Biological information measurement device, biological information measurement system, biological information measurement method, and biological information measurement program
By intermittently operating the LED sensor and adjusting measurement timing, the device achieves accurate temperature measurement despite close sensor proximity, addressing heat interference and ensuring reliable vital data acquisition.
Patent Information
- Application Number
- JP2024112020
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-07-11
- Publication Date
- 2026-01-23
AI Technical Summary
In biological information measuring devices, the close proximity of LED and temperature sensors leads to heat interference from the LED sensor affecting the accuracy of skin surface temperature measurement.
The device intermittently operates the LED sensor and adjusts the measurement timing of the temperature sensor to minimize heat interference, ensuring accurate temperature measurement while maintaining a compact design.
This approach allows for continuous temperature measurement with high accuracy by minimizing the influence of heat from the LED sensor, even when sensors are closely positioned, thereby enhancing the reliability of vital data acquisition.
Smart Images

Figure 2026011429000001_ABST
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to a biological information measuring device, a biological information measuring system, a biological information measuring method, and a biological information measuring program. [Background technology]
[0002] A variety of sensors and measurement technologies are used to measure the human body's biological information (vital data).
[0003] For example, a device is known that uses an LED sensor using a light-emitting diode (LED) as a light-emitting element in combination with a thermistor sensor for temperature measurement to simultaneously measure heart rate, blood oxygen saturation (hereinafter referred to as "SpO2"), and body surface temperature (for example, see Patent Document 1 below). Also, in a device with a similar sensor configuration, a temperature detection means is provided to detect the temperature of the LED, and correction is made to the measurement value of the light-receiving element sensor, since an increase in the temperature around the LED affects the LED light emission intensity (for example, see Patent Document 2 below). [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Special Publication No. 2008-531216 [Patent Document 2] Patent No. 7022963 Summary of the Invention [Problem to be solved by the invention]
[0005] According to the conventional technology, the accuracy of the LED sensor measurement data can be stabilized by detecting the temperature of the LED sensor itself with a temperature sensor.
[0006] However, in measuring devices used in close contact with the human body, it is necessary to place the LED sensor and temperature sensor very close to each other in order to downsize the device in order to improve the comfort of the user, etc. In this case, since the LED sensor and temperature sensor are close to each other, if you try to measure temperature to the 0.01°C level, for example, the heat from the LED sensor circuit itself may affect the temperature sensor, which may affect the accuracy of skin surface temperature measurement.
[0007] Therefore, this disclosure proposes a bioinformation measuring device, a bioinformation measuring system, a bioinformation measuring method, and a bioinformation measuring program that can prevent the measured data from being affected even when multiple sensors for measuring data related to a living body are placed in close proximity. [Means for solving the problem]
[0008] To solve the above problems, the present disclosure provides a bioinformation measuring device that includes a temperature sensor for measuring skin temperature, an LED sensor for measuring vital data, and a control unit that measures user information using the temperature sensor and the LED sensor. The temperature sensor and the LED sensor are disposed on the same surface of the bioinformation measuring device that contacts the body surface of the user wearing the bioinformation measuring device. The control unit continuously measures the user's skin temperature using the temperature sensor and intermittently operates the LED sensor to measure the user's vital data. [Effects of the Invention]
[0009] According to one aspect of the embodiment, even when a plurality of sensors for measuring data relating to a living body are arranged in close proximity, it is possible to prevent the sensors from affecting the measured data. [Brief explanation of the drawings]
[0010] [Figure 1] FIG. 2 is a diagram schematically illustrating a flow of a biological information measurement process according to an embodiment. [Figure 2]FIG. 1 is a diagram (1) showing the structure of a measuring device according to an embodiment. [Figure 3] FIG. 2 is a diagram (2) showing the structure of the measuring device according to the embodiment. [Figure 4] FIG. 3 is a diagram showing the structure of the measuring device according to the embodiment. [Figure 5] FIG. 2 is a diagram illustrating an example of the configuration of a measuring device according to the embodiment. [Figure 6] FIG. 2 is a diagram illustrating an example of the configuration of a processing server according to the embodiment. [Figure 7] FIG. 1 is a diagram (1) for explaining the first biological information measurement process. [Figure 8] FIG. 10 is a diagram (2) for explaining the first biological information measurement process. [Figure 9] FIG. 10 is a diagram (3) for explaining the first biological information measurement process. [Figure 10] FIG. 10 is a diagram (1) for explaining the second biological information measurement process. [Figure 11] FIG. 10 is a diagram (2) for explaining the second biological information measurement process. [Figure 12] FIG. 10 is a diagram (1) for explaining the third biological information measurement process. [Figure 13] FIG. 10 is a diagram (2) for explaining the third biological information measurement process. [Figure 14] FIG. 2 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of a processing server. DETAILED DESCRIPTION OF THE INVENTION
[0011] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In the following embodiments, the same components are designated by the same reference numerals, and redundant description will be omitted.
[0012] (1. Embodiment) (1-1. Example of Biological Information Measurement Process According to the Embodiment) Fig. 1 is a diagram schematically illustrating a flow of a biological information measurement process according to an embodiment. The biological information measurement process according to the embodiment is executed by a biological information measurement system 1 shown in Fig. 1. The biological information measurement system 1 includes a measuring device 10, which is an example of a biological information measurement apparatus according to the present disclosure, a calculation server 100, and a user terminal 200. The devices included in the biological information measurement system 1 can transmit and receive data to and from each other via wireless communication or the like.
[0013] The measuring device 10 is a measuring instrument that has the function of measuring a user's biological information. For example, the measuring device 10 has an LED sensor and a temperature sensor, and continuously measures the user's heart rate, SpO2, and body surface temperature. Specifically, the measuring device 10 is a so-called wearable device that is stored in the user's clothing, such as underwear, and measures the user's biological information continuously or periodically (for example, at a fixed time every night). In this disclosure, for the sake of distinction, the heart rate and SpO2 measured by the LED sensor may be referred to as vital data, and the body surface temperature may be referred to as temperature data.
[0014] The calculation server 100 is an information processing device that acquires measurement data measured by the measuring device 10 and executes various calculations related to the acquired measurement data. For example, the calculation server 100 is a cloud server or the like.
[0015] The user terminal 200 is a terminal device used by a user, such as a smartphone, a tablet terminal, etc. The user terminal 200 displays the calculation results by the calculation server 100, the measurement results by the measuring device 10, etc., in accordance with the user's operation, etc.
[0016] In the biological information measurement process according to the embodiment, the measurement device 10 continuously measures the biological information of the user (step S1). The measurement device 10 sequentially or periodically transmits the measured data to the calculation server 100 (step S2). The calculation server 100 accumulates the acquired measurement data in the database 80 and performs predetermined calculations to acquire appropriate values as the user's vital data and temperature data based on the acquired data (step S3). Details of the calculation process will be described later. Thereafter, the calculation server 100 displays the analyzed measurement data on the user terminal 200 in accordance with a request from a user who wishes to view the measurement data (step S4).
