Measurement device, measurement method, and program

Abstract

The present disclosure relates to a measurement device, a measurement method, and a program that make it possible to achieve both optimal measurement accuracy and optimal power consumption. Provided is a measurement device comprising: a measurement unit that uses an S parameter measured by a user to be subjected to measurement as a basis to measure biological information from the user; and a control unit for controlling the measurement unit, wherein the user is a driver, and the control unit acquires a measurement parameter corresponding to the state of the driver 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 to 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 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 researched 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 was difficult to achieve both optimal measurement accuracy and power consumption because the measurement parameters were fixed during user use. 【0005】 The present disclosure has been made in view of such a situation, and is intended 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 as a measurement target, and a control unit that controls the measuring unit. The user is a driver, and the control unit is a measuring device that acquires measurement parameters corresponding to the state of the driver 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 the measuring device measuring biological information of the driver based on S parameters measured from the driver as a measurement target, acquiring measurement parameters corresponding to the state of the driver, 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 user is a driver, and the control unit acquires measurement parameters according to the driver's state and controls the measurement by the measuring unit based on the acquired measurement parameters. 【0009】 In one aspect of this disclosure, a measuring device, a measuring method, and a program are provided, in which the driver's biological information is measured based on S-parameters measured from the driver being measured, measurement parameters corresponding to the driver's state are acquired, and the measurement is controlled 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 illustrating an example configuration of one embodiment of a measurement system to which this disclosure applies. 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 illustrating an example configuration of one embodiment of a measurement system to which this disclosure applies. 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 illustrating an example configuration of one embodiment of a measurement system to which this disclosure applies. 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 VNA calibration processing. This is a block diagram illustrating an example configuration of one embodiment of a measurement system to which this disclosure applies. 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 illustrating a first example of the configuration of an electronic device having a sensor module. This is a diagram illustrating a second example of the configuration of an electronic device having a sensor module. This is a block diagram illustrating 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 user to be measured is the driver of a vehicle. The driver is not limited to the person actually driving, but also includes the person who intends to drive or the person who is taking a break from driving. 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 a short-range wireless communication standard such as Wi-Fi (Local Area Network) or 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 / pen information, 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 / pen information, 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 biometric 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 / pen information, 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 storage unit 53 is composed of a storage device such as a semiconductor memory. The storage 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 the medication time transmitted from the insulin pen 71 according to a predetermined communication method. The insulin pen 71 is a pen-type injector for using cartridge-type insulin preparations. The insulin pen 71 is also an external device with a communication function compatible with a predetermined communication method. The medication time is the time when insulin is administered into the user's body. The medication time is an example of data included in the pen information notified from the insulin pen 71. 【0025】The UI unit 55 is an input interface that accepts input from the user, and is composed of, for example, a touch panel, a software keyboard, or physical buttons. The UI unit 55 accepts input of information such as meal start time and medication administration time in response to user operations. Meal start time is information related to the user starting a meal. Medication administration time is information related to the user administering medication. The communication unit 54 transmits measurement parameters, time information, user input / pen information, 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 application 51 on the information terminal 12 checks the current time. 【0028】 In step S13, the application 51 of the information terminal 12 performs measurement parameter setting processing. In the measurement parameter setting processing, the radio wave intensity, which indicates the strength of the radio waves during measurement, the measurement frequency, which indicates the number of measurements performed per unit time to determine one blood glucose level, and the number of electrodes used, which indicates the number of electrodes used during measurement, are set. For example, information regarding the set radio wave intensity, measurement frequency, and number of electrodes used is 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 meal / medication adaptation 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. Here, "normal" refers to standard values ​​such as the settings used in conventional measurement systems (measuring devices). 