Sleep analysis system considering circadian rhythm and amount of sunshine and sleep analysis method using same

The sleep analysis system addresses the limitations of conventional technologies by using a multi-wavelength illuminance measurement and bio-signal analysis to provide accurate and reliable circadian rhythm and sleep state analysis.

WO2025135491A1PCT designated stage expired Publication Date: 2025-06-26OSONG MEDICAL INNOVATION FOUNDATION
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Patent Information

Application Number
PCT/KR2024/017436
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-12-19
Filing Date
2024-11-06
Publication Date
2025-06-26

AI Technical Summary

Technical Problem

Conventional sleep management technologies using wearable devices to measure circadian rhythm are limited by their reliance on a single photodiode to measure external light intensity, resulting in inaccurate circadian rhythm measurement and low accuracy in sleep analysis.

Method used

A sleep analysis system that incorporates a data generation unit, a data processing unit, and a data output unit, utilizing an illuminance measurement unit with a lens, transmissive grating, and camera sensor to measure and calculate light intensity across various wavelengths, along with bio-signal measurement units to analyze circadian rhythm and sleep state.

Benefits of technology

The system provides a more accurate and reliable analysis of circadian rhythm and sleep state by considering both illumination and bio-signal information, enabling individual analysis of light wavelengths such as blue light, which significantly affects sleep state, thereby improving the accuracy and reliability of analysis results.

✦ Generated by Eureka AI based on patent content.

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Abstract

Provided are a sleep analysis system considering circadian rhythm and amount of sunshine, and a sleep analysis method using the same, the sleep analysis system comprising a data generation unit, a data processing unit, and a data output unit. The data generation unit includes an illuminance measurement unit for selectively measuring entire light or light of a specific wavelength, thereby measuring data for sleep analysis. The data processing unit includes a light amount calculation unit for selectively calculating the amount of the entire light or the amount of the light of the specific wavelength on the basis of the measurement result of the illuminance measurement unit, thereby processing the measured data. The data output unit externally displays a circadian rhythm and a sleep state on the basis of the processed data.
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Description

Sleep analysis system considering circadian rhythm and sunlight amount and sleep analysis method using the system

[0001] The present invention relates to a sleep analysis system that takes into account circadian rhythm and amount of sunlight, and a sleep analysis method using the same, and more particularly, to a sleep analysis system that takes into account circadian rhythm and amount of sunlight, which can quantitatively measure a wearer's circadian rhythm through light intensity and bio-signal information, and analyze and monitor the state of the wearer, and a sleep analysis method using the same.

[0002] Circadian rhythms refer to all physiological phenomena with a 24-hour periodicity, influenced by both endogenous and exogenous factors. Endogenous factors are regulated by the genetic time-regulation system, which creates periodicity in physiological functions such as body temperature, immunity, and hormones. Exogenous factors, on the other hand, regulate circadian rhythms through environmental factors and individual behavioral patterns.

[0003] In particular, if a problem occurs in the above circadian rhythm, diseases such as emotional disorders, sleep disorders, depression, and fatigue may occur, and a measuring device that quantitatively measures the circadian rhythm is required to treat these diseases.

[0004] Accordingly, a technology for a sleep management system using a wearable device is disclosed through Korean Patent No. 10-2545257, and a technology for feedback-based circadian rhythm management is disclosed through Korean Patent No. 10-2417541.

[0005] However, in the case of sleep management technology through measurement of conventional circadian rhythm, it only measures the intensity of external exposure light using a single photodiode, so there is a problem that it is limited in measuring more accurate circadian rhythm and the accuracy of sleep analysis is not high.

[0006] Related prior art documents include Korean Patent No. 10-2545257 and Korean Patent No. 10-2417541.

[0007] Accordingly, the technical problem of the present invention is conceived from this point, and the purpose of the present invention is to provide a sleep analysis system that takes into account the circadian rhythm and sunlight amount, which can quantitatively measure the circadian rhythm of the wearer through illumination and bio-signal information, and analyze and monitor the sleep state.

[0008] In addition, another object of the present invention is to provide a sleep analysis method using the sleep analysis system.

[0009] According to one embodiment of the present invention, a sleep analysis system for realizing the above-described object includes a data generation unit, a data processing unit, and a data output unit. The data generation unit includes an illuminance measurement unit that selectively measures the total amount of light or light of a specific wavelength, thereby measuring data for sleep analysis. The data processing unit includes an illuminance calculation unit that selectively calculates the total amount of light or light of a specific wavelength based on the measurement result of the illuminance measurement unit, thereby processing the measured data. The data output unit displays the circadian rhythm and sleep status externally based on the processed data.