[0017] As described above, the biological information measurement system 1 performs a series of processes, such as continuously measuring the user's biological information, collecting, storing, analyzing, and displaying the measured data.
[0018] Incidentally, when performing the above-described biological information measurement process, the measuring device 10 needs to be in close contact with the user's body to perform continuous measurement, and therefore, miniaturization is required for the purpose of improving the wearing comfort, etc. In other words, the structure of the measuring device 10 requires that the LED sensor and the temperature sensor be arranged in extremely close proximity.
[0019] In this regard, the structure of the measuring device 10 is illustrated using Figure 2. Figure 2 is a diagram (1) showing the structure of the measuring device 10 according to the embodiment. Figure 2 shows a layout diagram of the measuring device 10 when worn by a user, as well as a plan view and a side view.
[0020] As shown in Fig. 2, the measurement device 10 includes a first temperature sensor 20 and an LED sensor unit 30. For example, the measurement device 10 is worn so that the first temperature sensor 20 is in contact with the surface of the user's body, and continuously measures the user's biological information. Furthermore, as shown in the cross-sectional view of Fig. 2, the LED sensor unit 30 is disposed inside the measurement device 10.
[0021] The first temperature sensor 20 is configured using, for example, a thermistor. The LED sensor unit 30 is configured by an electronic circuit including an LED, which is a light-emitting element.
[0022] The LED sensor unit 30 is an example of an optical sensor. The LED sensor unit 30 includes, for example, a plurality of light-emitting units arranged so that their light-emitting surfaces are exposed on the surface of the housing, and a light-receiving unit arranged so that its light-receiving surface is exposed on the surface of the housing. The light-emitting surfaces of the light-emitting units and the light-receiving surfaces of the light-receiving units are protected by a transparent cover glass or the like. The light-emitting units are realized using light sources such as LEDs, OLEDs (Organic Light Emitting Diodes), and semiconductor lasers that emit light within a predetermined wavelength range. The wavelength range of the irradiated light can be selected appropriately depending on the object to be measured.
[0023] In this embodiment, for example, one light-emitting unit emits visible light of a first wavelength in the wavelength range of about 660 nm. The other light-emitting unit emits near-infrared light of a second wavelength in the wavelength range of 880 nm to 940 nm. The light-receiving unit receives transmitted light and reflected light of the irradiated light and outputs a signal according to the amount of received light. The light-receiving unit is realized by, for example, a photodiode, a CCD (Charge Coupled Device), a CMOS (Complementary Metal Oxide Semiconductor), etc.
[0024] That is, the optical sensor emits light from one or both of the light-emitting elements and processes the light received by the light-receiving element using known technology to measure biological information (vital data) such as photoplethysmography, volume pulse wave, pulse rate (heart rate), blood flow velocity, blood flow rate, blood perfusion rate, vascular resistance, blood pressure (systolic blood pressure / diastolic blood pressure), SpO2, etc. For example, SpO2 can be calculated using the absorbance of oxygenated hemoglobin and reduced hemoglobin at each wavelength based on the output values of the light-receiving element obtained by irradiating light of the first wavelength and the second wavelength from each light-emitting element in turn.
[0025] The configurations of the first temperature sensor 20 and the LED sensor unit 30 are not limited to those illustrated, and any configuration may be used as long as it is possible to measure the user's biological information. The measuring device 10 may be provided with the second temperature sensor 40 on its side (a part that does not come into contact with the user's body surface when worn). The measuring device 10 may also be provided with a charging terminal 45. The position at which the second temperature sensor 40 is provided is not limited to the side of the measuring device 10 as shown in the figure, and it may be provided in any position. For example, the second temperature sensor 40 may be provided on the opposite side of the first temperature sensor 20 (the side opposite the user's body surface).
[0026] As described above, the measuring device 10 is intended to be worn by a user at all times, and is therefore formed as small as possible. For example, the planar longitudinal dimension L11 of the measuring device 10 is approximately 40 mm (millimeters) to 50 mm. The planar lateral dimension L12 of the measuring device 10 is approximately 30 mm to 40 mm. The thickness dimension L13 of the measuring device 10 is approximately 10 mm. Note that these dimensions are merely examples and are not limited to these. As shown in FIG. 2 , the first temperature sensor 20 and the LED sensor unit 30 are disposed on the same surface that contacts the body surface of the user wearing the measuring device 10. In this case, "on the same surface" means that the first temperature sensor 20 and the irradiation surface (irradiation direction) of the LED sensor unit 30 are located on the same surface (the side that contacts the user) of the measuring device 10.
[0027] Next, the positional relationship between the first temperature sensor 20 and the LED sensor unit 30 will be described with reference to Fig. 3. Fig. 3 is a diagram (2) showing the structure of the measuring device 10 according to the embodiment.
[0028] FIG. 3 shows the positional relationship between the first temperature sensor 20 and the LED sensor unit 30 in a plan view of the measurement device 10. In the example shown in FIG. 3, the distance L15 from the center of the first temperature sensor 20 to the end of the LED sensor unit 30 farthest from the first temperature sensor 20 is approximately 15 mm to 30 mm. In other words, the entire shape of the LED sensor unit 30 is positioned so that it is contained within 30 mm from the center of the first temperature sensor 20. As shown in FIG. 3, in order to achieve a compact measurement device 10, the first temperature sensor 20 and the LED sensor unit 30 must also be positioned close to each other.
[0029] Next, the positional relationship in the height direction between the first temperature sensor 20 and the LED sensor unit 30 will be described with reference to Fig. 4. Fig. 4 is a diagram (3) showing the structure of the measuring device 10 according to the embodiment.
[0030] 4 shows the positional relationship between the first temperature sensor 20 and the LED sensor unit 30 in a cross-sectional view of the measuring device 10. In the example shown in FIG. 4, when the thickness dimension L13 of the measuring device 10 is 10 mm, the distance L18 from the bottom end of the LED sensor unit 30 to the bottom end of the first temperature sensor 20 arranged on the surface of the measuring device 10 is approximately 5 mm. Note that the dimensions shown in FIG. 4 are merely examples, and the dimensions and positional relationship of each sensor are not limited to these.
[0031] 1 to 4, the first temperature sensor 20 and the LED sensor unit 30 are disposed close to each other in the measurement device 10. In this case, if an attempt is made to measure temperature to the nearest 0.01°C, for example, the heat from the circuitry of the LED sensor unit 30 itself may affect the first temperature sensor 20, which may affect the accuracy of the skin surface temperature measurement.