【0030】 In step S14, the UI unit 55 of the information terminal 12 receives user input. For example, information such as the start of a meal or the administration of medication is entered by the user. Also, if the user administers insulin into the body using the insulin pen 71, the communication unit 54 receives pen information such as the medication time transmitted from the insulin pen 71. 【0031】 In step S15, the communication unit 54 of the information terminal 12 transmits measurement parameters, time information, user input / pen 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, time information, user input / pen information, and measurement instructions transmitted from the information terminal 12. The time information includes the current time. The user input / pen information includes information such as the start of a meal, the administration of medication, and the time of medication administration. 【0032】 In step S16, 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. 【0033】In step S17, 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 for meals / medication or for normal measurement. Figure 3 is a flowchart illustrating the flow of the mode determination process. In step S31, it is determined whether or not there are signs of eating. For example, based on user input, the control detection unit 21 determines that there are signs of eating in the user when the user has entered the input to start eating. In addition, 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, and determines that there are signs of eating in the user when the start of eating is detected. 【0034】 In step S31, if it is determined that there are signs of eating, the system enters the meal / medication suitability measurement mode (S32). On the other hand, if it is determined that there are no signs of eating in step S31, the process proceeds to step S33. In step S33, it is determined whether or not there are signs of medication. For example, the control detection unit 21 determines that there are signs of medication from the user when the user has entered an input indicating that medication should be administered, based on user input. Also, the control detection unit 21 determines that there are signs of medication from the user when it is detected that the current time is medication time, based on pen information from the insulin pen 71. In step S33, if it is determined that there are signs of medication, the system enters the meal / medication suitability measurement mode (S32). On the other hand, if it is determined that there are no signs of medication from step S33, the system enters the normal measurement mode (S34). When the processing in step S32 or S34 is completed, the process proceeds from step S17 to step S18 in Figure 2. 【0035】 In step S18, 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 the blood glucose measurement process. In the blood glucose measurement process, 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. 【0036】Figure 4 is a flowchart illustrating the flow of the blood glucose measurement process. In the blood glucose measurement process, when the meal / medication-appropriate measurement mode is selected (S41: Yes), 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 1.5 times the normal level, the measurement frequency to 20 times per second, and the number of electrodes used to 8 (S42). On the other hand, when the normal measurement mode is selected (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). 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 greater than the measurement frequency in the latter (5 times per second), and the number of electrodes used in the former (8) is greater than the number of electrodes used in the latter (4). Once the processing in step S42 or S43 is completed, the process proceeds to steps S18 through S19 in Figure 2. 【0037】 Specifically, when signs of the driver (the user being measured) eating or taking medication are detected, the radio wave intensity is increased to 1.5 times the normal level to improve measurement accuracy. On the other hand, in normal conditions where no signs of the driver eating or taking medication are detected, the radio wave intensity is reduced to 0.7 times the normal level to conserve battery power. For example, when the driver inputs that they have started eating or taken medication, the device operates in a high-precision mode with improved measurement accuracy, and at other times, it operates in a power-saving mode that conserves battery power. This allows for precise capture of situations where fluctuations in the driver's blood glucose level are predicted, while extending overall battery life. 【0038】 The measurement frequency is also dynamically adjusted depending on whether signs of the driver having eaten or taken medication are detected. If signs of the driver having eaten or taken medication are detected, it operates in high-precision mode, performing 20 measurements per second to determine a single blood glucose level. On the other hand, under normal conditions, 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 after meals or medication while optimizing battery consumption under normal conditions. 【0039】 The number of electrodes used depends on the driver's eating or medication status. To precisely capture blood glucose fluctuations, the device operates in multi-electrode mode, using all eight electrodes if, for example, electrode 32 has eight electrodes. Under normal conditions, it switches to a small-electrode mode (power-saving mode), using only four of the eight electrodes. This allows for improved measurement accuracy by measuring with multiple electrodes and using the results after meals or medication. Therefore, accurate blood glucose monitoring and rapid response are possible. 