Measurement device, measurement method, and program

Abstract

The present disclosure pertains to a measurement device, a measurement method, and a program that make it possible to achieve both optimal measurement accuracy and power consumption. Provided is a measurement device comprising: a measurement unit that measures biological information of a user to be measured, on the basis of an S parameter measured from the user; and a control unit that controls the measurement unit. The control unit acquires a measurement parameter corresponding to a continuous medical treatment for the user or a periodic biorhythm of the user, and controls measurement by the measurement unit on the basis of the acquired measurement parameter. The present disclosure can be applied, for example, to a sensor module mounted in a wearable terminal.

Description

Measuring Device, Measuring Method, and Program 【0001】 The present disclosure relates to a measuring device, a measuring method, and a program, and more particularly to a measuring device, a measuring method, and a program that can achieve both optimal measurement accuracy and power consumption. 【0002】 Conventionally, non-invasive sensors that measure biological information using infrared lasers, microwaves, millimeter waves, etc. have been studied and commercialized (see, for example, Patent Document 1). As this type of sensor, a measuring device that measures biological information by measuring S parameters is known. 【0003】 U.S. Patent Application Publication No. 2020 / 0297256 【0004】 In conventional measuring devices, it has been difficult to achieve both optimal measurement accuracy and power consumption because the measurement parameters were fixed during user operation. 【0005】 The present disclosure has been made in view of such circumstances and aims to achieve both optimal measurement accuracy and power consumption. 【0006】 A measuring device according to one aspect of the present disclosure includes a measuring unit that measures biological information of a user based on S parameters measured from the user, and a control unit that controls the measuring unit. The control unit acquires measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and controls the measurement by the measuring unit based on the acquired measurement parameters. 【0007】 A measuring method according to one aspect of the present disclosure includes a measuring device measuring biological information of a user based on S parameters measured from the user, acquiring measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and controlling the measurement based on the acquired measurement parameters. 【0008】One aspect of the present disclosure is a program that enables a computer to function as a measuring device, comprising a measuring unit that measures a user's biological information based on S-parameters measured from the user being measured, and a control unit that controls the measuring unit, wherein the control unit acquires measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and controls the measurement by the measuring unit based on the acquired measurement parameters. 【0009】 In one aspect of the present disclosure, a measuring device, a measuring method, and a program are used to measure a user's biological information based on S-parameters measured from the user being measured, to acquire measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and to control the measurement based on the acquired measurement parameters. 【0010】 Furthermore, the measuring device representing one aspect of this disclosure may be an independent device or an internal block constituting a single device. 【0011】 This is a block diagram showing an example configuration of one embodiment of a measurement system to which this disclosure is applied. This is a flowchart illustrating the flow of measurement processing performed by the measurement system. This is a flowchart illustrating the flow of mode determination processing. This is a flowchart illustrating the flow of blood glucose measurement processing. This is a block diagram showing an example configuration of one embodiment of a measurement system to which this disclosure is applied. This is a flowchart illustrating the flow of measurement processing performed by the measurement system. This is a flowchart illustrating the flow of mode determination processing. This is a flowchart illustrating the flow of blood glucose measurement processing. This is a diagram showing a first example of the configuration of an electronic device having a sensor module. This is a diagram showing a second example of the configuration of an electronic device having a sensor module. This is a block diagram showing an example of the configuration of computer hardware. 【0012】 <<First Embodiment>> 【0013】 <System Configuration> Figure 1 is a block diagram showing an example configuration of one embodiment of a measurement system to which this disclosure is applied. 【0014】The measurement system 1 consists of a sensor module 11 and an information terminal 12. The sensor module 11 is a measuring device equipped with a measurement unit for measuring the user's blood glucose level. The information terminal 12 is an electronic device such as a smartphone or tablet. The sensor module 11 and the information terminal 12 can exchange data by wireless communication according to a communication method compliant with, for example, a wireless LAN (Local Area Network) or a short-range wireless communication standard such as Bluetooth (registered trademark). 【0015】 The sensor module 11 comprises a control detection unit 21, a measurement unit 22, and a communication unit 23. The control detection unit 21 is composed of a processor such as a CPU (Central Processing Unit) or a microcontroller including a CPU and memory. The control detection unit 21 controls each part of the sensor module 11. For example, the control detection unit 21 controls the measurement unit 22 based on measurement parameters, time information, user input information, external data, and measurement instructions transmitted from the information terminal 12. 【0016】 The measurement unit 22 has a VNA core 31 configured as a VNA (Vector Network Analyzer) chip (VNA integrated circuit). The VNA core 31 measures S-parameters by irradiating the user's body part to be measured (for example, the arm such as the wrist) with microwave or millimeter-wave electromagnetic waves (radio waves), i.e., RF (Radio Frequency) signals, via a probe or the like as an incident signal. The body part to be measured includes, for example, the tissue around the user's arm, specifically body tissue consisting of keratin, skin cells, blood vessels (blood), etc. The body part to be measured is not limited to the user's arm, but may be other parts such as the earlobe, palm, foot, or abdomen. Furthermore, the measurement unit 22 may measure other biological information in addition to blood glucose levels. 【0017】An electrode 32, which functions as a probe, is connected to the port of the VNA core 31. The electrode 32 is composed of multiple electrodes. The VNA core 31 has an RF unit 41, an S-parameter calculation unit 42, and a calibration unit 43. The RF unit 41 irradiates the user's body part to be measured with an incident signal for measuring the S-parameters via the electrode 32, and also receives the incident signal that has been reflected back from inside the user's body part as a reflected signal. The RF unit 41 can also receive the incident signal that has passed through the user's body part to be measured as a transmitted signal. 