[0032] Therefore, the biological information measurement system 1 performs the process described below to achieve temperature measurement while suppressing the influence of the LED sensor unit 30. Specifically, the biological information measurement system 1 shifts the timing of measurement by the first temperature sensor 20 and measurement by the LED sensor unit 30, thereby achieving temperature measurement while suppressing the influence of the LED sensor unit 30.
[0033] For example, the measuring device 10 continuously measures the user's skin temperature using the first temperature sensor 20 and intermittently operates the LED sensor unit 30 to measure the user's vital data. Specifically, the measuring device 10 sets the LED sensor unit 30 to operate intermittently for two minutes and then stop for ten minutes. The measuring device 10 then measures the user's skin temperature only when the LED sensor unit 30 stops operating and the temperature drop in the circuit is estimated to have stabilized (i.e., the temperature drop is saturated). Alternatively, the measuring device 10 may continuously measure the skin temperature, and the calculation server 100, which collects the measured data, may use only the temperature data obtained under the temperature drop is estimated to have saturated. Details of the above process are described in Figure 7 and subsequent figures.
[0034] In this way, the biological information measurement system 1 measures the user's biological information while adjusting the operation timing of the LED sensor unit 30 and the measurement timing of the user's skin temperature. As a result, the biological information measurement system 1 enables continuous temperature measurement with high accuracy while suppressing the influence of heat from the LED sensor unit 30, even when using a small measurement device that is intended to be worn on the human body.
[0035] (1-2. Configuration of the measuring device according to the embodiment) The following describes the configuration of each device included in the biological information measuring system 1. First, the configuration of the measuring device 10 will be described with reference to Fig. 5. Fig. 5 is a diagram showing an example of the configuration of the measuring device 10 according to the embodiment.
[0036] As shown in FIG. 5, the measurement device 10 includes an electronic circuit board 11, a battery 15, a first temperature sensor 20, an LED sensor unit 30, and a second temperature sensor 40.
[0037] The electronic circuit board 11 includes a communication unit 12, a control unit 13, and a power supply unit 14. The measuring device 10 may also include an input unit (e.g., physical buttons) that accepts various operations from a user or an administrator, and a display unit (e.g., a liquid crystal display) that displays various information.
[0038] The communication unit 12 is realized by, for example, a network interface controller or the like. The communication unit 12 is connected to a network N (for example, the Internet or a local network) by wire or wirelessly, and transmits and receives information to and from the calculation server 100, the user terminal 200, etc. via the network N. For example, the communication unit 12 may transmit and receive information using a communication standard or communication technology such as Wi-Fi (registered trademark), SIM (Subscriber Identity Module), or LPWA (Low Power Wide Area).
[0039] The control unit 13 is realized by, for example, a central processing unit (CPU), a micro processing unit (MPU), a graphics processing unit (GPU), etc. executing a program stored inside the measurement device 10 using a random access memory (RAM) etc. as a working area. The control unit 13 is also a controller, and is realized by, for example, an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).
[0040] The control unit 13 controls the measurement processing of the measuring device 10 and controls processing related to the power supplies of the electronic circuit board 11 and various sensors. The power supply unit 14 controls the on / off of the power supply of the measuring device 10 and controls the charging of the battery 15, which is the power source for driving the measuring device 10.
[0041] The first temperature sensor 20 and the second temperature sensor 40 measure the skin temperature of the user. For example, the first temperature sensor 20 and the second temperature sensor 40 perform temperature measurement using a thermistor.
[0042] The LED sensor unit 30 measures vital data such as the user's heart rate and SpO2 by controlling the illumination of the LEDs. The LED sensor unit 30 has an infrared LED 31, a photodiode A 32, a red LED 33, a photodiode B 34, and a green LED 35, and measures vital data corresponding to each wavelength. Note that the configuration of the LED sensor unit 30 is not limited to that shown in FIG. 5, and any known configuration may be used as long as it is capable of measuring vital data.
[0043] 3 to 5 show the configuration of the measuring device 10, but the configuration of the measuring device 10 is not limited to the examples shown in the drawings. For example, the measuring device 10 may include various sensors not shown in Fig. 5. Specifically, the measuring device 10 may include an acceleration sensor.
[0044] The measuring device 10 can use acceleration data obtained by incorporating an acceleration sensor to determine, for example, the user's body movement, body orientation, waking up, falling asleep, primary awakening, sleep state, etc. This allows the measuring device 10 to estimate whether the temperature, pulse wave data, etc. obtained from the user are from sleep, a primary awakening, before falling asleep, or after waking up. As a result, the measuring device 10 can accurately monitor the human body by using only data from sleep, when there is little external disturbance.
[0045] (1-3. Configuration of the Calculation Server According to the Embodiment) Next, the configuration of the calculation server 100 will be described with reference to Fig. 6. Fig. 6 is a diagram showing an example of the configuration of the calculation server 100 according to the embodiment.
[0046] As shown in FIG. 6, the calculation server 100 includes a communication unit 110, a storage unit 120, and a control unit .
[0047] The communication unit 110 is realized by, for example, a network interface controller, etc. The communication unit 110 is connected to a network N by wire or wirelessly, and transmits and receives information to and from the measuring device 10, the user terminal 200, etc. via the network N.
[0048] The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The measurement data storage unit 121 stores vital data and temperature data measured by the measurement device 10. Note that the information stored in the measurement data storage unit 121 does not necessarily have to be held by the calculation server 100 itself, and may be held in, for example, a data server on the cloud.
[0049] The control unit 130 is realized by, for example, a CPU, an MPU, a GPU, or the like executing a program stored in the calculation server 100 using a RAM or the like as a work area. The control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or an FPGA.
[0050] As shown in FIG. 6, the control unit 130 includes an acquisition unit 131, a calculation unit 132, and an output unit 133.
[0051] The acquisition unit 131 acquires vital data and temperature data of the user from the measurement device 10 worn by the user.
[0052] The calculation unit 132 performs various calculation processes for controlling the operation of the measuring device 10 and for handling the vital data and temperature data measured by the measuring device 10. For example, the calculation unit 132 selects data to be treated as an appropriate value from the vital data and temperature data acquired by the acquisition unit 131 and performs calculations. Specifically, when selecting the user's skin temperature as data to be used in calculations, the calculation unit 132 selects the skin temperature measured at a specified time during the operation cycle of the LED sensor unit 30 when the LED sensor unit 30 stops operating.
[0053] Furthermore, the calculation unit 132 corrects, if necessary, the vital data and temperature data acquired by the acquisition unit 131. For example, the calculation unit 132 corrects the user's skin temperature acquired during the operation cycle of the LED sensor unit 30 by a temperature influence based on the operation of the LED sensor unit 30 during the operation cycle. Details of the processing by the calculation unit 132 will be described later using FIGS. 7 to 11.