【0040】 In step S19, 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. 【0041】 As described above, the measurement system 1 in Figure 1 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 signs of the driver having eaten or taken medication. For example, after the driver has eaten or taken medication, the radio wave intensity can be increased for more precise measurements, while at other times, the radio wave intensity can be decreased to reduce power consumption. Similarly, after the driver has eaten or taken medication, the measurement frequency can be increased for more precise measurements, while at other times, the measurement frequency can be decreased to reduce power consumption. Furthermore, after the driver has eaten or taken medication, the number of electrodes used can be increased for more precise measurements, while at other times, the number of electrodes used can be decreased to reduce power consumption. 【0042】In conventional measurement systems (measuring devices), the measurement parameters were fixed during user use, making it difficult to perform optimal measurements for various use cases (such as after a driver has eaten or taken medication). The three measurement parameters mentioned above have a trade-off relationship: some improve measurement accuracy but consume more power, while others consume less power but have lower measurement accuracy. For example, fixed measurement parameters could not adequately capture fluctuations in blood glucose levels after a driver has eaten or taken medication, making it impossible to achieve optimal measurement accuracy for each use case. On the other hand, using measurement parameters that prioritize accuracy shortens the battery life. Therefore, it is difficult to balance measurement accuracy and power consumption, and there is a trade-off problem where, for example, high-precision measurement increases power consumption, and conversely, reducing power consumption decreases measurement accuracy. In this disclosure, by dynamically switching measurement parameters triggered by the detection of signs of a driver having eaten or taken medication, it is possible to achieve both optimal measurement accuracy and power consumption when measuring blood glucose levels. 【0043】 In other words, in a measurement system (measuring device) to which this disclosure is applied, when it detects that the driver has eaten or taken medication, it switches to a meal / medication-adapted measurement mode and adjusts the measurement parameters to improve measurement accuracy. On the other hand, in normal measurement mode, it adjusts the measurement parameters to reduce power consumption. As a result, highly accurate monitoring can be performed when blood glucose levels fluctuate after the driver has eaten or taken medication, and in normal conditions, it can operate in power-saving mode to extend battery life. 【0044】As a method for detecting signs of a driver's meal or medication, manual input by the user can be mainly used. For example, when the driver starts a meal or takes medication, information regarding the start of the meal or the administration of medication can be input through an application 51 of an information terminal 12 such as a smartphone. As another method, for detecting a meal, biometric information (biometric information other than blood glucose level) obtained from an external sensor can be used. Specifically, by comprehensively analyzing external sensor data from a heart rate sensor 61, a blood oxygen concentration sensor 62, and a skin temperature sensor 63 to capture composite biometric reactions such as changes in heart rate, fluctuations in blood oxygen concentration, and an increase in skin temperature, the start of a meal can be detected, and measurement parameters can be adjusted at an appropriate timing. Regarding the detection of medication, the insulin pen 71 and the information terminal 12 may be linked so that the driver's administration of medication can be automatically detected. 【0045】 In the above description, a 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, on the information terminal 12 side, measurement parameters based on the determination result of the mode determination process may be selected and the selected measurement parameters may be transmitted. When selecting measurement parameters on the information terminal 12 side, 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 side may execute the mode determination process. That is, the mode determination process (S17) in FIG. 2 may be executed by the application 51 of the information terminal 12. 【0046】 The measurement parameters stored in advance in the storage unit 53 are, for example, acquired 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 three measurement parameters, and at least one measurement parameter may be dynamically switched. 【0047】 <<Second Embodiment>> 【0048】 <System Configuration> Figure 5 is a block diagram showing a configuration example of an embodiment of a measurement system to which the present disclosure is applied. In the measurement system 2 of Figure 5, parts corresponding to those of the measurement system 1 of Figure 1 are given the same reference numerals, and their descriptions are omitted as appropriate. The user to be measured is a driver. 【0049】 In the measurement system 2 of Figure 5, a control unit 24 is provided instead of the control detection unit 21 as compared with 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. 