Biological information display system, method, and program

Abstract

This biological information display system comprises: a biological information acquisition device (12) for acquiring biological information of a user; a processing device (8) for generating a monitoring image for displaying the biological information; and a display device (9) for displaying the monitoring image. The monitoring image includes an analog clock image with a 24-hour cycle, and a color map image that is disposed concentrically around the clock image and displays temporal variations in the biological information using colors.

Description

Biological information display system, method, and program

[0001] The present invention relates to a biological information display system, a method, and a program for displaying periodic biological information.

[0002] Biological phenomena change significantly due to the time-series interactions between physiological phenomena such as sleep, wakefulness, excretion, and hormone secretion, behaviors such as diet and exercise, and environmental factors such as sunlight. Therefore, monitoring and comparing time-series data on physiological phenomena, diet, behavior, and the environment in daily life is effective for managing human health. For example, blood glucose levels rise differently depending on the order in which we eat, the timing of exercise, or our senses. Therefore, visualizing the timing of meals and exercise is useful. Biological phenomena often exhibit periodicity, and fluctuations in many biological phenomena are thought to be self-excited oscillations. These periodic fluctuations in biological phenomena are collectively referred to as biological rhythms (see Non-Patent Document 1).

[0003] Biological rhythms are divided into several types based on their cycles, ranging from long cycles of one year to short cycles of just a few seconds (see Non-Patent Document 2). Humans become more alert and active during the light period, and less alert and rest during the dark period. These daily rhythms are called circadian rhythms to distinguish them from other periodic rhythms (see Non-Patent Document 3).

[0004] Our circadian clock is regulated by stimuli such as light and food, and beats in rhythm in synchronization with the 24-hour cycle of the Earth's rotation. Our circadian clock is closely related to our health. Regulating our circadian clock through regular lifestyle habits can help prevent lifestyle-related diseases. For example, core body temperature exhibits a circadian rhythm: it drops significantly during sleep, reaches its lowest temperature two to three hours before waking, and then rises toward awakening. The phase of this rhythm has attracted attention as an indicator of our circadian clock. The secretion of insulin, a hormone that promotes blood glucose absorption, exhibits a circadian rhythm: it is secreted more in the morning and declines toward the evening. Therefore, blood glucose levels rise less in the morning and more easily at night (see Non-Patent Document 4). Therefore, monitoring both our circadian clock and blood glucose levels is useful for managing glucose metabolism.

[0005] Conventionally, measuring a person's sleep state, activity level, blood pressure, and other biological information and displaying the results has been extremely useful for correctly understanding the current situation and recognizing problems when people try to improve their lifestyles. Also, measuring and displaying such information is extremely useful for doctors treating patients, allowing them to correctly understand the progress of the patient and confirm the effectiveness of treatment.

[0006] When displaying periodic biological information, it is desirable to display the biological information together with its period, as this allows the observer to more easily grasp the displayed content. However, the conventional bar graph display has the problem that it is difficult to grasp at a glance what time of day the display is during a 24-hour period, making it difficult to intuitively grasp periodic biological information.

[0007] Kenichi Homma, “Biorhythms as Health Indicators,” Japan Ergonomics Society, Ergonomics, Vol. 30, No. 5, pp. 275-280, 1994, <https: / / www.jstage.jst.go.jp / article / jje1965 / 30 / 5 / 30_5_275 / _pdf> Kuniaki Otsuka, “Biorhythm Modulation and Heart Disease,” Japan Heart Foundation, Heart, Vol. 43, No. 2, pp. 127-131, 2011, <https: / / www.jstage.jst.go.jp / article / shinzo / 43 / 2 / 43_127 / _pdf / -char / ja> Naohiro Kane, Yoshi Fukada Takashi, "Biological clocks and body rhythms," Japan Science Cooperation Foundation, Academic Trends, vol. 24, no. 8, pp. 8-19, 2019, <https: / / www.jstage.jst.go.jp / article / tits / 24 / 8 / 24_8_8 / _pdf> Shigenori Shiba, "Metabolic regulation by the biological clock and metabolic syndrome," Pharmaceutical Society of Japan, Pharmacia, vol. 47, no. 7, pp. 627-630, 2011, <https: / / www.jstage.jst.go.jp / article / faruawpsj / 47 / 7 / 47_KJ00009749934 / _pdf>

[0008] The present invention has been made to solve the above-mentioned problems, and aims to provide a bioinformation display system, method, and program that allows intuitive understanding of bioinformation and its period when displaying periodic bioinformation.