[0054] The output unit 133 outputs the calculation result by the calculation unit 132. For example, the output unit 133 outputs the calculation result by the calculation unit 132 to the user terminal 200 so that the user can check the calculation result by the calculation unit 132 on the user terminal 200.
[0055] (1-4. Specific examples of biological information measurement processing) The biological information measurement process according to the embodiment will be described with reference to Fig. 7 to Fig. 11. Fig. 7 is a diagram (1) for explaining the first biological information measurement process.
[0056] 7 shows an example in which the measuring device 10 intermittently performs measurement using the LED sensor unit 30 to suppress the effect on the temperature sensor. Specifically, the measuring device 10 performs intermittent operation control, such as turning on the LED sensor unit 30 (driving the circuit) for about two minutes and then turning off the LED sensor unit 30 for about ten minutes. The measuring device 10 measures the user's biological information with this operation control as one cycle. Note that this operation control may be performed by the measuring device 10 or by the calculation server 100 that controls the measuring device 10.
[0057] 7, if one measurement cycle is from 1:14:15 to 1:26:05, the measurement device 10 measures the user's heart rate and SpO2 for two minutes from 1:14:15 when the LED sensor unit 30 is turned on. After that, the measurement device 10 turns off the LED sensor unit 30 for ten minutes from 1:16:15. At this time, the user's skin temperature, which is assumed to have risen due to the driving of the LED sensor unit 30, gradually decreases as the LED sensor unit 30 is turned off.
[0058] Then, the measurement device 10 measures the user's skin temperature using the first temperature sensor 20 for approximately the last two minutes of one measurement cycle (from 1:24:15 to 1:26:05).
[0059] The above processing will be described in more detail with reference to Fig. 8. Fig. 8 is a diagram (2) for explaining the first biological information measurement processing.
[0060] FIG. 8 shows an example of one measurement cycle taken between 1:38:45 and 1:50:45. As shown in FIG. 8, when the measurement device 10 turns on the LED sensor unit 30 to measure the user's heart rate and SpO2, the user's skin temperature also rises as the circuit is activated. During this time, the measurement device 10 does not measure the user's skin temperature or does not use the measured temperature data. Then, the measurement device 10 turns off the LED sensor unit 30 and measures the user's skin temperature after the user's skin temperature has sufficiently dropped (for example, when it has reached the same temperature as the temperature measured before the LED sensor unit 30 was activated), i.e., during the last two minutes of one measurement cycle.
[0061] In this way, the measuring device 10 does not acquire data on the user's skin temperature during the initial stages of temperature rise and fall, but acquires (adopts) temperature data from the final stage of one measurement cycle (12 minutes in the example of Figures 7 and 8).
[0062] An example of biological information measured by the first biological information measurement process is shown in Fig. 9. Fig. 9 is a diagram (3) for explaining the first biological information measurement process.
[0063] 9 shows an example of data measured by the measuring device 10 and stored in the storage unit 120 by the calculation server 100. For example, the values enclosed in boxes in the data shown in FIG. 9 indicate data intermittently or continuously measured by the measuring device 10 that the calculation server 100 has adopted as an appropriate value. As shown in FIG. 9, the calculation server 100 adopts the temperature data measured at the end of one measurement cycle (after 1:48:45) from the continuously measured temperature data. This allows the calculation server 100 to eliminate temperature data that is assumed to have risen due to the driving of the LED sensor unit 30, and to obtain the user's skin temperature as an appropriate value.
[0064] That is, the biological information measurement system 1 determines one measurement cycle and intermittently operates the LED sensor unit 30. This allows the biological information measurement system 1 to prevent the sensors from affecting each other's measured data even when using a device in which multiple sensors are placed close to each other.
[0065] The above-described one measurement cycle is an example, and an administrator or user of the biological information measurement system 1 can arbitrarily set the time for one cycle. Furthermore, the biological information measurement system 1 may not necessarily clearly define the time for the cycle, and may instead control the system to measure the skin temperature when it is determined that the effect of the temperature rise caused by the LED sensor unit 30 has ceased. Such control will be described as a second biological information measurement process using FIGS. 10 and 11.
[0066] FIG. 10 is a diagram (1) for explaining the second biological information measurement process. In the example shown in FIG. 10, the measurement device 10 intermittently performs measurement using the LED sensor unit 30, and measures the user's skin temperature when the temperature returns to a steady state (i.e., when the effect of the LED sensor unit 30 reaches its minimum and becomes saturated). As an example, the calculation server 100 acquires data continuously measured by the measurement device 10, and determines that the temperature has saturated when the temperature change at a predetermined timing (e.g., every minute) is less than 0.02°C. In this case, after determining that the temperature has saturated, the calculation server 100 measures the user's skin temperature for a predetermined time (e.g., 2 minutes), and then performs a measurement cycle in which the calculation server 100 drives the LED sensor unit 30.
[0067] The above processing will be described in more detail with reference to Fig. 11. Fig. 11 is a diagram (2) for explaining the second biological information measurement processing.
[0068] FIG. 11 shows an example in which the measurement device 10 turns off the LED sensor unit 30 at 1:29:15, and then the user's skin temperature reaches saturation after 1:32:45. The calculation server 100 adopts the user's skin temperature measured after this saturation state is observed as the appropriate value. After acquiring the user's skin temperature, the calculation server 100 or the measurement device 10 performs the next measurement cycle. That is, the biological information measurement system 1 performs the next measurement cycle. That is, the biological information measurement system 1 drives the LED sensor unit 30 to measure the user's heart rate and SpO2.
[0069] As described above, the biological information measurement system 1 does not necessarily have to fix the measurement cycle in time, and may perform measurement at a timing when it is assumed that the influence of temperature changes caused by the LED sensor unit 30 has disappeared.
[0070] It is expected that the time required to reach the minimum temperature value (saturation value) will vary depending on the individual characteristics and physical condition of each user. For this reason, the biological information measurement system 1 can more reliably obtain data that eliminates the influence of temperature by determining the saturation value for each measurement. The biological information measurement system 1 may measure the time required to reach the temperature saturation value for each user over a predetermined period (e.g., seven days) and learn the optimal on / off time of the LED sensor unit 30 for each individual user. This allows the biological information measurement system 1 to perform measurements that can flexibly respond to daily changes in the user's physical condition.
[0071] Note that the biological information measurement system 1 may make adjustments such as lengthening the time for which the LED sensor unit 30 is turned off when, for example, it is observed that the outside air temperature is affecting the time until the temperature reaches saturation as a result of accumulating measurement data over a predetermined period of time. The biological information measurement system 1 may also learn the operating time of the LED sensor unit 30 for each individual user's physique and body temperature, and may automatically set the operating time for a new user based on the learning results.