[0010] In one embodiment, the illuminance measuring unit may include a lens through which a light source is incident, a transmissive grating spaced apart from the lens by a predetermined distance to disperse the incident light source into visible light wavelengths, and a camera sensor spaced apart from the transmissive grating by a predetermined distance (d) to measure the intensity of light of the visible light wavelengths.

[0011] In one embodiment, the camera sensor can measure the intensity of light across the entire visible light wavelength range, or the distance (d) from the transmissive grating can be varied to measure the intensity of light at each visible light wavelength.

[0012] In one embodiment, the light quantity calculation unit may include a light quantity measurement unit that obtains light quantity in the entire visible light wavelength range from the intensity of light measured by the camera sensor, a pixel-by-pixel light quantity collection unit that collects light quantity information for each pixel unit of the camera sensor, a wavelength conversion unit that converts the pixel unit into a wavelength unit, a first light quantity calculation unit that calculates light quantity in the entire visible light wavelength range from the light quantity information converted into the wavelength unit, and a second light quantity calculation unit that calculates light quantity at a specific wavelength from the light quantity information converted into the wavelength unit.

[0013] In one embodiment, the second light quantity calculation unit can calculate the light quantity in the blue light wavelength range at the specific wavelength.

[0014] In one embodiment, the illuminance measuring unit includes a light sensor that measures the total intensity of the light, or includes N light sensors that each measure the intensity of light of N specific wavelengths, and the light quantity calculating unit can obtain the light quantity in the entire wavelength range of the light from the total intensity of the light, or obtain the light quantity at each of the N wavelengths.

[0015] In one embodiment, the data generation unit may include an electrocardiogram measurement unit that measures the user's electrocardiogram, a pulse wave measurement unit that measures the user's photoplethysmogram in synchronization with the electrocardiogram measurement, and a temperature measurement unit that measures the user's body temperature in synchronization with the electrocardiogram measurement.

[0016] In one embodiment, the data processing unit may include a pulse wave calculation unit that derives the user's oxygen saturation and blood pressure from the photoplethysmography measurement results, an electrocardiogram calculation unit that derives the user's heart rate and heart rate variability from the electrocardiogram measurement results, and a body temperature calculation unit that derives the user's body temperature from the body temperature measurement results.

[0017] In one embodiment, the data output unit can display information derived from the data processing unit externally according to the time of the cycle.

[0018] In one embodiment, the data output unit can externally display the user's status during sleep time among the information derived from the data processing unit.

[0019] In one embodiment, the data output unit can selectively display the change in total sunlight amount during sleep time calculated by the light amount calculation unit and the change in light amount of a specific wavelength.

[0020] In one embodiment, the data generation unit, the data processing unit, and the data output unit may be mounted on a wearable device.

[0021] According to one embodiment of the present invention for realizing another object of the present invention, a sleep analysis method may include a step of selectively measuring all light or light of a specific wavelength, a step of selectively calculating the total amount of light or the amount of light of a specific wavelength from the measured light, a step of measuring an electrocardiogram of a user after displaying an alarm, a step of generating a signal synchronized with the electrocardiogram measurement, a step of measuring a photoplethysmogram of the user and a body temperature of the user based on the synchronized signal, a step of calculating the oxygen saturation of the user, the heart rate, the blood pressure, the heart rate variability and the body temperature of the user from the electrocardiogram, the photoplethysmogram and the body temperature measurements synchronized with each other, and a step of externally displaying a circadian rhythm and a sleep state based on the calculated information.

[0022] Through the embodiments of the present invention as described above, the analysis results for the user's circadian rhythm and sleep state can be confirmed through a wearable device, and in particular, in analyzing the circadian rhythm or sleep state, in addition to simply analyzing based on the total amount of light, the amount of light of a specific wavelength (e.g., blue light) that has a significant effect on the sleep state can be individually analyzed, thereby further improving the accuracy and reliability of the analysis results obtained.

[0023] In this case, the wavelength of light of a specific wavelength can be selected in various ways, so that information on light of a specific wavelength can be selectively provided in addition to blue light, thereby providing more diverse circadian rhythm and sleep analysis results.

[0024] In particular, in order to obtain the amount of light for each of various wavelengths, a photodiode corresponding to each wavelength and an optical filter for each wavelength must be provided, but in the case of this embodiment, since it is possible to obtain the amount of light for each of various wavelengths through a single illuminance measurement unit, a simple design of the system is possible, and implementation into a wearable device is also easy.