【0018】 The S-parameter calculation unit 42 calculates S-parameters based on at least the incident signal and the reflected signal from the RF unit 41, among the incident signal, reflected signal, and transmitted signal. That is, when measuring blood glucose levels, the VNA core 31 measures S-parameters. S-parameters are parameters related to the magnitude (amplitude) and phase of RF signals such as reflected signals and transmitted signals. For example, when only port 1 is used for measurement, S11 is calculated as an S-parameter based on the incident signal and the reflected signal. S11 is information that represents the change in magnitude and phase of the reflected signal relative to the incident signal to the measurement target. When both port 1 and port 2 are used for measurement, S11 and S21 are calculated as S-parameters based on the incident signal, the reflected signal, and the transmitted signal. S21 is information that represents the change in magnitude and phase of the transmitted signal relative to the incident signal to the measurement target. 【0019】 The calibration unit 43 performs VNA calibration. The calibration unit 43 can perform VNA calibration, for example, by SOLT (Short-Open-Load-Thru) calibration. In SOLT calibration, the characteristics of short circuit, open circuit, load, and transmission are measured using a calibration element, and reference data is acquired. By performing VNA calibration, it becomes possible to remove unnecessary influences from the measurement and accurately measure the characteristics of the object being measured. 【0020】The measurement unit 22 includes a blood glucose calculation unit 33 along with a VNA core 31 as a circuit unit for calculating S-parameters and blood glucose levels. The blood glucose calculation unit 33 calculates blood glucose levels based on the S-parameters calculated by the S-parameter calculation unit 42. Here, for example, the complex dielectric constant of the object to be measured can be calculated by the probe method or the S-parameter method, and the blood glucose level can be calculated based on the complex dielectric constant. The communication unit 23 is composed of a communication module compatible with communication methods such as wireless LAN and short-range wireless communication standards. The communication unit 23 receives measurement parameters, time information, user input information, external data, and measurement instructions transmitted from the information terminal 12 according to a predetermined communication method, and supplies them to the control detection unit 21. The communication unit 23 also transmits the blood glucose data calculated by the blood glucose calculation unit 33 as a measurement result to the information terminal 12 according to a predetermined communication method. 【0021】 The sensor module 11 is connected to a heart rate sensor 61, a blood oxygen concentration sensor 62, and a skin temperature sensor 63 via a predetermined input interface. The heart rate sensor 61 is a sensor that measures the user's heart rate. The heart rate sensor 61 measures the heart rate using a predetermined measurement method by irradiating the user's body part (such as the wrist or arm) with electromagnetic waves such as visible light or infrared rays, and supplies the measured heart rate data to the control detection unit 21. The blood oxygen concentration sensor 62 is a sensor that measures the user's blood oxygen concentration. The blood oxygen concentration sensor 62 measures the blood oxygen concentration from the user's body part (such as the wrist or arm) using a predetermined measurement method and supplies the measured blood oxygen concentration data to the control detection unit 21. The skin temperature sensor 63 is a sensor that measures the user's skin temperature. The skin temperature sensor 63 measures the skin temperature from the user's body part (such as the wrist or arm) using a predetermined measurement method and supplies the measured skin temperature data to the control detection unit 21. 【0022】The control and detection unit 21 is supplied with biological information other than blood glucose levels, including heart rate data from the heart rate sensor 61, blood oxygen concentration data from the blood oxygen concentration sensor 62, and skin temperature data from the skin temperature sensor 63. The control and detection unit 21 controls the measurement unit 22 based on the measurement parameters, time information, user input information, external data, and measurement instructions transmitted from the information terminal 12, as well as the heart rate data, blood oxygen concentration data, and skin temperature data supplied from each sensor. 【0023】 The information terminal 12 comprises an application 51, a display unit 52, a storage unit 53, a communication unit 54, and a UI unit 55. The application 51 is an application for measuring blood glucose levels. The application 51 is started and operated when a processor such as a CPU executes a program stored in the storage unit 53. For example, the application 51 is obtained and installed from a server on the internet. The display unit 52 is composed of a liquid crystal display, an organic EL display, or the like. For example, the display unit 52 displays the screen of the application 51 and information corresponding to the measurement results from the sensor module 11. 【0024】 The memory unit 53 is composed of a storage device such as a semiconductor memory. The memory unit 53 stores various data such as measurement parameters. The communication unit 54 is composed of a communication module compatible with communication methods such as wireless LAN and short-range wireless communication standards. The communication unit 54 receives external data transmitted from the insulin pump 71 according to a predetermined communication method. The insulin pump 71 is a small pump that continuously injects insulin into the body. The insulin pump 71 is also an external device with a communication function compatible with a predetermined communication method. The external data includes information such as meal bolus injection timing, basal rate change timing, and low insulin reservoir timing. Meal bolus injection timing indicates the timing for additional insulin injection required during meals or snacks. Basal rate change timing indicates the timing for changing the amount of insulin continuously injected to maintain the target blood glucose level during non-meal times. Low insulin reservoir timing indicates the timing when the capacity of the insulin tank installed in the insulin pump 71 becomes low. 【0025】 The UI unit 55 is an input interface that receives input from the user, and is composed of, for example, a touch panel, a software keyboard, or physical buttons. The UI unit 55 receives input of information such as meals and basal rate changes in response to user operations. Meals include information about meal bolus infusion. Basal rate changes include information about changes in the basal rate. The communication unit 54 transmits measurement parameters, time information, user input information, external data, and measurement instructions to the sensor module 11 according to a predetermined communication method. The communication unit 54 also receives measurement results transmitted from the sensor module 11 according to a predetermined communication method and supplies them to the application 51. 【0026】 <Processing Flow> Next, referring to the flowchart in Figure 2, the flow of the measurement process performed by the measurement system 1 in Figure 1 will be explained. 【0027】 In step S11, the sensor module 11 and the information terminal 12, which constitute the measurement system 1, are activated and become ready to operate in cooperation. In step S12, the UI unit 55 of the information terminal 12 accepts user input. For example, information such as meals and basal rate changes is entered by the user. In step S13, the application 51 of the information terminal 12 checks the current time. In step S14, the communication unit 54 of the information terminal 12 receives and acquires external data transmitted from the insulin pump 71. For example, the external data includes meal bolus infusion timing, basal rate change timing, low insulin reservoir timing, etc. 