【0050】 In the information terminal 12 of Figure 5, the UI unit 55 receives input of information such as start of driving according to the user's operation. The start of driving is information indicating that the user starts driving the vehicle 81. Also, the communication unit 54 receives external vehicle data transmitted from the vehicle 81 according to a predetermined communication method. The vehicle 81 has a communication function corresponding to the predetermined communication method. The external vehicle data includes information related to the start of driving. The communication unit 54 transmits measurement parameters, time information, driving status, and measurement instructions to the sensor module 11 according to a predetermined communication method. The driving status includes information on the start of driving. In the sensor module 11 of Figure 5, the control unit 24 controls the measurement unit 22 based on the measurement parameters, time information, driving status, and measurement instructions transmitted from the information terminal 12. 【0051】 <Flow of Processing> Next, referring to the flowchart of Figure 6, the flow of measurement processing executed by the measurement system 2 of Figure 5 will be described. 【0052】 In steps S61 and S62, similar to steps S11 and S12 of Figure 2, the system is activated and the current time is confirmed. In step S63, the driving status is acquired. For example, the driving status is acquired by the UI unit 55 receiving information on the start of driving according to user input, or the communication unit 54 receiving external vehicle data (including information on the start of driving) from the vehicle 81. 【0053】In step S64, 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. 【0054】 Specifically, in the measurement mode adapted to the risk of hypoglycemia during driving, the measurement parameters can be set to 1.5 times the normal level, a measurement frequency of 20 times per second, and 8 electrodes used. In the normal measurement mode, the measurement parameters can be set to 0.7 times the normal level, a measurement frequency of 5 times per second, and 4 electrodes used. 【0055】 In step S65, the communication unit 54 of the information terminal 12 transmits measurement parameters, time information, operating status, 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, operating status, and measurement instructions transmitted from the information terminal 12. The time information includes the current time. The operating status includes information on the start of operation. 【0056】 In step S66, the control unit 24 of the sensor module 11 performs a mode determination process. The mode determination process determines whether to enter the driving hypoglycemia risk adaptive measurement mode or the normal measurement mode. Figure 7 is a flowchart illustrating the flow of the mode determination process. In step S81, it is determined whether a certain amount of time (for example, 2 hours) has elapsed since the start of operation, based on time information and driving conditions. If it is determined in step S81 that a certain amount of time has elapsed since the start of operation, the driving hypoglycemia risk adaptive measurement mode is entered (S82). On the other hand, if it is determined in step S81 that a certain amount of time has not elapsed since the start of operation, the normal measurement mode is entered (S83). Note that, by determining whether or not it is a time of day when the risk of hypoglycemia is high, the system may transition to the driving hypoglycemia risk adaptive measurement mode during a time of high risk. When the processing in step S82 or S83 is completed, the process proceeds from step S66 to step S67 in Figure 6. 【0057】In step S67, 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. 【0058】 Figure 8 is a flowchart illustrating the flow of the blood glucose measurement process. In the blood glucose measurement process, when the measurement mode is adapted to the risk of hypoglycemia during operation (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 measurement mode is normal (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 S67 through S68 in Figure 6. 【0059】 Specifically, after a certain period of time (for example, 2 hours) has elapsed since the driver started driving, the radio signal strength is increased to 1.5 times the normal level to improve measurement accuracy. On the other hand, during normal operation at other times, the radio signal strength is reduced to 0.7 times the normal level to conserve battery power. For example, for 30 minutes starting 2 hours after the start of driving, it operates in a high-precision mode with improved measurement accuracy, and at other times, it operates in a power-saving mode that conserves battery power. This allows for precise detection of the time period when the risk of blood glucose levels is high while driving, while also extending overall battery life. 【0060】The measurement frequency is also dynamically adjusted according to the driving time. After a certain period of time has elapsed since the driver started driving, it operates in high-precision mode, performing 20 measurements per second to determine a single blood glucose level. On the other hand, under normal conditions, 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 when the risk of hypoglycemia is high while driving, while optimizing battery consumption under normal conditions. 【0061】 The number of electrodes used depends on the time elapsed since the driver started driving. To precisely capture the risk of blood glucose levels, for example, if electrode 32 has eight electrodes, it operates in multi-electrode mode using all eight electrodes. On the other hand, under normal conditions, it switches to a small-electrode mode (power-saving mode) using only four of the eight electrodes. This allows for improved measurement accuracy by measuring with multiple electrodes and using the results during periods when the risk of hypoglycemia during driving is high. Therefore, accurate blood glucose monitoring and rapid response become possible. 