[0009] The biometric information display system of the present invention comprises a biometric information acquisition device configured to acquire a user's biometric information, an image generation unit configured to generate a monitoring image for displaying the biometric information, and a display unit configured to display the monitoring image, wherein the monitoring image includes an analog clock image with a 24-hour cycle and a first color map image arranged in a concentric ring around the clock image and displaying the temporal variation of the biometric information in color.

[0010] A biological information display method of the present invention includes a first step of acquiring a user's biological information, a second step of generating a monitoring image for displaying the biological information, and a third step of displaying the monitoring image, wherein the monitoring image includes an analog clock image with a 24-hour cycle and a color map image arranged in a concentric ring around the clock image and displaying time variations of the biological information in color.A biological information display program of the present invention is characterized by causing a computer to execute each of the steps described above.

[0011] According to the present invention, by displaying a monitoring image including an analog clock image with a 24-hour cycle and a first color map image arranged in a concentric ring around the clock image, it is possible to intuitively grasp biological information and its cycle.

[0012] FIG. 1 is a block diagram showing the configuration of a biological information display system according to an embodiment of the present invention. FIG. 2 is a block diagram showing the configuration of a deep body temperature acquisition device according to an embodiment of the present invention. FIG. 3 is a block diagram showing the configuration of a smartphone according to an embodiment of the present invention. FIG. 4 is a block diagram showing the configuration of a processing device according to an embodiment of the present invention. FIG. 5 is a flowchart explaining the operation of a biological information display system according to an embodiment of the present invention. FIG. 6 is a diagram showing an example of an image displayed on a smartphone according to an embodiment of the present invention. FIG. 7 is a flowchart showing a method of calculating the internal biological time and a method of determining whether the user is in good physical condition. FIG. 8 is a diagram showing how to calculate the minimum body temperature. FIG. 9A is a diagram showing example deep body temperature data. FIG. 9B is a diagram showing feature values ​​calculated from the data shown in FIG. 9A. FIG. 10 is a flowchart explaining another example of the operation of a biological information display system according to an embodiment of the present invention. FIG. 11 is a block diagram showing an example of the configuration of a computer that realizes a biological information display system according to an embodiment of the present invention.

[0013] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will now be described with reference to the accompanying drawings. Fig. 1 is a block diagram showing the configuration of a biological information display system according to an embodiment of the present invention. The biometric information display system is composed of a deep body temperature acquisition device 1 that measures the user's deep body temperature, a heart rate acquisition device 2 that measures the user's heart rate, a blood glucose level acquisition device 3 that measures the user's blood glucose level, a blood pressure acquisition device 4 that measures the user's blood pressure, an activity amount acquisition device 5 that measures the user's activity amount, an illuminance acquisition device 6 that measures the illuminance of the environment around the user, a behavior record input device 7 that records the user's behavior such as eating, sleeping, defecation, and exercise, a processing device 8 that processes information transmitted from the deep body temperature acquisition device 1, the heart rate acquisition device 2, the blood glucose level acquisition device 3, the blood pressure acquisition device 4, the activity amount acquisition device 5, the illuminance acquisition device 6, and the behavior record input device 7, a display device 9 that displays a monitoring image generated by the processing device 8, and a network 10 that interconnects the deep body temperature acquisition device 1, the heart rate acquisition device 2, the blood glucose level acquisition device 3, the blood pressure acquisition device 4, the activity amount acquisition device 5, the illuminance acquisition device 6, the behavior record input device 7, the processing device 8, and the display device 9.

[0014] The core body temperature acquisition device 1, the heart rate acquisition device 2, the blood glucose level acquisition device 3, and the blood pressure acquisition device 4 constitute a biological information acquisition device 12. The illuminance acquisition device 6 constitutes an environmental information acquisition device.

[0015] 2 is a block diagram showing the configuration of the deep body temperature acquisition device 1. The deep body temperature acquisition device 1 may be, for example, a wristwatch-type acquisition device worn on the user's arm. The deep body temperature acquisition device 1 includes a sensor unit 100 that measures the user's pulse wave, a calculation unit 101 that estimates the user's deep body temperature based on the pulse wave measured by the sensor unit 100, a memory unit 102 that stores the deep body temperature estimated by the calculation unit 101, a display unit 103 that displays the deep body temperature estimated by the calculation unit 101, and a transmission unit 104 that wirelessly transmits information about the deep body temperature estimated by the calculation unit 101 to the processing device 8 via the network 10.

[0016] However, in the present invention, it is not an essential component that the deep body temperature acquisition device 1 includes the display unit 103. The deep body temperature acquisition device 1 may be worn on a part of the body other than the user's arm. Furthermore, the deep body temperature may be estimated based on, for example, the user's body surface temperature instead of the user's pulse wave.