【0028】In step S15, the application 51 on the information terminal 12 performs measurement parameter setting processing. In the measurement parameter setting processing, the following are set: radio wave intensity, which indicates the strength of the radio waves during measurement; measurement frequency, which indicates the number of measurements performed per unit time to determine one blood glucose level; number of electrodes used, which indicates the number of electrodes used during measurement; and information regarding the implementation of VNA calibration. For example, the set radio wave intensity, measurement frequency, number of electrodes used, and information regarding the implementation of VNA calibration are stored in advance in the storage unit 53. Note that the measurement frequency is not limited to the number of measurements per unit time, but may also be determined according to, for example, the average number of measurements, the number of samples, or the number of frequency bands used (5GHz only, 4GHz and 5GHz, etc.). 【0029】 Specifically, in the insulin management critical phase-adapted measurement mode, the measurement parameters can be set to 1.5 times the normal level, 20 measurement times per second, 8 electrodes used, and VNA calibration enabled. In the normal measurement mode, the measurement parameters can be set to 0.7 times the normal level, 5 measurement times per second, 4 electrodes used, and VNA calibration disabled. Here, "normal" refers to standard values ​​such as the settings used in conventional measurement systems (measuring devices). 【0030】 In step S16, the communication unit 54 of the information terminal 12 transmits measurement parameters, time information, user input information, external data, and measurement instructions to the sensor module 11 according to a predetermined communication method. The communication unit 23 of the sensor module 11 receives the measurement parameters, time information, user input information, external data, and measurement instructions transmitted from the information terminal 12. The time information includes the current time. The user input information includes information on meals and basal rate changes. The external data includes information on meal bolus infusion timing, basal rate change timing, and low insulin reservoir timing. 【0031】In step S17, the control detection unit 21 of the sensor module 11 acquires external sensor data. The external sensor data acquired includes heart rate data from the heart rate sensor 61, blood oxygen concentration data from the blood oxygen concentration sensor 62, and skin temperature data from the skin temperature sensor 63. 【0032】 In step S18, the control detection unit 21 of the sensor module 11 performs a mode determination process. The mode determination process determines whether the measurement mode is adapted to the insulin management critical period or the normal measurement mode. Figure 3 is a flowchart illustrating the flow of the mode determination process. In step S31, it is determined whether or not the insulin management critical period, a period in which insulin management is important, has been detected. For example, the control detection unit 21 determines that the insulin management critical period has been detected when it is the time of meal bolus injection (e.g., before or after a meal) or when the basal rate is changed (e.g., several days after a rate change), based on information about meals and basal rate changes included in the user input information. The control detection unit 21 also determines that the insulin management critical period has been detected when it is the time of meal bolus injection, when the basal rate is changed, or when the insulin reservoir is low, based on external data. Furthermore, the control detection unit 21 comprehensively analyzes external sensor data and captures complex biological responses such as changes in heart rate, fluctuations in blood oxygen concentration, and increases in skin temperature. When signs of eating are detected in the user being measured, it determines that a critical period for insulin management has been detected. 【0033】 If it is determined in step S31 that a critical insulin management period has been detected, the insulin management period-adapted measurement mode is activated (S32). On the other hand, if it is determined in step S31 that a critical insulin management period has not been detected, the normal measurement mode is activated (S33). Once the processing in step S32 or S33 is completed, the process proceeds from step S18 to step S19 in Figure 2. 【0034】In step S19, the control detection unit 21 of the sensor module 11 controls the measurement unit 22 based on the measurement parameters and measurement instructions transmitted from the information terminal 12 and the processing result of the mode determination process, thereby performing blood glucose measurement processing. In the blood glucose measurement processing, when measuring blood glucose levels using VNA, the radio wave intensity, measurement frequency, number of electrodes used, and VNA calibration are dynamically adjusted based on the measurement parameters transmitted from the information terminal 12. 【0035】 Figure 4 is a flowchart illustrating the blood glucose measurement process. In the blood glucose measurement process, when the insulin management critical period adaptive measurement mode is selected (S41: Yes), the control detection unit 21 controls the measurement unit 22 to measure the blood glucose level based on the measurement parameters, setting the radio wave intensity to 1.5 times the normal level, the measurement frequency to 20 times per second, and the number of electrodes used to 8 (S42). The control detection unit 21 also controls the calibration unit 43 to perform VNA calibration prior to measurement (S42). Here, for example, VNA calibration may be performed for each blood glucose measurement when the insulin reservoir is low. 【0036】 On the other hand, in normal measurement mode (S41: No), the control detection unit 21 controls the measurement unit 22 to measure blood glucose levels based on the measurement parameters, setting the radio wave intensity to 0.7 times the normal level, the measurement frequency to 5 times per second, and the number of electrodes used to 4 (S43). The control detection unit 21 also does not perform VNA calibration (S43). However, prior to measurement, the control detection unit 21 may control the calibration unit 43 to perform VNA calibration at any number of times (e.g., once per hour). In this case, the radio wave intensity in the former (1.5 times the normal level) is stronger than the radio wave intensity in the latter (0.7 times the normal level), the measurement frequency in the former (20 times per second) is more than the measurement frequency in the latter (5 times per second), and the number of electrodes used in the former (8) is more than the number of electrodes used in the latter (4). When the processing in step S42 or S43 is completed, the process proceeds from step S19 to step S20 in Figure 2. 【0037】Specifically, when a critical insulin management period is detected, the radio wave intensity is increased to 1.5 times the normal level to improve measurement accuracy. On the other hand, during normal periods when no critical insulin management period is detected, the radio wave intensity is reduced to 0.7 times the normal level to conserve battery power. This allows for precise detection of critical insulin management periods while extending overall battery life. 【0038】 The measurement frequency is also dynamically adjusted depending on whether a critical insulin management period is detected. When a critical insulin management period is detected, it operates in high-precision mode, performing 20 measurements per second to determine a single blood glucose level. On the other hand, during normal periods, it switches to low-precision mode, performing 5 measurements per second to determine a single blood glucose level. This allows for detailed monitoring of blood glucose fluctuations during critical periods while optimizing battery consumption during normal periods. 