【0062】 In step S68, 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. 【0063】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 a certain period of time elapsed after the driver started driving. This allows for both optimal measurement accuracy and power consumption. Here, after a certain period of time has elapsed since the start of driving, the measurement parameters are adjusted to improve measurement accuracy in order to determine hypoglycemia, which poses a risk during driving, while in normal conditions the measurement parameters can be adjusted to reduce power consumption. This enables highly accurate monitoring during periods when the risk of hypoglycemia during driving is high. In addition, in normal conditions, it operates in power-saving mode, extending the battery life. 【0064】 The primary method for obtaining information about the start of driving is manual input by the driver. For example, when the driver starts driving, they can input the start of driving through an application 51 installed on the information terminal 12. Alternatively, an automatic detection function linked between the information terminal 12 and the vehicle 81 may be used. Specifically, if the information terminal 12 has an acceleration sensor and GPS (Global Positioning System) function, the system may automatically detect the start of driving by the driver by combining acceleration sensor data, GPS data, etc., with the engine start signal of the vehicle 81. This reduces the burden of manual input by the driver and makes it possible to switch modes at a more accurate timing. 【0065】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 (S66) 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 three of the above measurement parameters; at least one measurement parameter may be dynamically switched. 【0066】 <<Third Embodiment>> 【0067】 <System Configuration> Figure 9 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 3 of Figure 9, the same reference numerals are used for parts corresponding to the measurement system 2 of Figure 5, and their descriptions are omitted as appropriate. The user being measured is the driver. 【0068】 In the measurement system 3 of Figure 9, compared to the measurement system 2 of Figure 5, the control unit 24 controls VNA calibration during measurement by the measurement unit 22 based on measurement parameters, time information, operating status, and measurement instructions transmitted from the information terminal 12. In the information terminal 12 of Figure 5, the application 51 sets information related to the implementation of VNA calibration as measurement parameters. 【0069】 <Processing Flow> Next, referring to the flowchart in Figure 10, the flow of the measurement process performed by the measurement system 3 in Figure 9 will be explained. 【0070】 In steps S101 and S102, the system is started and the current time is confirmed, similar to steps S61 and S62 in Figure 6. In step S103, the operating status is acquired, similar to step S63 in Figure 6. 【0071】In step S104, the application 51 on the information terminal 12 performs measurement parameter setting processing. During measurement parameter setting processing, information regarding the implementation of VNA calibration is set. For example, information regarding the implementation of VNA calibration is pre-stored in the storage unit 53. 【0072】 Specifically, in the operation-dependent VNA calibration measurement mode, the measurement parameter can be set to enable VNA calibration. Conversely, in the power-saving mode, the measurement parameter can be set to disable VNA calibration. In the measurement parameter setting process, the radio wave intensity, measurement frequency, and number of electrodes used can be set for each mode, similar to step S64 in Figure 6. 【0073】 In step S105, similar to step S65 in Figure 6, the communication unit 54 of the information terminal 12 transmits measurement parameters, time information, operating status, 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, operating status, and measurement instructions transmitted from the information terminal 12. 【0074】 In step S106, the control unit 24 of the sensor module 11 performs a mode determination process. The mode determination process determines whether the system is in operation-dependent VNA calibration measurement mode or power-saving mode. Figure 11 is a flowchart illustrating the flow of the mode determination process. In step S121, it is determined whether a certain period of time (for example, 30 minutes) has passed since the start of operation, based on time information and operating conditions. If it is determined in step S121 that it is a certain period of time since the start of operation, the system enters operation-dependent VNA calibration measurement mode (S122). On the other hand, if it is determined in step S121 that it is not a certain period of time since the start of operation, the system enters power-saving mode (S123). Once the processing in step S122 or S123 is completed, the process proceeds from step S106 to step S107 in Figure 10. 【0075】In step S107, the control unit 24 of the sensor module 11 performs VNA calibration processing by controlling 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. Figure 12 is a flowchart illustrating the flow of the VNA calibration processing. In the VNA calibration processing, if the operating VNA calibration adaptive measurement mode is selected (S131: Yes), the control unit 24 controls the calibration unit 43 based on the measurement parameters to perform VNA calibration (S132). On the other hand, if the power saving mode is selected (S131: No), the control unit 24 decides not to perform VNA calibration based on the measurement parameters (S133). When the processing in step S132 or S133 is completed, the process proceeds from step S107 to step S108 in Figure 10. 