[0017] The heart rate acquisition device 2, blood glucose level acquisition device 3, blood pressure acquisition device 4, activity amount acquisition device 5, and illuminance acquisition device 6 are generally configured in the same manner as the deep body temperature acquisition device 1. In the heart rate acquisition device 2, the sensor unit 100 measures the user's blood flow. The calculation unit 101 estimates the user's heart rate based on the blood flow measured by the sensor unit 100. The memory unit 102 stores the heart rate estimated by the calculation unit 101. The transmission unit 104 wirelessly transmits information about the heart rate estimated by the calculation unit 101 to the processing device 8. The heart rate acquisition device 2 may be worn on a part of the body other than the user's arm, for example, on the chest. Furthermore, the heart rate may be estimated based on the user's electrocardiogram waveform, for example, rather than the user's blood flow.

[0018] In the case of the blood glucose level acquisition device 3, the sensor unit 100 irradiates light onto the surface of the user's skin and receives reflected or scattered light. The calculation unit 101 estimates the user's blood glucose level based on the intensity and wavelength of the light received by the sensor unit 100. The memory unit 102 stores the blood glucose level estimated by the calculation unit 101. The transmission unit 104 wirelessly transmits information on the blood glucose level estimated by the calculation unit 101 to the processing device 8. The blood glucose level acquisition device 3 may be worn on a different part of the body rather than on the user's arm. Alternatively, the blood glucose level may be estimated based on the glucose concentration measured by pricking a fine needle into the user's skin.

[0019] In the case of the blood pressure acquisition device 4, the sensor unit 100 measures the pulse wave of the user. The calculation unit 101 estimates the user's blood pressure based on the pulse wave measured by the sensor unit 100. The storage unit 102 stores the blood pressure estimated by the calculation unit 101. The transmission unit 104 wirelessly transmits information on the blood pressure estimated by the calculation unit 101 to the processing device 8. The blood pressure acquisition device 4 may be worn on a part of the user's body other than the user's arm.

[0020] In the case of the activity amount acquisition device 5, the sensor unit 100 measures the acceleration of the user. The calculation unit 101 estimates the user's activity amount (calories burned, number of steps, distance traveled) based on the acceleration measured by the sensor unit 100. The storage unit 102 stores the activity amount estimated by the calculation unit 101. The transmission unit 104 wirelessly transmits information on the activity amount estimated by the calculation unit 101 to the processing device 8. The activity amount acquisition device 5 may be worn on a part of the user's body other than the user's arm.

[0021] In the case of the illuminance acquisition device 6, the sensor unit 100 receives light illuminating the user. The calculation unit 101 calculates the illuminance based on the amount of light received by the sensor unit 100. The storage unit 102 stores the illuminance calculated by the calculation unit 101. The transmission unit 104 wirelessly transmits information about the illuminance calculated by the calculation unit 101 to the processing device 8. The illuminance acquisition device 6 may be worn on a part of the user's body other than the user's arm.

[0022] The core body temperature acquisition device 1, heart rate acquisition device 2, blood glucose level acquisition device 3, blood pressure acquisition device 4, activity level acquisition device 5, and illuminance acquisition device 6 may be implemented together in, for example, a single wristwatch-type device that can be worn on the user's arm.

[0023] In this embodiment, a case will be described in which the behavior record input device 7 and the display device 9 are integrated into, for example, a single smartphone. Fig. 3 is a block diagram showing the configuration of the smartphone. The smartphone 11 includes a control unit 110 that controls the entire smartphone, a display unit 111 with a touch panel function, a transmission unit 112 that wirelessly transmits behavior record information input by the user to the processing device 8 via the network 10, a reception unit 113 that receives images transmitted from the processing device 8, a storage unit 114, and a clock unit 115.

[0024] The control unit 110 includes an image generation unit 1110 that generates icon images for inputting the user's behavior record (eating, sleeping, waking up, etc.), an input unit 1111 that accepts user input, a display control unit 1112 that displays the icon images and images transmitted from the processing device 8 on the display unit 111, and a request processing unit 1113. The display unit 111, the image generation unit 1110, the input unit 1111, the display control unit 1112, and the transmission unit 112 constitute the behavior record input device 7. The display unit 111, the display control unit 1112, and the reception unit 113 constitute the display device 9.

[0025] 4 is a block diagram showing the configuration of the processing device 8. The processing device 8 includes a receiving unit 80 that receives information from the deep body temperature acquisition device 1, the heart rate acquisition device 2, the blood glucose level acquisition device 3, the blood pressure acquisition device 4, the activity amount acquisition device 5, the illuminance acquisition device 6, and the behavior record input device 7 via the network 10, a biological time calculation unit 81 that calculates the user's biological time based on the deep body temperature, an alarm generation unit 82 that determines the user's physical condition based on the deep body temperature, an image generation unit 83 that generates a monitoring image for displaying the user's biological information (core body temperature, heart rate, blood glucose level, blood pressure), activity amount, environmental information (illuminance), behavior record, and alarm, a transmission unit 84 that wirelessly transmits the monitoring image to the smartphone 11 (display device 9) via the network 10, a memory unit 85, and a clock unit 86.