【0039】 The number of electrodes used depends on the situation. When a critical period for insulin management is detected, the device operates in multi-electrode mode, using all eight electrodes (for example, if electrode 32 has eight electrodes) to precisely capture blood glucose levels. Conversely, during normal periods, it switches to a small-electrode mode (power-saving mode), using only four of the eight electrodes. This allows for improved measurement accuracy during critical periods by measuring with multiple electrodes and using the results. Therefore, accurate blood glucose monitoring and rapid response become possible. 【0040】 VNA calibration is enabled and performed with each blood glucose measurement when a critical insulin management period is detected, especially during low insulin reservoir periods. This allows for more accurate measurements during critical periods when insulin levels are low. On the other hand, during normal periods, VNA calibration can be disabled or performed at a specified frequency (e.g., once per hour) to reduce power consumption. This maximizes measurement accuracy during critical insulin management periods (especially during low insulin reservoir periods) while optimizing power consumption during normal periods. 【0041】In step S20, the communication unit 23 of the sensor module 11 transmits the measurement results to the information terminal 12 according to a predetermined communication method. The communication unit 54 of the information terminal 12 receives the measurement results transmitted from the sensor module 11. For example, the application 51 on the information terminal 12 can display information corresponding to the received measurement results on the display unit 52. 【0042】 As described above, in the measurement system 1 of Figure 1, when a critical insulin management period is detected, triggered by the user continuously administering insulin preparations as a continuous medical treatment, four measurement parameters (radio wave intensity, measurement frequency, number of electrodes used, and VNA calibration information) can be dynamically switched to measure blood glucose levels. For example, during a critical insulin management period, the radio wave intensity can be increased for more precise measurements, while during normal periods, the radio wave intensity can be decreased to reduce power consumption. Also, during a critical insulin management period, the measurement frequency can be increased for more precise measurements, while during normal periods, the measurement frequency can be decreased to reduce power consumption. Furthermore, during a critical insulin management period (especially when the insulin reservoir is low), VNA calibration can be performed for more precise measurements, while during normal periods, VNA calibration can be omitted or performed only a specified number of times to reduce power consumption. Additionally, during a critical insulin management period, the number of electrodes used can be increased for more precise measurements, while during normal periods, the number of electrodes used can be decreased to reduce power consumption. 【0043】Here, in the conventional measurement system (measurement device), since the measurement parameters were fixed during user operation, it was difficult to perform optimal measurements according to various use cases (such as important periods for insulin management). The above four measurement parameters have a trade-off relationship where the measurement accuracy improves with the set value but the power consumption increases, and the power consumption is low but the measurement accuracy decreases. For example, the fluctuations in blood glucose levels during important periods for insulin management could not be appropriately captured by the fixed measurement parameters, and it was impossible to achieve optimal measurement accuracy according to the use case. On the other hand, when measurement parameters that prioritize accuracy are used, the duration of the storage battery (battery) becomes shorter. Therefore, it is difficult to balance measurement accuracy and power consumption. For example, there was a trade-off problem where when performing high-precision measurements, the power consumption increased, and conversely, when suppressing the power consumption, the measurement accuracy decreased. In the present disclosure, when the important period for insulin management is detected as a trigger, the measurement parameters are dynamically switched to measure the blood glucose level, so that optimal measurement accuracy and power consumption can be achieved simultaneously. 【0044】 That is, in the measurement system (measurement device) to which the present disclosure is applied, when the important period for insulin management is detected, it transitions to an insulin management important period adaptive measurement mode in which optimal measurement parameters are set according to that period, and the measurement parameters are adjusted to improve the measurement accuracy. On the other hand, in the normal measurement mode, the measurement parameters are adjusted to suppress the power consumption. As a result, during the important period for insulin management, high-precision monitoring can be performed, and during the normal period, it can operate in a power-saving mode to extend the battery life. 【0045】As a method for detecting important insulin management periods, manual input by the user can be mainly used. For example, information such as meal bolus injection (before and after meals), basal rate change (such as several days after rate change), etc. can be input through an application 51 of an information terminal 12 such as a smartphone. Also, external data from an insulin pump 71 may be used to detect important insulin management periods (particularly, low insulin reservoir timing). Furthermore, regarding meals, it may be determined from monitoring of biological information (biological information other than blood glucose level) by various sensors such as a heart rate sensor 61, a blood oxygen concentration sensor 62, and a skin temperature sensor 63. 【0046】 In the above description, the case where the sensor module 11 selects measurement parameters based on the determination result of the mode determination process from the measurement parameters transmitted from the information terminal 12 is shown. However, the information terminal 12 may select measurement parameters based on the determination result of the mode determination process and transmit the selected measurement parameters. When the information terminal 12 selects measurement parameters, it is necessary to notify the information terminal 12 of the processing result of the mode determination process from the sensor module 11. Alternatively, the information terminal 12 may execute the mode determination process. That is, the mode determination process (S18) in FIG. 2 may be executed by the application 51 of the information terminal 12. 【0047】 Also, the measurement parameters pre-stored in the storage unit 53 are obtained and stored from an external server or the like at a predetermined timing such as when the application 51 is installed in the information terminal 12 or when linked with the sensor module 11. Alternatively, the measurement parameters may be set by the user via the UI unit 55. When measuring the blood glucose level, it is not necessary to dynamically switch all of the above four measurement parameters, and at least one measurement parameter may be dynamically switched. 【0048】 <<Second Embodiment>> 【0049】<System Configuration> Figure 5 is a block diagram showing an example configuration of one embodiment of a measurement system to which the present disclosure is applied. In the measurement system 2 of Figure 5, the parts corresponding to the measurement system 1 of Figure 1 are denoted by the same reference numerals, and their descriptions are omitted as appropriate. 【0050】 In the measurement system 2 of Figure 5, a control unit 24 is provided instead of the control detection unit 21, compared to the measurement system 1 of Figure 1. Also, in the measurement system 2 of Figure 5, the sensor module 11 is not connected to various sensors such as the heart rate sensor 61. The control unit 24 controls each part of the sensor module 11. 