【0076】 Specifically, VNA calibration will be performed for a certain period (e.g., 30 minutes) after the driver starts driving. In other words, because the temperature inside the vehicle is expected to fluctuate significantly and the measurement environment is expected to be unstable during this period after driving starts, VNA calibration will be performed frequently to maintain high measurement accuracy. For example, VNA calibration can be performed after each blood glucose measurement. The frequency of VNA calibration can also be set. After the specified period has elapsed, the system will switch to a power-saving mode that does not perform VNA calibration, assuming that the measurement environment has stabilized. 【0077】 In step S108, similar to step S67 in Figure 6, the control unit 24 of the sensor module 11 controls the measurement unit 22 based on the measurement parameters, measurement instructions, and the processing results of the mode determination process, thereby performing the blood glucose measurement process. In step S109, similar to step S68 in Figure 6, the measurement results are transmitted from the sensor module 11 to the information terminal 12. 【0078】As described above, the measurement system 3 in Figure 9 can dynamically switch measurement parameters (whether or not to perform VNA calibration) based on a trigger such as a certain period of time after the operator starts operation, thereby adjusting the implementation of VNA calibration. For example, by switching whether or not to perform VNA calibration between the period of large temperature fluctuations immediately after the start of operation and the subsequent stable period, measurement accuracy and power consumption can be optimized. This enables highly accurate monitoring even in the unstable measurement environment immediately after the start of operation. Furthermore, after the environment stabilizes, it can operate in power-saving mode to extend the battery life. 【0079】 <<Fourth Embodiment>> 【0080】 <System Configuration> Figure 13 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 4 of Figure 13, the same reference numerals are used for parts corresponding to the measurement system 2 of Figure 5, and their descriptions are omitted as appropriate. The user being measured is the driver. 【0081】 In the information terminal 12 shown in Figure 13, the UI unit 55 accepts input of information such as vehicle access start and start-up start in response to user operations. Vehicle access start is information indicating that the user has started accessing the vehicle 81. Start-up start is information indicating that the vehicle 81 has started to start. The communication unit 54 also receives external vehicle data transmitted from the vehicle 81 according to a predetermined communication method. The external vehicle data includes information regarding vehicle access start and start-up start. The communication unit 54 transmits measurement parameters, vehicle access / start-up status, and measurement instructions to the sensor module 11 according to a predetermined communication method. The vehicle access / start-up status includes information regarding vehicle access start and start-up start. 【0082】In the sensor module 11 shown in Figure 13, the control unit 24 controls the measurement unit 22 based on measurement parameters, vehicle access / start status, and measurement instructions transmitted from the information terminal 12. The communication unit 23 transmits the measurement results, including the blood glucose level calculated by the measurement unit 22, to the information terminal 12 according to a predetermined communication method. In the information terminal 12 shown in Figure 13, the communication unit 54 receives the measurement results transmitted from the sensor module 11 according to a predetermined communication method. The application 51 then performs biometric authentication and status evaluation processing based on the received measurement results. In the biometric authentication and status evaluation processing, it is confirmed whether the blood glucose level measured is within the normal range, and further, the feasibility of the operation of various parts of the vehicle 81 (for example, whether the doors can be opened or the engine can be started) is determined. 【0083】 Application 51 generates a vehicle control signal based on the evaluation results and supplies it to the communication unit 54. The communication unit 54 transmits the vehicle control signal to the vehicle 81 according to a predetermined communication method. In the vehicle 81 shown in Figure 13, the vehicle control signal transmitted from the information terminal 12 is received, and actions are performed based on the received vehicle control signal. For example, in the vehicle 81, the vehicle control signal is used to control whether to allow or prohibit opening the doors, or to allow or prohibit starting the engine. 【0084】 <Processing Flow> Next, referring to the flowchart in Figure 14, the flow of the measurement process performed by the measurement system 4 in Figure 13 will be explained. 【0085】 In step S141, the system is started up, similar to step S61 in Figure 5. In step S142, the vehicle access / start status is acquired. For example, the UI unit 55 of the information terminal 12 receives information about the start of vehicle access and the start of startup in response to user input, or the communication unit 54 of the information terminal 12 receives external vehicle data from the vehicle 81, thereby acquiring the vehicle access / start status. 【0086】In step S143, 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. 