[0025] That is, the illuminance measurement unit can measure the intensity of light for various visible light wavelengths through a transmissive grating that disperses a light source and a camera sensor whose distance from the transmissive grating is variable, so that it is possible to measure the intensity of light for each wavelength while omitting multiple photodiodes or optical filters.

[0026] Furthermore, since various sensors are equipped and the sensing results are synchronized and analyzed over time, it is possible to analyze the user's circadian rhythm as well as separate analysis of sleep time, thereby providing more accurate and reliable sleep analysis results.

[0027] Figure 1 is a block diagram illustrating a sleep analysis system according to one embodiment of the present invention.

[0028] FIG. 2a and FIG. 2b are a plan view and a back view showing an example of the sleep analysis system of FIG. 1 implemented as a wearable device.

[0029] Figure 3 is a flowchart illustrating a sleep analysis method using the sleep analysis system of Figure 1.

[0030] Figures 4a and 4b are schematic diagrams illustrating the illuminance measurement step through the illuminance measurement unit of Figure 1 and the light quantity calculation step of the light quantity calculation unit.

[0031] Fig. 5 is a block diagram illustrating the light quantity calculation unit of Fig. 1.

[0032] Fig. 6 is a flowchart specifically illustrating the steps for measuring illuminance through the illuminance measuring unit of Fig. 1.

[0033] Figure 7 is a diagram illustrating a state in which the circadian rhythm monitoring results are displayed through the wearable device of Figure 2a.

[0034] Figure 8 is a diagram illustrating a state in which sleep state analysis results are displayed through the wearable device of Figure 2a.

[0035] <Explanation of symbols>

[0036] 10: Sleep analysis system 20: Wearable device

[0037] 100: Data generation unit 140: Illuminance measurement unit

[0038] 142: Lens 143: Transmissive grating

[0039] 144: Camera sensor 200: Data processing unit

[0040] 260: Light quantity calculation unit 261: Light quantity measurement unit

[0041] 262: Pixel-by-pixel light collection unit 263: Wavelength conversion unit

[0042] 264: First light quantity calculation unit 265: Second light quantity calculation unit

[0043] 300: Data output section

[0044]

[0045] The present invention is susceptible to various modifications and takes various forms, and thus embodiments are described in detail herein. However, this is not intended to limit the present invention to a specific disclosed form, but rather to encompass all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention. Similar reference numerals have been used to designate similar components throughout the description of each drawing. While terms such as "first," "second," etc. may be used to describe various components, these components should not be limited by these terms.

[0046] The above terms are used solely to distinguish one component from another. The terms used in this application are used solely to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise.

[0047] In this application, it should be understood that terms such as “comprise” or “consist of” are intended to specify the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0048] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and will not be interpreted in an idealized or overly formal sense unless explicitly defined herein.

[0049] Hereinafter, with reference to the attached drawings, a preferred embodiment of the present invention will be described in more detail.

[0050] Figure 1 is a block diagram illustrating a sleep analysis system according to one embodiment of the present invention.

[0051] Referring to FIG. 1, the sleep analysis system (10) according to the present embodiment includes a data generation unit (100), a data processing unit (200), and a data output unit (300).

[0052] The above data generation unit (100) measures data for analysis of circadian rhythm and sleep state, and specifically includes a pulse wave measurement unit (110), an electrocardiogram measurement unit (120), a temperature measurement unit (130), and an illuminance measurement unit (140).

[0053] First, the electrocardiogram measurement unit (120) measures the user's electrocardiogram information, and although not shown, may include an alarm that notifies the outside of the start of electrocardiogram measurement.

[0054] The above electrocardiogram measuring unit (120) can be configured in various ways, but can measure the user's electrocardiogram signal by having a pair of electrodes as shown in FIGS. 2a and 2b.

[0055] The above-mentioned photoplethysmography measuring unit (110) measures the user's photoplethysmography, and the above-mentioned temperature measuring unit (130) measures the user's body temperature. In this case, the photoplethysmography and the body temperature must be measured in synchronization with the electrocardiogram measurement, i.e., in synchronization with each other over time.

[0056] To this end, a notification may be generated from the electrocardiogram measurement unit (120) to indicate measurement of an electrocardiogram signal, and a synchronization signal may be provided to the photoplethysmography measurement unit (110) and the temperature measurement unit (130), so that the photoplethysmography and the body temperature are measured simultaneously with receiving the synchronization signal.