[0026] 5 is a flowchart illustrating the operation of the biological information display system. First, each of the core body temperature acquisition device 1, heart rate acquisition device 2, blood glucose level acquisition device 3, blood pressure acquisition device 4, activity amount acquisition device 5, illuminance acquisition device 6, behavior record input device 7, and display device 9 transmits a communication request to establish communication with the processing device 8 (step S100 in FIG. 5).

[0027] The receiving unit 80 of the processing device 8 performs a predetermined authentication process when it receives a communication request from each of the deep body temperature acquisition device 1, heart rate acquisition device 2, blood glucose level acquisition device 3, blood pressure acquisition device 4, activity amount acquisition device 5, illuminance acquisition device 6, behavior record input device 7, and display device 9 (step S101 in FIG. 5). If the authentication is successful, the receiving unit 80 establishes communication with the deep body temperature acquisition device 1, heart rate acquisition device 2, blood glucose level acquisition device 3, blood pressure acquisition device 4, activity amount acquisition device 5, illuminance acquisition device 6, behavior record input device 7, and display device 9 (step S102 in FIG. 5).

[0028] When communication with the processing device 8 is established, the core body temperature acquisition device 1, heart rate acquisition device 2, blood glucose level acquisition device 3, and blood pressure acquisition device 4 each acquire the user's biological information (core body temperature, heart rate, blood glucose level, and blood pressure) and wirelessly transmit it to the processing device 8 (step S103 in FIG. 5). The activity amount acquisition device 5 acquires the user's activity amount and wirelessly transmits it to the processing device 8 (step S104 in FIG. 5).

[0029] The illuminance acquisition device 6 acquires environmental information (illuminance) and wirelessly transmits it to the processing device 8 (step S105 in FIG. 5 ). The smartphone 11 (behavior record input device 7) acquires the user's behavior record and wirelessly transmits it to the processing device 8 (step S106 in FIG. 5 ).

[0030] The receiving unit 80 of the processing device 8 receives the biological information, activity amount, environmental information, and behavior record (step S107 in FIG. 5). The receiving unit 80 adds time information obtained from the clock unit 86 in the processing device 8 to each of the biological information, activity amount, environmental information, and behavior record, and stores them in the memory unit 85. The internal biological time calculation unit 81 of the processing device 8 calculates the user's internal biological time based on the deep body temperature received by the receiving unit 80 and the time obtained from the clock unit 86 (step S108 in FIG. 5).

[0031] The alarm generating unit 82 of the processing device 8 determines whether the user's physical condition is good or bad based on the deep body temperature received by the receiving unit 80 (step S109 in FIG. 5), and issues an alarm if it determines that there is an abnormality (step S110 in FIG. 5). The method of calculating the internal biological time and the method of determining whether the user's physical condition is good or bad will be described later.

[0032] The image generation unit 83 of the processing device 8 generates a monitoring image for integrating and displaying the user's biological information (core body temperature, heart rate, blood glucose level, blood pressure), activity level, environmental information (illuminance), behavior record, internal biological time, and alarm information (step S111 in FIG. 5 ). The transmission unit 84 of the processing device 8 wirelessly transmits the monitoring image generated by the image generation unit 83 to the smartphone 11 (display device 9) via the network 10 (step S112 in FIG. 5 ).

[0033] The receiving unit 113 of the smartphone 11 receives the monitoring image transmitted from the processing device 8 (step S113 in FIG. 5 ). The display control unit 1112 of the smartphone 11 causes the display unit 111 to display the monitoring image transmitted from the processing device 8 (step S114 in FIG. 5 ). The processes in steps S103 to S114 described above are repeatedly executed until, for example, a command to end measurement is received from the user (YES in step S115 in FIG. 5 ).