【0051】 In the information terminal 12 of Figure 5, the UI unit 55 accepts input such as menstrual cycle information, pregnancy status, and arbitrary blood glucose fluctuation period settings in response to user operations. Menstrual cycle information is information about the menstrual cycle if the user is female. Pregnancy status is information about the user's status if the user is pregnant. Arbitrary blood glucose fluctuation period settings are information about periods when blood glucose levels rise or fall, which are set as needed. A blood glucose fluctuation period is a period when blood glucose fluctuations, such as rising or falling blood glucose levels, are likely to occur. The communication unit 54 transmits measurement parameters, user input information, and measurement instructions to the sensor module 11 according to a predetermined communication method. In the sensor module 11 of Figure 5, the control unit 24 controls the measurement unit 22 based on the measurement parameters, user input information, and measurement instructions transmitted from the information terminal 12. 【0052】 <Processing Flow> Next, referring to the flowchart in Figure 6, the flow of the measurement process performed by the measurement system 2 in Figure 5 will be explained. 【0053】 In step S61, the system is started up, similar to step S11 in Figure 2. In step S62, the UI unit 55 receives user input from the information terminal 12. For example, information such as menstrual cycle information, pregnancy status, and arbitrary blood glucose fluctuation period settings may be entered. 【0054】In step S63, the application 51 of the information terminal 12 performs measurement parameter setting processing. In the measurement parameter setting processing, the radio wave intensity, measurement frequency, and number of electrodes to be used are set. For example, information regarding the radio wave intensity, measurement frequency, and number of electrodes to be set is stored in advance in the storage unit 53. 【0055】 Specifically, in the periodic biorhythm adaptive measurement mode, the measurement parameters can be set to 1.5 times the normal level, 20 measurement cycles per second, and 8 electrodes. In the normal measurement mode, the measurement parameters can be set to 0.7 times the normal level, 5 measurement cycles per second, and 4 electrodes. 【0056】 In step S64, the communication unit 54 of the information terminal 12 transmits measurement parameters, user input information, and measurement instructions to the sensor module 11 according to a predetermined communication method. The communication unit 23 of the sensor module 11 receives the measurement parameters, user input information, and measurement instructions transmitted from the information terminal 12. The user input information includes menstrual cycle information, pregnancy status, and information on arbitrary blood glucose fluctuation period settings. 【0057】 In step S65, the control unit 24 of the sensor module 11 performs a mode determination process. The mode determination process determines whether the measurement mode is a periodic biorhythm adaptive measurement mode or a normal measurement mode. Figure 7 is a flowchart illustrating the flow of the mode determination process. In step S81, it is determined whether or not a period of blood glucose fluctuation has been detected. For example, based on menstrual cycle information, pregnancy status, and information on an arbitrary blood glucose fluctuation period setting, the control unit 24 determines that a period of blood glucose fluctuation has been detected if it detects a period of blood glucose fluctuation in a periodic biorhythm (for example, the ovulation period, luteal phase, mid-to-late stages of pregnancy, etc., when blood glucose fluctuations such as blood glucose rise or the accompanying drop are likely to occur). 【0058】If it is determined in step S81 that a period of blood glucose fluctuation has been detected, the system switches to the periodic biorhythm adaptive measurement mode (S82). On the other hand, if it is determined in step S81 that a period of blood glucose fluctuation has not been detected, the system switches to the normal measurement mode (S83). For example, if it is a normal period (e.g., early pregnancy, menstruation, follicular phase, etc.), it is determined that it is not a period of blood glucose fluctuation. Once the processing in step S82 or S83 is completed, the process proceeds from step S65 to step S66 in Figure 6. 【0059】 In step S66, the control unit 24 of the sensor module 11 controls the measurement unit 22 based on the measurement parameters and measurement instructions transmitted from the information terminal 12 and the processing result of the mode determination process, thereby performing blood glucose measurement processing. In the blood glucose measurement processing, when measuring blood glucose levels using VNA, the radio wave intensity, measurement frequency, and number of electrodes used are dynamically adjusted based on the measurement parameters transmitted from the information terminal 12. 【0060】 Figure 8 is a flowchart illustrating the flow of the blood glucose measurement process. In the blood glucose measurement process, when the periodic biorhythm adaptive measurement mode is selected (S91: Yes), the control unit 24 controls the measurement unit 22 to measure blood glucose levels based on the measurement parameters, setting the radio wave intensity to 1.5 times the normal level, the measurement frequency to 20 times per second, and the number of electrodes used to 8 (S92). On the other hand, when the normal measurement mode is selected (S91: No), the control unit 24 controls the measurement unit 22 to measure blood glucose levels based on the measurement parameters, setting the radio wave intensity to 0.7 times the normal level, the measurement frequency to 5 times per second, and the number of electrodes used to 4 (S93). In this case, the radio wave intensity in the former (1.5 times the normal level) is stronger than the radio wave intensity in the latter (0.7 times the normal level), the measurement frequency in the former (20 times per second) is more than the measurement frequency in the latter (5 times per second), and the number of electrodes used in the former (8) is more than the number of electrodes used in the latter (4). Once the processing in step S92 or S93 is completed, the process proceeds to steps S66 through S67 in Figure 6. 【0061】Specifically, when a period of blood glucose fluctuation in the cyclical biorhythm (such as ovulation, luteal phase, or mid-to-late pregnancy) is detected, the radio wave intensity is increased to 1.5 times the normal level to improve measurement accuracy. On the other hand, during normal periods when no period of blood glucose fluctuation is detected (such as early pregnancy, menstruation, or follicular phase), the radio wave intensity is reduced to 0.7 times the normal level to conserve battery power. This allows for precise detection of periods when blood glucose levels are likely to rise while extending overall battery life. 【0062】 The measurement frequency is also dynamically adjusted according to the cyclical biorhythm. When a period of blood glucose fluctuation is detected, it operates in high-precision mode, performing 20 measurements per second to determine a single blood glucose level. On the other hand, during normal periods, it switches to low-precision mode, performing 5 measurements per second to determine a single blood glucose level. This allows for detailed monitoring of blood glucose fluctuations during periods of blood glucose fluctuation while optimizing battery consumption during normal periods. 