[0057] The above illuminance measurement unit (140) measures the intensity of light provided from the outside, and can measure the intensity of the entire light or selectively measure the intensity of light of a specific wavelength.

[0058] That is, in the case of the present embodiment, as will be described later, the illuminance measurement unit (140) may measure the entire intensity of incident light as a whole, or alternatively, may individually measure only the intensity of light of a specific wavelength selectively.

[0059] Furthermore, the measurement of the intensity of the entire light or the intensity of light of a specific wavelength may be performed selectively, or both may be performed simultaneously, and this may be performed through a user's selection or a separate control command.

[0060] Furthermore, the data generation unit (100) may measure other data than the measurement unit exemplified through FIG. 1, and in order to measure other data, it may be configured to additionally or separately provide a measurement unit for measuring the corresponding data.

[0061] Additionally, the signals measured by each of the measuring units (110, 120, 130, 14) of the data generation unit (100) are provided to the data processing unit (200).

[0062] Accordingly, the data processing unit (200) performs data processing, such as a predetermined operation, based on the signals measured by each measuring unit of the data generation unit (100), to derive basic information that can obtain circadian rhythm and sleep status information.

[0063] That is, the data processing unit (200) may include an oxygen saturation calculation unit (210), an electrocardiogram calculation unit (220), a body temperature calculation unit (230), and a light quantity calculation unit (260).

[0064] Accordingly, first, the oxygen saturation calculation unit (210) derives the user's oxygen saturation information (211) and blood pressure information (212) based on the user's photoplethysmogram measured by the pulse wave measurement unit (110).

[0065] The above electrocardiogram calculation unit (220) derives the user's heart rate information (221) and heart rate variability information (222) based on the user's electrocardiogram measured by the electrocardiogram measurement unit (120).

[0066] The above body temperature calculation unit (230) derives the user's body temperature information (230) based on the user's body temperature measured by the body temperature measurement unit (130).

[0067] The above-mentioned light quantity calculation unit (260) selectively derives the total light quantity (264) or the light quantity of a specific wavelength (265) of the incident light based on the intensity information of the incident light measured from the illuminance measurement unit (140). In this case, the specific light quantity derivation method in the light quantity calculation unit (260) will be described in detail later.

[0068] As described above, through the data processing unit (200), data processing or calculation is performed based on the information measured from the data generation unit (100) to derive necessary data, and the derived data is provided to the data output unit (300).

[0069] Thus, the data output unit (300) outputs the processed data to the outside, and can output information about the user's circadian rhythm to the outside through the circadian rhythm output unit (310), or output the analysis results of the user's sleep state to the outside through the sleep state output unit (320).

[0070] At this time, the type and content of specific information output through the data output unit (300) are explained through the drawings described below.

[0071] FIG. 2a and FIG. 2b are a plan view and a back view showing an example of the sleep analysis system of FIG. 1 implemented as a wearable device.

[0072] The sleep analysis system (10) described with reference to FIG. 1 can be implemented and manufactured as a wearable device (20), as shown in FIG. 2a and FIG. 2b.

[0073] In particular, the wearable device (20) is a band-type watch that is worn on the user's wrist and can perform analysis on the user's circadian rhythm and sleep status.

[0074] Referring to FIGS. 2a and 2b, when the sleep analysis system (10) is implemented in the wearable device (20), the data output unit (300) is provided on the front of the device (20) in the form of a display.

[0075] In addition, in the case of the illuminance measurement unit (140), since external light must be measured, it is provided on the front of the device (20) and formed to face the outside, similar to the data output unit (300). For example, the illuminance measurement unit (140) may be provided on the upper side, which is the outer surface of the data output unit (300).

[0076] In addition, the electrocardiogram measuring unit (120) may be provided with the first electrode (121) on the front side of the device (20) and the lower side outside the data output unit (300), and the second electrode (122) may be provided entirely on the rear side of the device (20). That is, the second electrode (122) should be provided on the rear side of the device (20) and formed to be in direct contact with the user's skin.

[0077] In addition, the pulse wave measuring unit (110) is also formed on the back of the device (20) so as to be in contact with the user's skin. In the drawing, it is exemplified that it is formed in the center, but it is not limited thereto, and it is sufficient to be in direct contact with the user's skin.

[0078] In addition, the temperature measuring unit (130) is formed on the rear side of the device (20), and although it is illustrated in the drawing that it is formed on one lower side, it is not limited thereto, and both non-contact and contact types are possible, and it can be mounted in various locations.