[0034] FIG. 6 is a diagram showing an example of an image displayed on the smartphone 11. In the example of FIG. 6, user information for September 10, 2023 is displayed. The display unit 111 of the smartphone 11 displays icon images 200a to 200f generated by the image generation unit 1110. When the user taps icon image 200a after eating a normal amount of food, the input unit 1111 of the smartphone 11 determines that the user has eaten a normal meal. When the user taps icon image 200b after eating a small amount of food, the input unit 1111 determines that the user has eaten a small amount. When the user taps icon image 200c after eating a large amount of food, the input unit 1111 determines that the user has eaten a large amount of food. When the user taps icon image 200d during a snack, the input unit 1111 determines that the user has eaten a snack. When the user taps icon image 200e upon waking up, the input unit 1111 determines that the user has woken up. When the user taps icon image 200f upon starting to sleep, the input unit 1111 determines that the user has gone to bed. The transmitting unit 112 of the smartphone 11 wirelessly transmits to the processing device 8 the information of the action record that the user inputs by tapping the icon images 200a to 200f.

[0035] The display unit 111 also displays a monitoring image 300 generated by the image generation unit 83 of the processing device 8. The monitoring image 300 includes a 24-hour analog clock image 301 indicating the time kept by the clock unit 86 in the processing device 8, an hour hand 302 indicating the user's internal biological time on the clock image 301, color map images 303a to 303c arranged in a concentric ring around the clock image 301 and displaying 24-hour fluctuations in biological information, activity amount, and environmental information with colors, and icon images 304a to 304e showing the user's actions in graphics and indicating the time of the actions by their positions on the clock image 301.

[0036] In the example of FIG. 6, color map image 303a shows the time variation of the user's blood glucose level. Color map image 303b shows the time variation of the user's core body temperature. Color map image 303c shows the time variation of illuminance. Icon image 304a shows that the user had a snack at midnight. Icon image 304b shows that the user went to bed at 2:30. Icon image 304c shows that the user woke up at 4:30. Icon image 304d shows that the user had a large meal at 6:00. Icon image 304e shows that the user had a normal meal at 2:30.

[0037] As described above, time information is added to each of the biometric information, activity level, environmental information, and behavioral record stored in the memory unit 85 by the receiving unit 80, and the image generating unit 83 can generate color map images 303a to 303c and icon images 304a to 304e based on this information.

[0038] The user can change the items displayed in the color map images 303 a to 303 c by tapping the menu button 305 and selecting a desired item. When the user taps the menu button 305 to request a change to the color map images 303 a to 303 c, the request processing unit 1113 of the smartphone 11 instructs the transmission unit 112 to transmit the user's request to the processing device 8.

[0039] The receiving unit 80 of the processing device 8 receives the color map image change request transmitted from the smartphone 11. When generating the monitoring image 300, the image generating unit 83 of the processing device 8 changes the items displayed in the color map images 303a to 303c in response to the color map image change request (step S111 in FIG. 5). For example, if the user selects the amount of activity, the time variation of the amount of activity can be displayed in the color map image. Furthermore, the time variation of the biological information selected by the user from multiple pieces of biological information (core body temperature, heart rate, blood glucose level, blood pressure) can be displayed in the color map image.

[0040] The user can change the display target date of the monitoring image 300 by tapping the down button 306 or the up button 307 and selecting a desired date and time. When the user taps the down button 306 or the up button 307 to request a change of the display target date, the request processing unit 1113 of the smartphone 11 instructs the transmission unit 112 to transmit the user's request to the processing device 8.

[0041] The receiving unit 80 of the processing device 8 receives the date and time change request transmitted from the smartphone 11. When generating the monitoring image 300, the image generating unit 83 of the processing device 8 changes the display target date of the monitoring image 300 in response to the date and time change request (step S111 in FIG. 5 ). However, even if the user selects a past date and time, the time indicated by the clock image 301 is the current time. On the other hand, the internal biological time indicated by the hour hand 302 is the internal biological time on the display target date when the time indicated by the clock image 301 is the time on the display target date.

[0042] It goes without saying that if the user selects the current day as the display target day, the biological information, activity level, and environmental information up to the current time are displayed in a color map image, rather than for 24 hours. Also, as will be described later, 24 hours of core body temperature data is required to calculate the internal biological time, so if the user selects the current day as the display target day, the hour hand 302 is not displayed.

[0043] When the alarm generating unit 82 of the processing device 8 issues an alarm, the image generating unit 83 changes the display format of the monitoring image 300 to display the alarm (step S111 in FIG. 5). One method of displaying the alarm is to display all or part of the monitoring image 300 in red, for example. Furthermore, when the same activity record is input in the same time period for multiple consecutive days, the image generating unit 83 may highlight the icon image representing this activity record by, for example, displaying it in a darker color.

[0044] As described above, in this embodiment, by displaying a monitoring image including a 24-hour analog clock image and a color map image arranged in a concentric ring around the clock image, it is possible to intuitively grasp biological information and its cycle. Furthermore, in this embodiment, the clock image, internal body time, biological information, activity level, environmental information, and behavioral records can be displayed side by side, making it easy to view this information at a glance. Comparing such various types of information is useful when a user is experiencing problems with their circadian rhythm due to, for example, overseas travel or shift work.