[0072] (1-5. Another example of biological information measurement processing) As described above, the biological information measurement system 1 can acquire temperature data that is not affected by the operating state of the LED sensor unit 30 by operating the LED sensor unit 30 intermittently. Typically, devices for acquiring biological information, wellness equipment, and wearable devices do not require high accuracy (for example, on the order of 0.01 degrees) for general human body temperature measurement. However, the biological information measurement system 1 can acquire human body temperature data with extremely high accuracy. For example, the biological information measurement system 1 can accurately distinguish temperature differences (approximately 0.3 degrees) that are required to distinguish the biphasic nature of human body temperature changes during a woman's menstrual cycle.
[0073] However, there are cases where it is desirable to acquire continuous vital data by continuously operating the LED sensor unit 30, rather than by intermittently operating the LED sensor unit 30. For example, devices used in medical settings and the like require highly accurate and continuous monitoring of vital data when detecting disruptions in the menstrual cycle at the onset of menopause, changes in skin temperature during hot flashes, or monitoring the condition of patients undergoing treatment.
[0074] In this case, the biological information measurement system 1 may operate the LED sensor unit 30 continuously rather than intermittently to measure vital data such as SpO2. Furthermore, even if the LED sensor unit 30 is operated continuously, it is desirable that the biological information measurement system 1 achieves highly accurate temperature measurement without being affected by heat generated by the operation of the LED sensor unit 30.
[0075] Therefore, the biological information measurement system 1 may perform a predetermined calculation (correction) on the measured temperature data and use the corrected data to obtain highly accurate temperature data. This process will be described below as a third biological information measurement process.
[0076] In this example, the measuring device 10 continuously measures the user's skin temperature using a temperature sensor. That is, the measuring device 10 measures both the user's temperature data when the LED sensor unit 30 is not operating (referred to as "first temperature data" for the sake of distinction) and the user's temperature data when the LED sensor unit 30 is operating (referred to as "second temperature data").
[0077] The biological information measurement system 1 acquires the user's temperature data by performing a predetermined correction process using the first temperature data and the second temperature data. For example, the biological information measurement system 1 acquires accurate temperature data of the user by performing a calculation process to correct the difference between the first temperature data and the second temperature data that is considered to be affected by the operation of the LED sensor unit 30.
[0078] An example of a specific processing flow is as follows. That is, the measuring device 10 turns off the LED sensor unit 30 for about 10 minutes. Thereafter, the measuring device 10 performs continuous operation control, turning on the LED sensor unit 30 for about 1 hour. The measuring device 10 continues this operation control, continuously measuring the user's biological information, until the measurement ends automatically or until the user intentionally ends the measurement. Note that time information during the measurement is acquired by, for example, the measuring device 10. That is, the measuring device 10 acquires information from the microcomputer of the control unit 13 about the time when the LED sensor unit 30 starts to emit light for pulse wave measurement and the time until the light emission ends.
[0079] Next, the calculation server 100 calculates the difference between the acquired first temperature data and second temperature data, and performs a correction by subtracting the increased temperature. For example, the calculation server 100 subtracts from the second temperature data an amount estimated to be increased by heat generated by the LED light and propagating through the space inside the electronic circuit board or the housing, to calculate the normal temperature data. The calculation process may be performed by the calculation server 100, by a microcomputer in the control unit 13 in the measuring device 10, or by an external server system that acquires the temperature data from the measuring device 10.
[0080] The above process will be specifically described with reference to Fig. 12 and Fig. 13. Fig. 12 is a diagram (1) for explaining the third biological information measurement process. In the example shown in Fig. 12, the measurement device 10 continuously measures the skin temperature of the user using a temperature sensor.
[0081] In the example of FIG. 12, the temperature sensor of the measuring device 10 is constantly operating and measures the user's skin temperature. Meanwhile, the LED sensor unit 30 is in a non-emitting state for 10 minutes from 10:20:00 to 10:30:00. During this time, the LED sensor unit 30 does not measure vital data such as the user's heart rate and SpO2. After that, the LED sensor unit 30 emits light for approximately one hour after 10:30:00.
[0082] As described above, the first temperature data is the temperature measured when the LED sensor unit 30 is not operating, i.e., when the LED is not emitting light. In the example of FIG. 12, the LED is not emitting light until 10:30:00, and the measuring device 10 measures the first temperature data during this time. On the other hand, after 10:30:00, the LED is emitting light, and the measuring device 10 measures the second temperature data. As shown in FIG. 12, the second temperature data is affected by the operation of the LED sensor unit 30, and therefore exhibits an increase of approximately 0.1°C compared to the first temperature data. Furthermore, after the LED is emitting light, the measuring device 10 continuously measures vital signs such as heart rate and SpO2.
[0083] The processing of the biological information measuring system 1 after the various data have been obtained as described above will be described with reference to Fig. 13. Fig. 13 is a diagram (2) for explaining the third biological information measuring processing.
[0084] FIG. 13 shows an example in which the biological information measurement system 1 performs correction processing on the second temperature data shown in FIG. 12 to obtain post-processed temperature data that is estimated to be an accurate skin temperature of the user.
[0085] The second temperature data can be said to be data that includes the temperature rise caused by the operation of the LED sensor unit 30 relative to the actual skin temperature of the user. The temperature rise of the LED sensor unit 30 is caused, for example, by heat generated by the electronic components and circuit board due to light emission. As a result, the LED sensor unit 30 affects the rise in temperature of the entire measurement device 10 including the LED sensor unit 30.
[0086] The heat generated by the LED sensor unit 30 comes from the electronic components and circuit boards due to light emission. Therefore, if the current is constant, the amount of heat generated will be constant, and the temperature rise will also be constant. Therefore, if the components and circuit boards used in the LED sensor unit 30, the current value of the LED sensor unit 30, etc. are predetermined, the temperature rise value when the LED is emitting light can also be determined. That is, the calculation server 100 can obtain post-processed temperature data, which is corrected temperature data, by subtracting the temperature rise value from the second temperature data. This allows the calculation server 100 to obtain accurate user temperature data that is free from the effects of the operation of the LED sensor unit 30. That is, the biological information measurement system 1 acquires first temperature data using the LED non-emitting state up to the time "10:30:00" shown in FIG. 13 as a "pre-measurement." Thereafter, the biological information measurement system 1 continuously emits light from the LED to acquire vital data after the time "10:30:00," and also performs a "main measurement" in which the second temperature data is continuously acquired. Furthermore, the biological information measuring system 1 can obtain post-processing temperature data, which is corrected data, from the difference between the obtained first temperature data and second temperature data.
[0087] The calculation of the correction process is not limited to the above, and various methods are possible. That is, if the biological information measurement system 1 can acquire the temperature influence component based on the operation of the LED sensor unit 30 by some means, it can correct the second temperature data with the temperature influence component, thereby acquiring the accurate user skin temperature (post-processed temperature data) while continuously acquiring vital data.