[0079] As described above, the data generation unit (100) and the data output unit (300) are provided to be exposed externally on the front or back of the wearable device (20), but the data processing unit (200) performs operations on measured data and may be provided inside the main body of the wearable device (20).

[0080] The sleep analysis system (10) described in the above Fig. 1 can be implemented as a band-type wearable device (20) that can be worn on the wrist as shown in Figs. 2a and 2b, but is not limited thereto, and can also be implemented as a wearable device that is mounted on other parts of the user other than the wrist, such as the chest, ankle, etc.

[0081] Figure 3 is a flowchart illustrating a sleep analysis method using the sleep analysis system of Figure 1.

[0082] Referring to FIG. 3, in the sleep analysis method using the sleep analysis system (10) described in FIG. 1, first, the illuminance of light incident through the illuminance measurement unit (140) is measured (step S110), and data on the illuminance thus measured is processed and stored through the light quantity calculation unit (260) (step S200), and then output to the outside through the data output unit (300) (step S300).

[0083] In this case, as previously explained, the illuminance measurement unit (140) can selectively measure the entire incident light or light of a specific wavelength, and as previously explained, the light quantity of the entire spectrum (wavelength) or light quantity of a specific spectrum can be derived through the light quantity calculation unit (260). Furthermore, the light quantity calculation of the light quantity calculation unit (260) will be described in more detail with reference to the drawings described below.

[0084] After this, as shown in Fig. 3, the electrocardiogram measurement unit (120) notifies the start of electrocardiogram measurement by displaying a predetermined alarm externally (step S120), and simultaneously performs measurement of the user's electrocardiogram (step S130).

[0085] In addition, along with the start of measurement for the electrocardiogram, a synchronization signal for synchronization is generated and provided to the pulse wave measuring unit (110) and the temperature measuring unit (130) (step S140), and thus, the pulse wave measuring unit (110) and the temperature measuring unit (130) measure the photoplethysmogram and body temperature of the user, respectively, while receiving the synchronization signal (steps S150 and S160).

[0086] That is, the pulse wave measuring unit (110), the temperature measuring unit (130), and the electrocardiogram measuring unit (120) are synchronized with each other to measure the user's pulse wave, body temperature, and electrocardiogram over time, thereby enabling the measurement data to be synchronized with each other, thereby improving convenience and reliability in final data processing.

[0087] Meanwhile, through FIG. 3, it is exemplified that the electrocardiogram measurement alarm display step (step S120), the electrocardiogram measurement step (step S130), the synchronization signal generation step (step S140), the photoplethysmography measurement step (step S150), and the temperature measurement step (step S160) are performed sequentially, but the steps for measuring each of these signals can be measured substantially simultaneously.

[0088] Furthermore, data measured from the user as described above are provided to the data processing unit (200), and the data processing unit (200) derives and stores information such as the user's oxygen saturation, blood pressure, heart rate, heart rate variability, and body temperature from the measured data (step S200).

[0089] In this case, the specific derivation of the above information is the same as that described with reference to Figure 1.

[0090] Thus, the information derived above is finally displayed externally through the data output unit (300) (step S300).

[0091] Below, the specific details of the illuminance measurement in the illuminance measurement unit (140) of Fig. 1 and the calculation details of the light quantity calculation unit (260) that calculates the light quantity based on the measured illuminance are described.

[0092] Figures 4a and 4b are schematic diagrams illustrating the illuminance measurement step through the illuminance measurement unit of Figure 1 and the light quantity calculation step of the light quantity calculation unit.

[0093] First, referring to FIGS. 4a and 4b, the illuminance measurement unit (140) includes a lens (142), a transmissive grating (143), and a camera sensor (144).

[0094] The above lens (142) transmits light incident from a light source (141), and the incident light source (145) passing through the lens (142) is provided to the transmissive grating (143). At this time, the incident light source (145) may be visible light.

[0095] The above-mentioned transmission grating (143) disperses the incident light source (145) into a visible light spectrum (wavelength), and light passing through the transmission grating (143) is provided to the camera sensor (144) as visible light (146) having a dispersed wavelength.

[0096] Thus, the camera sensor (144) can sense visible light (146) having the dispersed wavelengths and measure the intensity of light for each of the dispersed wavelengths of the visible light.

[0097] As a result, the incident light source (145) passing through the lens (142) (which may be a slit) is generated as light in the form of a continuous spectrum by the transmissive grating (143), and when the camera sensor (144) is a line CMOS sensor, the intensity of the spectrum can be measured for each pixel.

