user's biometric data. The user's biometric data includes sleep patterns, core body temperature, heart rate, and number of steps.

At S1303, the circadian rhythm analysis device may calculate a first circadian rhythm index. The first circadian rhythm index may be a circadian phase shift (CPS) value calculated based on the absolute time corresponding to a predetermined melatonin secretion start point (dim light melatonin onset (DLMO)).

At S1304, the circadian rhythm analysis device may calculate a second circadian rhythm index. The second circadian rhythm index may be a melatonin suppression response (MSR) value calculated based on the absolute time corresponding to the predetermined melatonin secretion start point (dim light melatonin onset (DLMO)).

In S1305, 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 S1306, 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 S1307, the Circadian wearable device may display the light pollution index or the sleep disturbance index calculated by the Circadian rhythm analysis device.

In S1308, the circadian rhythm analysis device or the circadian wearable device may determine lighting control information based on at least one of biometric data, CPS, and MSR. For example, lighting control information can be determined by any set that causes CPS to be zero. A set may be defined as a set including timing, duration time, and circadian illuminance value related to light irradiation. Lighting control information may include circadian illuminance value, time zone, color temperature, irradiation time, etc. for circadian rhythm treatment.

At S1309, the circadian rhythm analysis device or circadian wearable device may transmit lighting control information to the lighting. In S1310, the lighting may emit light based on lighting control information.

As above, exemplary embodiments are disclosed in the drawings and specifications. In this specification, embodiments have been described using specific terms, but these are only 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 (13)

display;
A transceiver configured to receive circadian illuminance values; and
measure biometric data,
Calculate a first circadian rhythm index corresponding to an index indicating the degree of shift in the phase of the circadian rhythm based on at least one of the circadian illuminance value or the biometric data,
Calculating a second circadian rhythm index corresponding to an indicator indicating the degree of inhibition of melatonin secretion based on at least one of the circadian illuminance value or the biometric data,
At least one processor configured to display information corresponding to at least one of the first circadian rhythm index or the second circadian rhythm index on the display, comprising:
Circadian wearable device. In claim 1,
The biometric data includes at least one of sleep pattern, core body temperature, heart rate, and number of steps.
Circadian wearable device. In claim 1,
The first circadian rhythm index and the second circadian rhythm index are indicators indicating the effect of the circadian illuminance on the circadian rhythm,
Circadian wearable device. 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,
Circadian wearable device. In claim 4,
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,
Circadian wearable device. In claim 5,
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 the timing related to light irradiation, the second parameter is the light irradiation duration (duration time), and the third parameter is the circadian illuminance value,
Circadian wearable device. In claim 6,
The first circadian rhythm index is a circadian phase shift (CPS) value calculated based on the absolute time corresponding to the predetermined melatonin secretion start point (dim light melatonin onset (DLMO)),
Circadian wearable device. In claim 7,
The second circadian rhythm index is a melatonin suppression response (MSR) value calculated based on the absolute time corresponding to the predetermined melatonin secretion start point (dim light melatonin onset (DLMO)),
Circadian wearable device. In claim 1,
The information corresponding to at least one of the first circadian rhythm index or the second circadian rhythm index is the light pollution index or the sleep disturbance index,
Circadian wearable device. In claim 1,
The Circadian wearable device is smart glasses or a smart watch,
When the circadian wearable device is the smart glass, it further includes circadian lighting that emits light according to lighting control information determined by the processor,
Circadian wearable device. A circadian rhythm analysis device that receives circadian illuminance values;
Circadian wearable device that measures biometric data; and
Includes lighting that emits light based on lighting control information,
The circadian rhythm analysis device calculates a first circadian rhythm index and a second circadian rhythm index based on at least one of the circadian illuminance value and the biometric data, and the first circadian rhythm configured to calculate a light pollution index based on the index, calculate a sleep disturbance index based on the second circadian rhythm index, and determine the lighting control information;
The circadian wearable device displays at least one of the light pollution index and the sleep disturbance index,
The lighting is configured to emit light based on the lighting control information,
Circadian Rhythm Healthcare System. In claim 11,
The Circadian wearable device is smart glasses or a smart watch,
When the circadian wearable device is the smart glasses, the lighting is included in the smart glasses,
Circadian Rhythm Healthcare System. In claim 11,
The first circadian rhythm index is an indicator indicating the degree of shift of the phase of the circadian rhythm,
The second circadian rhythm index is an indicator indicating the degree of inhibition of melatonin secretion,
Circadian Rhythm Healthcare System.

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