【0063】 The number of electrodes used depends on the situation. When a period of blood glucose fluctuation is detected, the device operates in multi-electrode mode, using all eight electrodes (for example, if electrode 32 has eight electrodes) to precisely capture blood glucose levels. Conversely, during normal periods, it switches to a small-electrode mode (power-saving mode), using only four of the eight electrodes. This allows for improved measurement accuracy during periods of blood glucose fluctuation by measuring with multiple electrodes and using the results. Therefore, accurate blood glucose monitoring and rapid response become possible. 【0064】 In step S67, the communication unit 23 of the sensor module 11 transmits the measurement results to the information terminal 12 according to a predetermined communication method. The communication unit 54 of the information terminal 12 receives the measurement results transmitted from the sensor module 11. For example, the application 51 on the information terminal 12 can display information corresponding to the received measurement results on the display unit 52. 【0065】As described above, the measurement system 2 in Figure 5 can measure blood glucose levels by dynamically switching three measurement parameters (radio wave intensity, measurement frequency, and number of electrodes used) triggered by the detection of a blood glucose fluctuation period in the cyclical biorhythm. For example, during a blood glucose fluctuation period, the radio wave intensity can be increased for more precise measurements, while during a normal period, the radio wave intensity can be decreased to reduce power consumption. Similarly, during a blood glucose fluctuation period, the measurement frequency can be increased for more precise measurements, while during a normal period, the measurement frequency can be decreased to reduce power consumption. Furthermore, during a blood glucose fluctuation period, the number of electrodes used can be increased for more precise measurements, while during a normal period, the number of electrodes used can be decreased to reduce power consumption. This allows for a balance between optimal measurement accuracy and power consumption. 【0066】 In other words, in a measurement system (measuring device) to which this disclosure is applied, when a period of blood glucose fluctuation (e.g., a period of elevated blood glucose) in a periodic biorhythm is detected, the system transitions to a periodic biorhythm adaptive measurement mode that sets optimal measurement parameters according to the period of blood glucose fluctuation, thereby improving measurement accuracy by adjusting the measurement parameters. On the other hand, in normal measurement mode, power consumption is reduced by adjusting the measurement parameters. As a result, highly accurate monitoring can be performed during periods of blood glucose fluctuation in a periodic biorhythm, and during normal periods, the system can operate in power-saving mode to extend battery life. 【0067】 The primary method for detecting periodic biorhythms (blood glucose fluctuation periods) is manual input by the user. For example, by inputting information such as menstrual cycle information and pregnancy status through an application 51 on an information terminal 12 such as a smartphone, the control unit 24 of the sensor module 11 can estimate blood glucose fluctuation periods based on that information. It is also possible for the user or the system to select and set any blood glucose fluctuation period. This is to accommodate the fact that blood glucose fluctuation patterns may differ from user to user. 【0068】In the above explanation, the sensor module 11 selected measurement parameters from the measurement parameters transmitted from the information terminal 12 based on the result of the mode determination process. However, the information terminal 12 may also select measurement parameters based on the result of the mode determination process and transmit the selected measurement parameters. When the information terminal 12 selects measurement parameters, the sensor module 11 must notify the information terminal 12 of the processing result of the mode determination process. Alternatively, the information terminal 12 may perform the mode determination process. That is, the mode determination process (S65) in Figure 6 may be performed by the application 51 of the information terminal 12. When measuring blood glucose levels, it is not necessary to dynamically switch all four of the above measurement parameters; at least one measurement parameter may be dynamically switched. 【0069】 <<Application Example>> Figure 9 shows a first example of the configuration of an electronic device having a sensor module 11. As shown in Figure 9, the sensor module 11 can be mounted on a wearable terminal 10. The wearable terminal 10 is an electronic device that the user wears while using it, such as a smartwatch that is worn on the user's wrist like a wristwatch. The wearable terminal 10 is equipped with a main CPU and memory, and the sensor module 11 operates according to the control from the main CPU. The wearable terminal 10 also has a rechargeable battery 13 such as a lithium-ion battery, and power is supplied to each part from the rechargeable battery 13. 【0070】In the wearable terminal 10, the sensor module 11 is configured to correspond to the sensor module 11 in Figure 1 or Figure 5. For example, in the sensor module 11 in Figure 9, the control detection unit 21 or the control unit 24 controls the measurement unit 22 based on measurement parameters and measurement instructions transmitted from the information terminal 12. This makes it possible to achieve both optimal measurement accuracy in the measurement unit 22 and optimal power consumption using power from the storage battery 13. If the wearable terminal 10 is equipped with an input interface that accepts input from the user, the wearable terminal 10 may accept user input (for example, meals, basal rate changes in Figure 1, menstrual cycle information, pregnancy status, arbitrary blood glucose fluctuation period settings, etc.) on the wearable terminal 10 side instead of the UI unit 55 of the information terminal 12. The wearable terminal 10 and the information terminal 12 exchange data via wireless communication according to a predetermined communication method, but wired communication is also acceptable. 【0071】 Figure 10 shows a second example of the configuration of an electronic device having a sensor module 11. As shown in Figure 10, the wearable terminal 10 may be configured to include an information processing unit 12A together with the sensor module 11. The information processing unit 12A is configured to correspond to the information terminal 12 in Figure 1 or Figure 5. For example, the information processing unit 12A has functions corresponding to the application 51. Functions corresponding to the display unit 52, storage unit 53, and UI unit 55 may be provided by the wearable terminal 10. Since the information processing unit 12A is provided in the same housing as the sensor module 11 and connected via a predetermined input / output interface, there is no need to provide a communication unit 23 and a communication unit 54. 【0072】 For example, in the sensor module 11 of Figure 10, the control detection unit 21 or the control unit 24 controls the measurement unit 22 based on measurement parameters and measurement instructions supplied from the information processing unit 12A. This makes it possible to achieve both optimal measurement accuracy in the measurement unit 22 and optimal power consumption using power from the storage battery 13. Various sensors such as the heart rate sensor 61, blood oxygen concentration sensor 62, and skin temperature sensor 63 of Figure 1 can be mounted on the wearable terminal 10 of Figures 9 and 10. 【0073】<Computer Configuration> The series of processes described above can be executed by hardware or by software. When the series of processes are executed by software, the programs that make up that software are installed on the computer. Figure 11 is a block diagram showing an example of the hardware configuration of a computer that executes the series of processes described above by program. 