[0098] That is, in this case, the camera sensor (144) is placed at a predetermined distance (d) from the transmissive grating (143), and the separation distance (d) can be varied in various ways. In general, if the separation distance (d) is applied to the diffraction grating formula (λ = d × sinθ, d is the spacing between grating pitches), the pixel distance of the camera sensor (144) can be converted into a wavelength, and by adjusting the position of the camera sensor (144), i.e., the distance (d) from the transmissive grating (143), the light intensity of a spectrum in the range of 400 nm to 700 nm, which is the wavelength range of visible light, can be measured.

[0099] At this time, since the pixel information of the camera sensor (144) represents wavelength information, the amount of light in a specific wavelength range can be obtained by selecting the range of the pixels, which is performed through the amount of light calculation unit (260) described below.

[0100] In contrast, through the light quantity calculation unit (260), the light quantity for N wavelengths can be obtained by specifying a range of N specific wavelengths, and this will also be described later through the description of the light quantity calculation unit (260). In particular, as confirmed through the image (147) in Fig. 4b, the spectral dispersion effect of white light on the diffraction grating was confirmed using optical simulation software.

[0101] As described above, the illuminance measurement unit (140) can measure the intensity of light in the entire visible light wavelength range (400 nm to 700 nm) of the incident light, and by varying the distance (d) from the transmissive grating (143), the intensity of light in the visible light wavelength can be individually measured for each wavelength.

[0102]

[0103] Meanwhile, unlike what has been described above, although not shown, the illuminance measurement unit (140) may be configured as a photodiode that measures the entire intensity of the light. Thus, the illuminance measurement unit (140) measures the entire intensity of the incident visible light at once, and the light quantity calculation unit (260) described below can also obtain the amount of light in the entire wavelength range of the incident visible light based on the intensity of the entire incident visible light sensed by the photo sensor.

[0104] In addition, the illuminance measurement unit (140) may be configured with N light sensors (N is a natural number) that each measure the intensity of light of N specific wavelengths, together with or instead of a light sensor that measures the overall intensity of the light.

[0105] At this time, each of the N light sensors measures the intensity of light at a specific wavelength to be measured, and accordingly, the number of light sensors can be selectively provided according to the number of specific wavelengths to be measured.

[0106] That is, in order to measure only the intensity of the entire visible light and the intensity of the blue light wavelength range through the above illuminance measurement unit (140), only two light sensors (entire wavelength and blue light wavelength) can be provided.

[0107] Furthermore, when the light sensor of the illuminance measurement unit (140) is provided as described above, the light quantity calculation unit (260) obtains the light quantity at each of the N wavelengths based on the intensity of light of a specific wavelength sensed by each of the N light sensors.

[0108] Fig. 5 is a block diagram illustrating the light quantity calculation unit of Fig. 1. Fig. 6 is a flowchart specifically illustrating the steps for measuring illuminance through the illuminance measurement unit of Fig. 1.

[0109] The measurement result regarding the intensity of light measured through the illuminance measuring unit (140) described in Fig. 4 is provided to the light quantity calculation unit (260). Thus, the light quantity calculation unit (260) measures the illuminance of the light and calculates the light quantity (step S110 and step S200).

[0110] Specifically, referring to FIGS. 5 and 6, in the step of calculating the amount of light by measuring the illuminance of the light (steps S110 and S200), first, the light amount measuring unit (261) measures the amount of light in the entire area of ​​the camera sensor (144) (step S111). That is, the amount of light is obtained in the entire visible light wavelength range from the intensity of the light measured by the camera sensor (144).

[0111] After this, the pixel-by-pixel light quantity collection unit (262) collects light quantity information for each pixel unit of the camera sensor (144) (step S112). For example, if the camera sensor (144) has a total of 2,000 pixels, light quantity information must be collected for each pixel unit from the first pixel to the 2,000th pixel.

[0112] After this, in the wavelength conversion unit (263), the pixel unit is converted into a wavelength unit (step S113). That is, considering the wavelength range of 400 nm to 700 nm of the incident visible light, the pixel unit is converted into a wavelength unit. This conversion means that the pixel distance is changed into a wavelength length, and the pixel of the line CMOS sensor corresponding to the spectrum is selected to measure the intensity of the light.

[0113] That is, finally, the first light quantity calculation unit (264) calculates the light quantity in the entire wavelength range of the visible light wavelength, 400 nm to 700 nm (step S114), and the second light quantity calculation unit (265) calculates the light quantity in a specific wavelength range, for example, the blue light range of 400 nm to 450 nm (step S115).