[0045] Next, the method for calculating the internal biological time and the method for determining whether the user's physical condition is good or bad will be explained. Figure 7 is a flowchart explaining the method for calculating the internal biological time and the method for determining whether the user's physical condition is good or bad. First, at the time of initial setup, the internal biological time calculation unit 81 of the processing device 8 acquires deep body temperature data for the previous 24 hours from the memory unit 85 (step S200 in Figure 7).

[0046] Next, the internal biological time calculation unit 81 calculates the time tn of the lowest body temperature during the 24-hour period (step S201 in FIG. 7). Methods for calculating the time tn of the lowest body temperature include the observation method and the Cosinor method. The Cosinor method is an analytical technique that applies a cosine curve 20 to the waveform of the core body temperature Tcbt as shown in FIG. 8. The cosine curve 20 can be expressed as in equation (1). A is the amplitude, ω is the angular frequency, t is the time, φ is the phase, and M is the mean value. Tcbt = A cos(ωt + φ) + M ... (1)

[0047] At the time of initial setting, if the user felt good on the previous day, the user inputs that fact into the smartphone 11, and if the user felt bad on the previous day, the user inputs that fact into the smartphone 11. The request processing unit 1113 of the smartphone 11 instructs the sending unit 112 to notify the processing device 8 of the user's physical condition.

[0048] When the internal biological time calculation unit 81 recognizes from the smartphone 11 that the user is in good physical condition (YES in step S202 in FIG. 7), it sets the time of lowest body temperature tn calculated in step S201 as the reference time t0 (step S203 in FIG. 7).The internal biological time calculation unit 81 also sets the core body temperature Tcbt data for the previous 24 hours as reference data W0 (step S204 in FIG. 7).

[0049] If the user's physical condition is poor, the internal time calculation unit 81 returns to step S200 and retrieves the core body temperature Tcbt data for the 24 hours from the previous two days from the storage unit 85. The internal time calculation unit 81 then repeats steps S200 to S202, going back in time until it reaches a day when the user's physical condition was good, thereby setting the minimum body temperature time tn on the reference day when the user's physical condition was good as the reference time t0 and setting the core body temperature Tcbt data for the 24 hours on the reference day as the reference data W0. The internal time calculation unit 81 also assumes that the user's internal time tb on the reference day is synchronized with the time ts kept by the clock unit 86 in the processing device 8, and sets the difference Δt between the internal time tb on the reference day and the time ts on the reference day to zero (step S205 in FIG. 7 ). The time difference Δt between the reference time t0 and the reference day is stored in the storage unit 85.

[0050] After the initial settings are complete, the internal biological time calculation unit 81 obtains the core body temperature Tcbt data for 24 hours on the display target day from the storage unit 85 (step S206 in FIG. 7). As in step S201, the internal biological time calculation unit 81 determines the time tn of the lowest body temperature during the 24 hours on the display target day (step S207 in FIG. 7).

[0051] The internal biological time calculation unit 81 calculates the difference between the reference time t0 and the time of lowest body temperature tn on the display target day as the difference Δt between the internal biological time tb on the display target day and the time ts on the display target day, as shown in equation (2) (step S208 in FIG. 7). Δt = t0 - tn (2)

[0052] The internal biological time calculation unit 81 then calculates the difference between the current time tp kept by the clock unit 86 in the processing device 8 and the time difference Δt calculated in step S208 as the internal biological time tb of the user for the display target day (step S209 in FIG. 7), using equation (3). tb=tp-Δt (3)

[0053] The image generating unit 83 of the processing device 8 generates the monitoring image 300 so that the hour hand 302 indicating the internal body time tb is displayed. Next, the alarm generating unit 82 of the processing device 8 calculates a feature quantity indicating the relationship between the reference data W0 and the 24-hour core body temperature Tcbt data for the display target day for each hour of the display target day (step S210 in FIG. 7). A correlation coefficient can be used as the feature quantity.

[0054] The warning generation unit 82 compares the calculated feature amount with a predetermined abnormality detection threshold for each time on the display target date to determine whether the user's physical condition is good or bad on the display target date (step S211 in FIG. 7 ), and issues a warning if an abnormality is determined (step S212 in FIG. 7 ). When the feature amount is a correlation coefficient, the warning generation unit 82 determines that the user's physical condition is good if the correlation coefficient is equal to or greater than the abnormality detection threshold (e.g., 0.8), and determines that the user's physical condition is abnormal if the correlation coefficient is below the abnormality detection threshold. If the display target date is changed, the processing from step S206 onward can be performed for the changed display target date.