[0088] For example, the calculation server 100 may obtain the temperature rise value as the temperature influence component based on statistical data accumulated from the measurement device 10, even if the calculation server 100 does not previously acquire the temperature rise value due to the operation of the LED sensor unit 30. That is, as shown in FIG. 12, when measurements are performed over a certain period of time, data is accumulated showing how much influence the operation of the LED sensor unit 30 has on the user's skin temperature. Therefore, even if the temperature data is measured immediately after the operation of the LED sensor unit 30, the calculation server 100 can obtain temperature data that can be treated as an appropriate value by performing a calculation to subtract the heat generated by the LED sensor unit 30 in post-processing.
[0089] For example, the calculation server 100 may use the difference between the first temperature data measured with the LEDs off and the second temperature data measured subsequently as the temperature rise value used for correction. In this case, the first temperature data and the second temperature data may be average values over the measurement time or representative values at any time. The calculation server 100 can calculate the post-processing temperature data by subtracting the calculated temperature rise value from the second temperature data.
[0090] Furthermore, depending on the structure, components, type of circuit board, current value, etc., of the LED sensor unit 30, the temperature may continue to rise when the LED sensor unit 30 is operated. In this case, the calculation server 100 may calculate the temperature rise in real time based on data acquired from the measurement device 10 and subtract the calculated heat generation amount. For example, when the calculation server 100 measures the second temperature data after measuring the first temperature data, if the measured temperature exceeds a predetermined threshold, the calculation server 100 may perform preprocessing on the temperature data that continues to rise above the threshold to align it with the threshold. In this case, the calculation server 100 can obtain accurate post-processed temperature data by performing a correction process on the pre-processed data, eliminating the influence of the temperature rise due to the continuous operation of the LED sensor unit 30.
[0091] As described above, the bio-information measuring system 1 can achieve highly accurate temperature measurement by performing a correction process that subtracts the temperature effect caused by the light emission of the LED sensor unit 30 from the temperature data when the LED sensor unit 30 is emitting light.
[0092] The data acquired by the measuring device 10 may be transmitted to any external server, not limited to the calculation server 100 or the user terminal 200. For example, it is assumed that the measuring device 10 may be used simultaneously by many users in a medical institution, etc. In such a case, the multiple measuring devices 10 transmit the measured data to an external server via a gateway device that manages communications in a given area (such as a ward) in the medical institution. For example, the multiple measuring devices 10 may aggregate data acquired from each user in a gateway device via a smartphone, tablet, or the like used by each user, and then transmit the aggregated data to an external server. This allows medical providers to continuously and efficiently acquire accurate vital data of many patients (users).
[0093] (2. Modifications of the embodiment) In the above embodiment, the biological information measurement system 1 has been described as an example in which the measuring device 10, the calculation server 100, and the user terminal 200 cooperate to execute processing. However, the configuration of the biological information measurement system 1 is not limited to this. For example, the measuring device 10 may execute the biological information measurement processing according to the embodiment (e.g., the measurement data selection processing and the correction calculation processing executed by the calculation server 100 in the embodiment) by itself. In other words, the calculation device according to the present disclosure is not limited to the calculation server 100, but may be the measuring device 10, the user terminal 200, or an external server other than these.
[0094] Furthermore, the measuring device 10 may control the on / off of the LED sensor unit 30 by itself, or may control the on / off of the LED sensor unit 30 by remote control from the calculation server 100. Alternatively, a user may use an app installed on the user terminal 200 to set the on / off control of the measuring device 10. In other words, the device configuration shown in the embodiment is an example and can be flexibly modified.
[0095] In the embodiment, the biological information measurement system 1 measures the heart rate, SpO2, and skin temperature as the user's biological information, but the biological information is not limited to this. That is, in a device such as the measurement device 10 that is required to be small so that it can be worn by a user and has a configuration in which multiple sensors are arranged closely together, the biological information measurement according to the present disclosure can be applied regardless of the type of biological information to be acquired.
[0096] In the above-described process, the measurement process is distinguished by the terms "continuous" and "intermittent." "Continuous" includes the meaning of "a continuous event for a fixed period of time, where the duration of the continuous event can be varied." "Intermittent" includes the meaning of "an event in which operation and inactivity are repeated at fixed time intervals, where the ratio of the operation time to the inactivity time can be varied." "Intermittent" does not only include a fixed cycle, but also includes a random repetition of operation and inactivity. In optical sensors such as the LED sensor unit 30, extremely short-term pulsed light emission (a state in which light appears to be constantly emitting light, but is actually pulsating (intermittently) upon closer examination of the time interval) may be observed. In the technology disclosed herein, "intermittent" does not refer to such extremely short-term intermittent light emission, but rather refers to switching between an on state and an off state over a certain duration (e.g., 10 seconds or more), as shown in FIG. 7 and other figures.
[0097] The above process mainly describes the process of correcting the heat generated by the LED sensor unit 30 for the first temperature sensor 20 that measures the user's skin temperature. However, it is conceivable that the second temperature sensor 40 that measures the outside air temperature will also be affected by the heat generated by the LED sensor unit 30. Since the user's core body temperature may be calculated from the outside air temperature and the user's skin temperature, it is desirable to also take into account the effect of the second temperature sensor 40 on the outside air temperature.
[0098] Any method may be used to calculate the user's core body temperature based on the outside air temperature and the user's skin temperature. For example, the calculation server 100 estimates the core body temperature based on the corrected skin temperature data and the corrected outside air temperature. Specifically, the calculation server 100 can calculate the core body temperature Tb by substituting the acquired skin temperature Ts and the outside air temperature Ta into the following formula (1). In the following formula (1), "K" represents the coefficient of thermal conductivity (the thermal resistance value from the deep part of the user's trunk, such as the chest, to the skin divided by the thermal resistance value of the measurement device 10). Tb = K(Ts-Ta)+Ts (1)
[0099] The method for calculating the core body temperature is not limited to the above, and for example, a known technique by the same applicant as in the present disclosure (for example, Japanese Patent No. 6945935, etc.) may be used.
[0100] (3. Other embodiments) The processing according to the above-described embodiment may be implemented in various different forms other than the above embodiment.
[0101] For example, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using a known method. Furthermore, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.
[0102] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.
[0103] Furthermore, the above-described embodiments and modifications can be combined as appropriate within the scope of not causing any contradiction in the processing content.
[0104] Furthermore, the effects described in this specification are merely examples and are not limiting, and other effects may also be present.