[0114] In this case, since the wavelength range that generally has the greatest influence on sleep state is the blue light wavelength range, this is an example of calculating the amount of light in the 400 nm to 450 nm range, and the range of the amount of light can be selected in various ways according to the user's choice or need.

[0115] After this, information about the calculated light quantity is displayed externally through the data output unit (300) (step S300).

[0116] As described above, when measuring the amount of sunlight, it is calculated as the sum total of light measured through all pixels of the line CMOS sensor, and when measuring the intensity of light in a specific wavelength range, the pixel distance is changed to the wavelength length, and the pixel of the line CMOS sensor corresponding to the spectrum is selected to measure the intensity of light. Through this, not only can the illuminance of the entire light and the intensity of light in various wavelength bands be measured through a single photo sensor array, but also the intensity of light can be measured by selecting a desired wavelength from the spectral wavelength across the entire area without replacing the optical filter or mechanically moving the spectral slit.

[0117] Figure 7 is a diagram illustrating a state in which the circadian rhythm monitoring results are displayed through the wearable device of Figure 2a.

[0118] Referring to Fig. 7, the user's circadian rhythm monitoring results can be displayed as shown through the data output unit (300).

[0119] That is, when a user clicks the circadian rhythm measurement button (310), which is the circadian rhythm measurement output unit of the wearable device (20), buttons for light quantity, oxygen saturation, blood pressure, and heart rate / body temperature can be generated through the data output unit (300), and by clicking each button, information on light quantity, oxygen saturation, blood pressure, and heart rate / body temperature according to time can be displayed and output as shown.

[0120] In particular, in the case of light quantity information, not only light quantity values ​​calculated from the entire spectrum but also light quantity values ​​calculated from a specific wavelength range can be selectively output, either alone or all.

[0121] Through this, we can check the results of the user's circadian rhythm, that is, the 24-hour cycle.

[0122] Figure 8 is a diagram illustrating a state in which sleep state analysis results are displayed through the wearable device of Figure 2a.

[0123] In contrast, referring to FIG. 8, when a user clicks the sleep state analysis button (320), which is a sleep state output unit of the wearable device (20), sunlight measurement, oxygen saturation / heart rate variability / body temperature buttons can be generated through the data output unit (300).

[0124] Thus, when a user clicks the irradiance measurement button, information on the sum of the light amount calculated at wavelengths in the entire visible light range and the sum of the light amount calculated at a specific wavelength range can be output selectively or simultaneously.

[0125] Additionally, when a user clicks the oxygen saturation / heart rate variability / body temperature button, the degree of change in heart rate variability, body temperature, and oxygen saturation according to night and sleep time can be displayed and output as shown.

[0126] Thus, users can analyze their sleep rhythms by checking the amount of sunlight and light of a specific wavelength (e.g., blue light), and monitoring heart rate variability, body temperature, and oxygen saturation information according to the changes and amount of light.

[0127] At this time, the heart rate variability is bio-information related to stress or depression, and can be used to analyze factors of sleep disorders, the body temperature is bio-information related to melatonin secretion, and can obtain information on the state of sleep and appropriate sleep time, and the oxygen saturation can be used to discover factors that disrupt sleep rhythms, such as sleep apnea, that occur during sleep.

[0128] As in the embodiments of the present invention described above, the analysis results for the user's circadian rhythm and sleep state can be confirmed through a wearable device, and in particular, in analyzing the circadian rhythm or sleep state, in addition to simply analyzing based on the total amount of light, the amount of light of a specific wavelength (e.g., blue light) that has a significant effect on the sleep state can be individually analyzed, thereby further improving the accuracy and reliability of the analysis results obtained.

[0129] In this case, the wavelength of light of a specific wavelength can be selected in various ways, so that information on light of a specific wavelength can be selectively provided in addition to blue light, thereby providing more diverse circadian rhythm and sleep analysis results.

[0130] In particular, in order to obtain the amount of light for each of various wavelengths, a photodiode corresponding to each wavelength and an optical filter for each wavelength must be provided, but in the case of this embodiment, since it is possible to obtain the amount of light for each of various wavelengths through a single illuminance measurement unit, a simple design of the system is possible, and implementation into a wearable device is also easy.

[0131] That is, the illuminance measurement unit can measure the intensity of light for various visible light wavelengths through a transmissive grating that disperses a light source and a camera sensor whose distance from the transmissive grating is variable, so that it is possible to measure the intensity of light for each wavelength while omitting multiple photodiodes or optical filters.