[0055] Fig. 9A shows an example of data on the core body temperature Tcbt, and Fig. 9B shows the feature amount (correlation coefficient) calculated from the data in Fig. 9A. In the example of Fig. 9A, the waveform of the core body temperature Tcbt is disturbed in the area of ​​the dashed line 21 due to overwork of the user, and the feature amount decreases accordingly, so an alarm is issued.

[0056] In this embodiment, the image generation unit 83 of the processing device 8 generates the monitoring image 300, but the image generation unit 1110 of the smartphone 11 may also generate the monitoring image 300. The operation in this case is shown in FIG. 10. The processes of steps S300 to S305 in FIG. 10 are the same as steps S100 to S105 in FIG. 5. When the behavior record input device 7 and the display device 9 are implemented together in one smartphone 11, the smartphone 11 does not need to transmit the user's behavior record to the processing device 8, and the behavior record is transmitted to the memory unit 114 of the smartphone 11 (step S306 in FIG. 10).

[0057] The receiving unit 80 of the processing device 8 receives the biological information, activity amount, and environmental information (step S307 in FIG. 10 ). The transmitting unit 84 of the processing device 8 wirelessly transmits the received biological information, activity amount, and environmental information to the smartphone 11 (step S308 in FIG. 10 ). The receiving unit 113 of the smartphone 11 receives the biological information, activity amount, and environmental information transmitted from the processing device 8 (step S309 in FIG. 10 ). The received biological information, activity amount, and environmental information are stored in the storage unit 114.

[0058] The processing in steps S310 to S312 in Fig. 10 is the same as steps S108 to S110 in Fig. 5. The transmitter 84 of the processing device 8 wirelessly transmits the internal biological time information and the alarm information to the smartphone 11 (step S313 in Fig. 10).

[0059] The receiving unit 113 of the smartphone 11 receives the internal biological time information and alarm information transmitted from the processing device 8 (step S314 in FIG. 10 ). The image generating unit 1110 of the smartphone 11 generates a monitoring image 300 for integrating and displaying the biological information, activity amount, environmental information, internal biological time, and alarm information transmitted from the processing device 8, a clock image, and an action record entered by the user (step S315 in FIG. 10 ). Time information obtained from the clock unit 115 in the smartphone 11 is used to generate the clock image 301.

[0060] The display control unit 1112 of the smartphone 11 causes the display unit 111 to display the monitoring image 300 generated by the image generation unit 1110 (step S316 in FIG. 10). The above-described processing of steps S303 to S316 is repeatedly executed until, for example, a command to end measurement is received from the user (YES in step S317 in FIG. 10).

[0061] The acquisition devices 1 to 6, the processing device 8, and the smartphone 11 described in this embodiment can each be realized by a computer equipped with a CPU (Central Processing Unit), a storage device, and an interface, and a program that controls these hardware resources. An example configuration of this computer is shown in FIG. 11.

[0062] The computer includes a CPU 400, a storage device 401, and an interface device (I / F) 402. In the case of the acquisition devices 1 to 6, hardware such as a sensor unit 100, a display unit 103, and a transmission unit 104 is connected to the I / F 402. In the case of the processing device 8, hardware such as a receiving unit 80 and a transmission unit 84 is connected to the I / F 402. In the case of the smartphone 11, hardware such as a display unit 111, a transmission unit 112, and a reception unit 113 is connected to the I / F 402.

[0063] In the above-described computer, a biometric information display program for realizing the biometric information display method of the present invention is provided in a state recorded on a recording medium such as a flexible disk, CD-ROM, DVD-ROM, memory card, etc. The CPU 400 of each device writes the program read from the recording medium into the storage device 401, and executes the processing described in this embodiment in accordance with the program stored in the storage device 401. The program can also be provided via a network.

[0064] Some or all of the above embodiments can be described as, but are not limited to, the following supplementary notes.

[0065] (Supplementary Note 1) The biometric information display system of the present invention comprises a biometric information acquisition device configured to acquire a user's biometric information, an image generation unit configured to generate a monitoring image for displaying the biometric information, and a display unit configured to display the monitoring image, wherein the monitoring image includes an analog clock image with a 24-hour cycle and a first color map image arranged in a concentric ring around the clock image and displaying the temporal variation of the biometric information in color.

[0066] (Appendix 2) In the biometric information display system described in Appendix 1, the biometric information includes information on core body temperature, and the system further includes an internal body time calculation unit configured to calculate the user's internal body time based on the core body temperature, and the image generation unit generates the monitoring image so that an hour hand indicating the user's internal body time is displayed on the clock image.