[0105] 4. Effects of the Biological Information Measuring Device and Biological Information Measuring System According to the Present Disclosure As described above, the bioinformation measuring device (measuring device 10 in the embodiment) according to the present disclosure includes a temperature sensor (first temperature sensor 20 in the embodiment) that measures skin temperature, an LED sensor (LED sensor unit 30 in the embodiment) that measures vital data, and a control unit (control unit 13 in the embodiment) that measures user information using the temperature sensor and LED sensor. The temperature sensor and LED sensor are arranged on the same surface of the bioinformation measuring device that comes into contact with the body surface of the user wearing the bioinformation measuring device. The control unit continuously measures the user's skin temperature using the temperature sensor and intermittently operates the LED sensor to measure the user's vital data. For example, the LED sensor is arranged in the bioinformation measuring device so that its planar distance from the center of the temperature sensor is within 30 millimeters.
[0106] In this way, the bioinformation measuring device disclosed herein operates the LED sensor intermittently and measures temperature while eliminating the effects of the temperature rise caused by its operation, so that even if multiple sensors are placed close to each other, the measured data can be prevented from being affected.
[0107] Furthermore, a biological information measurement system (biological information measurement system 1 in the embodiment) according to the present disclosure includes a biological information measurement device and a calculation device (calculation server 100 in the embodiment). The calculation device includes an acquisition unit (acquisition unit 131 in the embodiment) that acquires user information measured by the biological information measurement device, and a calculation unit (calculation unit 132 in the embodiment) that selects data to be used for calculation from the user information and performs calculation.
[0108] When selecting the user's skin temperature as data to be used for calculation, the calculation unit selects the skin temperature measured at a specified time during the LED sensor's operating cycle when the LED sensor stops operating. This allows the biological information measurement system to obtain an appropriate skin temperature that is not affected by the operation of the LED sensor.
[0109] Alternatively, the calculation unit may correct the user's skin temperature acquired during the operation cycle of the LED sensor by the temperature influence based on the operation of the LED sensor during the operation cycle. This allows the biological information measurement system to continuously acquire appropriate temperature data, rather than just temperature data for a portion of one measurement cycle.
[0110] In addition, the bio-information measuring device may be configured to continuously measure the user's skin temperature using a temperature sensor, and to measure both the user's first temperature data when the LED sensor is not operating and the user's second temperature data when the LED sensor is operating.
[0111] In this way, the biological information measuring device measures both temperature data affected by the LED sensor and temperature data not affected by the LED sensor, allowing a downstream processing server or the like to perform correction processing. This allows the biological information measuring device to measure the user's skin temperature with high accuracy even when the LED sensor is operated continuously.
[0112] In addition, the calculation unit of the calculation device may be configured to calculate the user's skin temperature when the vital data is obtained by correcting the second temperature data acquired by the acquisition unit with a temperature influence based on the operation of the LED sensor.
[0113] The acquisition unit and calculation unit of the biological information measurement system may also be configured as follows: The acquisition unit acquires second temperature data measured when vital data is continuously obtained as information of the user measured by the biological information measurement device. The calculation unit calculates the user's skin temperature when the vital data is obtained by correcting the acquired second temperature data with a temperature influence based on the operation of the LED sensor.
[0114] In this way, the biological information measurement system can calculate the skin temperature excluding the influence of the LED sensor by subtracting the temperature rise caused by the operation of the LED sensor from the second temperature data. This allows the biological information measurement system to measure the user's skin temperature with high accuracy even when the LED sensor is operated continuously.
[0115] (5. Hardware Configuration) The information equipment such as the calculation server 100 and the measurement device 10 according to the above-described embodiments is realized by a computer 1000 having a configuration as shown in FIG. 14, for example. The calculation server 100 according to the embodiment will be described below as an example. FIG. 14 is a hardware configuration diagram showing an example of the computer 1000 that realizes the functions of the calculation server 100. The computer 1000 has a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, an HDD (Hard Disk Drive) 1400, a communication interface 1500, and an input / output interface 1600. The components of the computer 1000 are connected by a bus 1050.
[0116] The CPU 1100 operates and controls each unit based on programs stored in the ROM 1300 or the HDD 1400. For example, the CPU 1100 loads the programs stored in the ROM 1300 or the HDD 1400 into the RAM 1200 and executes processing corresponding to the various programs.
[0117] The ROM 1300 stores boot programs such as a Basic Input Output System (BIOS) executed by the CPU 1100 when the computer 1000 is started, and programs that depend on the hardware of the computer 1000 .
[0118] The HDD 1400 is a computer-readable recording medium that non-temporarily records programs executed by the CPU 1100 and data used by the programs. Specifically, the HDD 1400 is a recording medium that records a program that executes a biological information measurement process according to the present disclosure, which is an example of program data 1450.
[0119] The communication interface 1500 is an interface for connecting the computer 1000 to an external network 1550 (e.g., the Internet). For example, the CPU 1100 receives data from other devices and transmits data generated by the CPU 1100 to other devices via the communication interface 1500.
[0120] The input / output interface 1600 is an interface for connecting the input / output device 1650 and the computer 1000. For example, the CPU 1100 receives data from an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 also transmits data to an output device such as a display, a speaker, or a printer via the input / output interface 1600. The input / output interface 1600 may also function as a media interface for reading programs and the like recorded on a predetermined recording medium. Examples of media include optical recording media such as a DVD (Digital Versatile Disc) or a PD (Phase Change Rewritable Disk), magneto-optical recording media such as an MO (Magneto-Optical disk), tape media, magnetic recording media, and semiconductor memories.
[0121] For example, when the computer 1000 functions as the calculation server 100 according to the embodiment, the CPU 1100 of the computer 1000 executes a biological information measurement processing program loaded onto the RAM 1200, thereby realizing functions of the control unit 130, etc. Also, the HDD 1400 stores a program for executing the biological information measurement processing according to the present disclosure and data in the storage unit 120. Note that the CPU 1100 reads and executes program data 1450 from the HDD 1400, but as another example, these programs may be acquired from another device via an external network 1550.