【0074】 In a computer, the CPU (Central Processing Unit) 101, ROM (Read Only Memory) 102, and RAM (Random Access Memory) 103 are interconnected by a bus 104. An input / output interface 105 is further connected to the bus 104. An input / output interface 105 is connected to an input unit 106, an output unit 107, a storage unit 108, a communication unit 109, and a drive 110. 【0075】 The input unit 106 consists of a keyboard, mouse, microphone, etc. The output unit 107 consists of a display, speaker, etc. The storage unit 108 consists of a hard disk, non-volatile memory, etc. The communication unit 109 consists of a network interface, etc. The drive 110 drives a removable recording medium 111 such as semiconductor memory, magnetic disk, optical disk, or magneto-optical disk. 【0076】 In a computer configured as described above, the CPU 101 loads programs recorded in the ROM 102 and memory unit 108 into the RAM 103 via the input / output interface 105 and bus 104, and executes them, thereby performing the series of processes described above. 【0077】 The program executed by the computer (CPU 101) can be provided by recording it on a removable recording medium 111, such as a packaged media. The program can also be provided via wired or wireless transmission media, such as a local area network, the internet, or digital satellite broadcasting. 【0078】In a computer, a program can be installed in the storage unit 108 via the input / output interface 105 by inserting the removable recording medium 111 into the drive 110. Alternatively, a program can be received by the communication unit 109 via a wired or wireless transmission medium and installed in the storage unit 108. Furthermore, programs can be pre-installed in the ROM 102 or the storage unit 108. 【0079】 In this specification, the processes performed by a computer according to a program do not necessarily have to be performed chronologically in the order described in the flowchart. That is, the processes performed by a computer according to a program include processes that are executed in parallel or individually (e.g., parallel processing or object-based processing). Furthermore, the program may be processed by one computer (processor) or it may be processed in a distributed manner by multiple computers. 【0080】 The embodiments described herein are not limited to those described above, and various modifications are possible without departing from the spirit of this disclosure. Furthermore, the effects described herein are merely illustrative and not limiting, and other effects may also occur. 【0081】 Furthermore, this disclosure can take the following form. 【0082】(1) A measuring device comprising: a measuring unit that measures the biological information of a user based on S-parameters measured from the user to be measured; and a control unit that controls the measuring unit, wherein the control unit acquires measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and controls the measurement by the measuring unit based on the acquired measurement parameters. (2) The measuring device according to (1), wherein the measuring unit comprises electrodes that irradiate the target to be measured with radio waves for calculating the S-parameters, and a circuit unit that calculates the biological information based on the calculated S-parameters. (3) The measuring device according to (2), wherein the measurement parameters include radio wave intensity indicating the intensity of the radio waves at the time of measurement, measurement frequency indicating the frequency of measurements performed to determine the biological information, and number of electrodes used indicating the number of electrodes used at the time of measurement. (4) The measuring device according to (2) or (3), wherein the measurement parameters include information regarding the implementation of calibration in the measuring unit. (5) The measuring device according to (3) or (4), wherein the biological information is a blood glucose level, and the measurement parameters include a first measurement parameter used when a critical period in which insulin management is important is detected, and a second measurement parameter used when the critical period is not detected. (6) The measuring device according to (5), wherein the first measurement parameter includes a first radio wave intensity, a first measurement frequency, and a first number of electrodes used, and the second measurement parameter includes a second radio wave intensity, a second measurement frequency, and a second number of electrodes used, the first radio wave intensity is stronger than the second radio wave intensity, the first measurement frequency is more frequent than the second measurement frequency, and the first number of electrodes used is more frequent than the second number of electrodes used. (7) The measuring device according to (4), wherein the information regarding the implementation of calibration includes information indicating that it is performed for each measurement of the biological information, or that it has not been performed or is optional. (8) The control unit determines whether or not the critical period has been detected based on the input by the user, data from an external device used in continuous medical treatment, and data from an external sensor, as described in (5) or (6).(9) The measuring device according to (3), wherein the biological information is a blood glucose level, and the measurement parameters include a first measurement parameter used when a period of blood glucose fluctuation in a periodic biorhythm is detected, and a second measurement parameter used when the period of blood glucose fluctuation is not detected. (10) The measuring device according to (9), wherein the first measurement parameter includes a first radio wave intensity, a first measurement frequency, and a first number of electrodes used, and the second measurement parameter includes a second radio wave intensity, a second measurement frequency, and a second number of electrodes used, the first radio wave intensity is stronger than the second radio wave intensity, the first measurement frequency is more frequent than the second measurement frequency, and the first number of electrodes used is more frequent than the second number of electrodes used. (11) The measuring device according to (9) or (10), wherein the control unit determines whether or not the period of blood glucose fluctuation has been detected based on the input from the user. (12) The measuring device according to any one of (1) to (11), which is mounted on a wearable terminal. (13) The measuring device according to (12), wherein the measurement parameters are transmitted from another device that performs an application relating to the measurement of the biological information. (14) A measurement method comprising: measuring the biological information of a user based on S parameters measured from the user to be measured; acquiring measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm; and controlling the measurement based on the acquired measurement parameters. (15) A computer comprising a measuring unit that measures the biological information of a user based on S parameters measured from the user to be measured; and a control unit that controls the measuring unit, wherein the control unit is programmed to function as a measuring device that acquires measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and controls the measurement by the measuring unit based on the acquired measurement parameters. 【0083】1,2 Measurement system, 10 Wearable terminal, 11 Sensor module, 12 Information terminal, 12A Information processing unit, 13 Storage battery, 21 Control and detection unit, 22 Measurement unit, 23 Communication unit, 24 Control unit, 31 VNA core, 32 Electrode, 33 Blood glucose calculation unit, 41 RF unit, 42 S-parameter calculation unit, 43 Calibration unit, 51 Application, 52 Display unit, 53 Storage unit, 54 Communication unit, 55 UI unit, 61 Heart rate sensor, 62 Blood oxygen concentration sensor, 63 Skin temperature sensor, 71 Insulin pump