[0067] (Appendix 3) In the biometric information display system described in Appendix 1, the biometric information includes information on core body temperature, and further includes an alarm generation unit configured to determine whether the user's physical condition is good or bad based on the core body temperature and to issue an alarm when it determines that there is an abnormality, and the image generation unit generates the monitoring image so that the alarm is displayed when the alarm generation unit issues an alarm.

[0068] (Appendix 4) The biometric information display system described in Appendix 1 further includes an environmental information acquisition device configured to acquire environmental information around the user, and the image generation unit generates the monitoring image so that a second color map image, which displays the time variation of the environmental information in color, is arranged in a concentric ring around the clock image.

[0069] (Appendix 5) The bioinformation display system described in Appendix 1 further includes an activity amount acquisition device configured to acquire the activity amount of the user, and the image generation unit generates the monitoring image so that a second color map image, which displays the time variation of the activity amount in color, is arranged in a concentric ring shape around the clock image.

[0070] (Appendix 6) The bioinformation display system described in Appendix 1 further comprises a behavior record input device configured to acquire the user's behavior record, and the image generation unit generates the monitoring image based on the information acquired by the behavior record input device so that an icon image is displayed on the clock image, and the icon image graphically indicates the user's behavior and indicates the time of the behavior by its position on the clock image.

[0071] (Appendix 7) The biometric information display method of the present invention includes a first step of acquiring a user's biometric information, a second step of generating a monitoring image for displaying the biometric information, and a third step of displaying the monitoring image, wherein the monitoring image includes an analog clock image with a 24-hour cycle and a color map image arranged in a concentric ring around the clock image and displaying the temporal variation of the biometric information in color.

[0072] (Supplementary Note 8) A biological information display program according to the present invention is characterized in that it causes a computer to execute each step described in Supplementary Note 7.

[0073] The present invention can be applied to a technology for displaying biological information.

[0074] 1...core body temperature acquisition device, 2...heart rate acquisition device, 3...blood glucose level acquisition device, 4...blood pressure acquisition device, 5...activity amount acquisition device, 6...illuminance acquisition device, 7...behavioral record input device, 8...processing device, 9...display device, 10...network, 11...smartphone, 12...biometric information acquisition device, 80, 113...receiving unit, 81...internal biological time calculation unit, 82...alarm generation unit, 83, 1110...image generation unit, 84, 104, 112...transmitting unit, 85, 102, 114...memory unit, 86, 115...clock unit, 100...sensor unit, 101...calculation unit, 103, 111...display unit, 1111...input unit, 1112...display control unit, 1113...request processing unit.

Claims

1. A biological information display system, comprising: a biological information acquisition device configured to acquire biological information of a user; an image generation unit configured to generate a monitoring image for displaying the biological information; and a display unit configured to display the monitoring image, wherein the monitoring image includes an analog clock image with a 24-hour cycle and a first color map image arranged concentrically around the clock image and displaying the temporal variation of the biological information in color.

2. The biological information display system according to claim 1, wherein the biological information includes deep body temperature information, and further comprises an internal clock calculation unit configured to calculate the internal clock of the user based on the deep body temperature, and the image generation unit generates the monitoring image such that an hour hand indicating the internal clock of the user is displayed on the clock image.

3. The biological information display system according to claim 1, wherein the biological information includes deep body temperature information, and further comprises an alarm generation unit configured to determine the condition of the user based on the deep body temperature and issue an alarm when an abnormality is determined, and the image generation unit generates the monitoring image such that an alarm is displayed when the alarm generation unit issues an alarm.

4. The biological information display system according to claim 1, further comprising an environmental information acquisition device configured to acquire environmental information around the user, and the image generation unit generates the monitoring image such that a second color map image displaying the temporal variation of the environmental information in color is arranged concentrically around the clock image.

5. The biological information display system according to claim 1, further comprising an activity amount acquisition device configured to acquire the activity amount of the user, and the image generation unit generates the monitoring image such that a second color map image displaying the temporal variation of the activity amount in color is arranged concentrically around the clock image.

6. In the biological information display system according to claim 1, the system further comprises a behavior record input device configured to acquire the behavior record of the user, and the image generation unit generates the monitoring image such that an icon image is displayed on the clock image based on the information acquired by the behavior record input device. The icon image is characterized in that it graphically represents the behavior of the user and indicates the time of the behavior at a position on the clock image.

7. A biological information display method, comprising: a first step of acquiring biological information of a user; a second step of generating a monitoring image for displaying the biological information; and a third step of displaying the monitoring image. The monitoring image includes an analog clock image with a 24-hour cycle and a color map image arranged concentrically around the clock image, and the time variation of the biological information is displayed in color.

8. A biological information display program, characterized in that each step according to claim 7 is executed by a computer.

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