[0132] Furthermore, since various sensors are equipped and the sensing results are synchronized and analyzed over time, it is possible to analyze the user's circadian rhythm as well as separate analysis of sleep time, thereby providing more accurate and reliable sleep analysis results.

[0133] Although the present invention has been described above with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various modifications and changes may be made to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below.

Claims

1. A data generation unit for measuring data for sleep analysis, including an illuminance measurement unit that selectively measures all light or light of a specific wavelength; A data processing unit that processes the measured data, including a light quantity calculation unit that selectively calculates the total light quantity or light of a specific wavelength based on the measurement results of the above illuminance measurement unit; and A sleep analysis system including a data output unit that externally displays circadian rhythm and sleep status based on the processed data.

2. In paragraph 1, the illuminance measuring unit, A lens through which light enters; A transmissive grating spaced apart from the lens to disperse the incident light source into visible light wavelengths; and A sleep analysis system characterized by including a camera sensor that measures the intensity of light of the visible light wavelength at a predetermined distance (d) from the above-mentioned transparent grating.

3. In the second paragraph, the camera sensor, Measure the intensity of light across the entire visible light wavelength range, or A water surface analysis system characterized in that the distance (d) from the above-mentioned transparent grating is variable, and the intensity of light of the visible light wavelength is measured for each wavelength.

4. In the second paragraph, the light quantity calculation unit, A light quantity measuring unit that obtains light quantity in the entire visible light wavelength range from the light intensity measured by the camera sensor; A pixel-by-pixel light collection unit that collects light information for each pixel of the above camera sensor; A wavelength conversion unit that converts the above pixel units into wavelength units; A first light quantity calculation unit that calculates light quantity in the entire visible light wavelength range from light quantity information converted into the wavelength unit; and A sleep analysis system characterized by including a second light quantity calculation unit that calculates the light quantity at a specific wavelength from the light quantity information converted into the wavelength unit.

5. In the fourth paragraph, the second light quantity calculation unit, A sleep analysis system characterized by calculating the amount of light in the blue light wavelength range at the above specific wavelength.

6. In paragraph 1, The above illuminance measuring unit includes a light sensor measuring the total intensity of the light, or N light sensors each measuring the intensity of light of N specific wavelengths, A sleep analysis system, characterized in that the above light quantity calculation unit obtains light quantity in the entire wavelength range of the light from the total intensity of the light, or obtains light quantity at each of N wavelengths.

7. In paragraph 1, the data generation unit, An electrocardiogram measuring unit for measuring the user's electrocardiogram; A pulse measurement unit that measures the user's photoplethysmogram in synchronization with the above electrocardiogram measurement; and A sleep analysis system characterized by including a temperature measuring unit that measures the user's body temperature in synchronization with the electrocardiogram measurement.

8. In paragraph 7, the data processing unit, A pulse wave calculation unit that derives the user's oxygen saturation and blood pressure from the above photoplethysmography measurement results; An electrocardiogram calculation unit that derives the user's heart rate and heart rate variability from the electrocardiogram measurement results; and A sleep analysis system characterized by including a body temperature calculation unit that derives the user's body temperature from the body temperature measurement results.

9. In paragraph 1, the data output unit, A sleep analysis system characterized by displaying information derived from the above data processing unit externally according to the time of the cycle.

10. In the first paragraph, the data output unit, A sleep analysis system characterized in that it externally displays the user's state during sleep time among the information derived from the above data processing unit.

11. In the 10th paragraph, the data output unit, A sleep analysis system characterized by selectively displaying changes in total sunlight amount and changes in light amount of a specific wavelength during sleep time calculated by the above light amount calculation unit.

12. In any one of paragraphs 1 to 11, A sleep analysis system, characterized in that the data generation unit, the data processing unit, and the data output unit are mounted on a wearable device.

13. A step of selectively measuring all light or light of a specific wavelength; A step of selectively calculating the total amount of light or the amount of light of a specific wavelength from the measured light; After displaying the alarm, a step of measuring the user's electrocardiogram; A step of generating a signal synchronized with the above electrocardiogram measurement; A step of measuring the user's photoplethysmogram and the user's body temperature based on the above-mentioned synchronized signal; A step of calculating the user's oxygen saturation, the user's heart rate, blood pressure, heart rate variability and body temperature from the above synchronized electrocardiogram, photoplethysmogram and body temperature measurements; and A sleep analysis method including a step of externally displaying the circadian rhythm and sleep state based on the above calculated information.

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