Claims

1. A measuring device comprising: a measuring unit that measures the biological information of a user based on S-parameters measured from the user to be measured; and a control unit that controls the measuring unit, wherein the control unit acquires measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and controls the measurement by the measuring unit based on the acquired measurement parameters.

2. The measuring device according to claim 1, wherein the measuring unit comprises an electrode that irradiates a target for measurement with radio waves for calculating the S-parameters, and a circuit unit that calculates the biological information based on the calculated S-parameters.

3. The measuring device according to claim 2, wherein the measurement parameters include radio wave intensity, which indicates the intensity of the radio waves at the time of measurement; measurement frequency, which indicates the frequency of measurements performed to determine the biological information; and number of electrodes used, which indicates the number of electrodes used at the time of measurement.

4. The measuring device according to claim 3, wherein the measurement parameters include information relating to the performance of calibration in the measuring unit.

5. The measuring device according to claim 3, wherein the biological information is a blood glucose level, and the measurement parameters include a first measurement parameter used when a critical period in which insulin management is important is detected, and a second measurement parameter used when the critical period is not detected.

6. The measuring device according to claim 5, wherein the first measurement parameter includes a first radio wave intensity, a first measurement frequency, and a first number of electrodes used; the second measurement parameter includes a second radio wave intensity, a second measurement frequency, and a second number of electrodes used; the first radio wave intensity is stronger than the second radio wave intensity; the first measurement frequency is more frequent than the second measurement frequency; and the first number of electrodes used is more frequent than the second number of electrodes used.

7. The measuring device according to claim 4, wherein the information relating to the implementation of the calibration includes information indicating that it is performed for each measurement of the biological information, or that it has not been performed or is optional.

8. The measuring device according to claim 5, wherein the control unit determines whether or not the critical period has been detected based on the input by the user, data from an external device used in continuous medical treatment, and data from an external sensor.

9. The measuring device according to claim 3, wherein the biological information is a blood glucose level, and the measurement parameters include a first measurement parameter used when a period of blood glucose fluctuation in a periodic biorhythm is detected, and a second measurement parameter used when the period of blood glucose fluctuation is not detected.

10. The measuring device according to claim 9, wherein the first measurement parameter includes a first radio wave intensity, a first measurement frequency, and a first number of electrodes used; the second measurement parameter includes a second radio wave intensity, a second measurement frequency, and a second number of electrodes used; the first radio wave intensity is stronger than the second radio wave intensity; the first measurement frequency is more frequent than the second measurement frequency; and the first number of electrodes used is more frequent than the second number of electrodes used.

11. The measuring device according to claim 9, wherein the control unit determines whether or not the blood glucose fluctuation period has been detected based on the input from the user.

12. The measuring device according to claim 1, which is mounted on a wearable device.

13. The measuring device according to claim 12, wherein the measurement parameters are transmitted from another device that performs an application relating to the measurement of biological information.

14. A measurement method comprising: measuring a user's biological information based on S-parameters measured from the user to be measured; acquiring measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm; and controlling the measurement based on the acquired measurement parameters.

15. A computer comprising a measurement unit that measures the user's biological information based on S-parameters measured from the user being measured, and a control unit that controls the measurement unit, wherein the control unit is programmed to acquire measurement parameters corresponding to continuous medical treatment for the user or the user's periodic biorhythm, and to function as a measuring device that controls the measurement by the measurement unit based on the acquired measurement parameters.

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