[0122] The above describes the embodiments of the present application in detail based on the drawings, but these are merely examples, and the present invention can be implemented in other forms that include the embodiments described in the Disclosure of the Invention section and that have been modified and improved in various ways based on the knowledge of those skilled in the art. [Explanation of symbols]
[0123] 1. Biological information measurement system 10 Measuring Devices 13 Control Unit 20 First temperature sensor 30 LED sensor unit 40 Second temperature sensor 100 computing servers 110 Communications Department 120 Storage section 130 Control Unit 131 Acquisition Department 132 Arithmetic section 133 Output section 200 user terminals
Claims
1. a temperature sensor for measuring skin temperature; An LED sensor that measures vital data; a control unit that measures information of a user using the temperature sensor and the LED sensor, the temperature sensor and the LED sensor are disposed on the same surface of the biological information measuring device that comes into contact with a body surface of the user wearing the biological information measuring device; The control unit continuously measures the skin temperature of the user using the temperature sensor and intermittently operates the LED sensor to measure the vital data of the user. A biological information measuring device characterized by:
2. a temperature sensor for measuring skin temperature; An LED sensor that measures vital data; a control unit that measures information of a user using the temperature sensor and the LED sensor, the LED sensor is disposed in the biological information measuring device so that a planar distance from the center of the temperature sensor is within 30 millimeters, The control unit intermittently operates the LED sensor to measure vital data of the user while continuously measuring the skin temperature of the user using the temperature sensor. A biological information measuring device characterized by:
3. A biological information measuring system including the biological information measuring device according to claim 1 or 2 and a computing device, The computing device an acquisition unit that acquires information about the user measured by the biological information measuring device; a calculation unit that selects data to be used for calculation from the user information and performs the calculation; The calculation unit When selecting the skin temperature of the user as the data to be used in the calculation, the skin temperature measured at a specified time when the LED sensor stops operating in the operating cycle of the LED sensor is selected. A biological information measuring system characterized by:
4. A biological information measuring system including the biological information measuring device according to claim 1 or 2 and a computing device, The computing device an acquisition unit that acquires information about the user measured by the biological information measuring device; a calculation unit that corrects the user information into data to be used for calculation and performs calculation, The calculation unit correcting the skin temperature of the user acquired during an operation cycle of the LED sensor with a temperature influence based on the operation of the LED sensor during the operation cycle; A biological information measuring system characterized by:
5. a biological information measuring device including a temperature sensor for measuring skin temperature and an LED sensor for measuring vital data, the temperature sensor and the LED sensor being disposed on the same surface of the biological information measuring device that comes into contact with the body surface of a user wearing the biological information measuring device; a calculation device; and a biological information measurement method executed by the biological information measurement system including the calculation device, The bioinformation measuring device When measuring user information using the temperature sensor and the LED sensor, the temperature sensor is used to continuously measure the user's skin temperature, and the LED sensor is operated intermittently to measure the user's vital data; The computing device Acquire information about the user measured by a biological information measuring device; selecting data to be used for calculation from the information of the user and performing calculation; and when selecting the skin temperature of the user as the data to be used for the calculation, selecting the skin temperature measured at a specified time when the LED sensor stops operating in the operating cycle of the LED sensor. A biological information measuring method comprising:
6. a biological information measuring device including a temperature sensor for measuring skin temperature and an LED sensor for measuring vital data, the temperature sensor and the LED sensor being disposed on the same surface of the biological information measuring device that comes into contact with the body surface of a user wearing the biological information measuring device; a calculation device; and a biological information measurement method executed by the biological information measurement system including the calculation device, The bioinformation measuring device When measuring user information using the temperature sensor and the LED sensor, the temperature sensor is used to continuously measure the user's skin temperature, and the LED sensor is operated intermittently to measure the user's vital data; The computing device Acquire information about the user measured by a biological information measuring device; correcting the user's information into data to be used for calculation, and further correcting the user's skin temperature acquired during an operation cycle of the LED sensor with a temperature influence based on the operation of the LED sensor during the operation cycle; A biological information measuring method comprising:
7. Computer, a biological information measuring device including a temperature sensor for measuring skin temperature and an LED sensor for measuring vital data, the temperature sensor and the LED sensor being disposed on the same surface of the biological information measuring device that comes into contact with the body surface of a user wearing the biological information measuring device; a computing device; and a biological information measurement program that causes the biological information measurement system to function as the biological information measurement system, The bioinformation measuring device When measuring user information using the temperature sensor and the LED sensor, the temperature sensor is used to continuously measure the user's skin temperature, and the LED sensor is operated intermittently to measure the user's vital data; The computing device Acquire information about the user measured by a biological information measuring device; data to be used for calculation is selected from the information of the user, and calculation is performed; and when selecting the skin temperature of the user as the data to be used for the calculation, the skin temperature measured at a specified time when the LED sensor stops operating in the operating cycle of the LED sensor is selected. A biometric measurement program that functions as follows.
8. Computer, a biological information measuring device including a temperature sensor for measuring skin temperature and an LED sensor for measuring vital data, the temperature sensor and the LED sensor being disposed on the same surface of the biological information measuring device that comes into contact with the body surface of a user wearing the biological information measuring device; a computing device; and a biological information measurement program that causes the biological information measurement system to function as the biological information measurement system, The bioinformation measuring device When measuring user information using the temperature sensor and the LED sensor, the temperature sensor is used to continuously measure the user's skin temperature, and the LED sensor is operated intermittently to measure the user's vital data; The computing device Acquire information about the user measured by a biological information measuring device; correcting the user's information into data to be used for calculation, and further correcting the user's skin temperature acquired during an operation cycle of the LED sensor with a temperature influence based on the operation of the LED sensor during the operation cycle; A biometric measurement program that functions as follows.
9. A temperature sensor that measures skin temperature, an LED sensor that measures vital data, a control unit that measures information of a user using the temperature sensor and the LED sensor, the temperature sensor and the LED sensor are disposed on the same surface of the biological information measuring device that comes into contact with a body surface of the user wearing the biological information measuring device; The control unit continuously measures the skin temperature of the user using the temperature sensor, and also measures both first temperature data of the user when the LED sensor is not operated and second temperature data of the user when the LED sensor is operated continuously. A biological information measuring device characterized by:
10. A temperature sensor that measures skin temperature, an LED sensor that measures vital data, a control unit that measures information of a user using the temperature sensor and the LED sensor, the LED sensor is disposed in the biological information measuring device so that a planar distance from the center of the temperature sensor is within 30 millimeters, The control unit continuously measures the skin temperature of the user using the temperature sensor, and also measures both first temperature data of the user when the LED sensor is not operated and second temperature data of the user when the LED sensor is operated continuously. A biological information measuring device characterized by:
11. A biological information measuring system including the biological information measuring device according to claim 9 or 10 and a computing device, The computing device an acquisition unit that acquires, as information of the user measured by the biological information measuring device, the second temperature data measured when the vital data is continuously obtained; a calculation unit that calculates the skin temperature of the user when the vital data is obtained by correcting the acquired second temperature data with a temperature influence based on the operation of the LED sensor; and A biological information measuring system comprising:
12. a biological information measuring device including a temperature sensor for measuring skin temperature and an LED sensor for measuring vital data, the temperature sensor and the LED sensor being disposed on the same surface of the biological information measuring device that comes into contact with the body surface of a user wearing the biological information measuring device; a calculation device; and a biological information measurement method executed by the biological information measurement system including the calculation device, The bioinformation measuring device acquiring second temperature data, which is information about the user measured by the biological information measuring device and is temperature data when the LED sensor is operated, from continuously measured temperature data of the user; The acquired second temperature data is corrected by a temperature influence component based on the operation of the LED sensor, thereby calculating the skin temperature of the user when the vital data was obtained. A biological information measuring method characterized by:
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