【0087】 Specifically, in the vehicle access biometric authentication / state evaluation adaptive measurement mode, the measurement parameters can be set to 1.5 times the normal level, 20 measurement cycles per second, and 8 electrodes used. 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 used. 【0088】 In step S144, the communication unit 54 of the information terminal 12 transmits measurement parameters, vehicle access / start status, 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, vehicle access / start status, driving status, and measurement instructions transmitted from the information terminal 12. The vehicle access / start status includes information on vehicle access start and start-up start. 【0089】 In step S145, the control unit 24 of the sensor module 11 performs a mode determination process. The mode determination process determines whether the system will be in vehicle access biometric authentication / state evaluation adaptive measurement mode or normal measurement mode. Figure 15 is a flowchart illustrating the flow of the mode determination process. In step S161, it is determined whether or not signs of vehicle access or startup have been detected based on the vehicle access / starting status. If it is determined in step S161 that signs of vehicle access or startup have been detected, the system will be in vehicle access biometric authentication / state evaluation adaptive measurement mode (S162). On the other hand, if it is determined in step S161 that no signs of vehicle access or startup have been detected, the system will be in normal measurement mode (S163). Once the processing in step S162 or S163 is completed, the process proceeds from step S145 to step S146 in Figure 14. 【0090】In step S146, 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. 【0091】 Figure 16 is a flowchart illustrating the flow of the blood glucose measurement process. In the blood glucose measurement process, when the vehicle access biometric authentication / state evaluation adaptive measurement mode is selected (S171: 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 (S172). On the other hand, when the normal measurement mode is selected (S171: 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 (S173). 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 S172 or S173 is completed, the process proceeds to steps S146 through S147 in Figure 14. 【0092】 Specifically, when signs of a driver attempting to access the vehicle are detected, the radio signal strength is increased to 1.5 times the normal level to improve measurement accuracy. On the other hand, in normal conditions where no signs of vehicle access are detected, the radio signal strength is reduced to 0.7 times the normal level to conserve battery power. For example, when it is detected that a driver is approaching vehicle 81, the system operates in a high-precision mode with improved measurement accuracy, and at other times, it operates in a power-saving mode that conserves battery power. This allows for precise blood glucose measurement necessary for biometric authentication and status evaluation while extending overall battery life. 【0093】The measurement frequency is also dynamically adjusted in response to signs of vehicle access. When signs of vehicle access by the driver are detected, the system operates in high-precision mode, performing 20 measurements per second to determine a single blood glucose level. Conversely, under normal conditions, 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 levels during vehicle access while optimizing battery consumption under normal conditions. 【0094】 The number of electrodes used depends on the situation. When signs of the driver starting to access the vehicle are detected, the device operates in multi-electrode mode, using all eight electrodes if, for example, electrode 32 has eight electrodes, in order to precisely capture blood glucose levels. On the other hand, under normal conditions, it switches to a small-electrode mode (power-saving mode) that uses only four of the eight electrodes. This allows for improved measurement accuracy by measuring with multiple electrodes and using the results when the vehicle is accessed. Thus, accurate biometric authentication and status assessment become possible. 【0095】 In step S147, the communication unit 23 of the sensor module 11 transmits the measurement result to the information terminal 12 according to a predetermined communication method. The communication unit 54 of the information terminal 12 receives the measurement result transmitted from the sensor module 11. At this time, if it is the vehicle access biometric authentication / state evaluation adaptive measurement mode, the processes in steps S148 and S149 are further executed. 【0096】 In step S148, the application 51 of the information terminal 12 performs biometric authentication and state evaluation processing based on the measurement results received from the sensor module 11. In the biometric authentication and state evaluation processing, it is confirmed whether the blood glucose level measured is within the normal range (i.e., not an abnormal value), and based on the confirmation result, the operation of each part of the vehicle 81 is confirmed. Based on the evaluation result, the application 51 generates vehicle control signals. For example, if the measured blood glucose level is within the normal range, a vehicle control signal is generated that includes information indicating permission to open the doors or start the engine. If the measured blood glucose level is outside the normal range, a vehicle control signal is generated that includes information indicating prohibition on opening the doors or starting the engine. 【0097】 In step S149, the communication unit 54 of the information terminal 12 transmits a vehicle control signal to the vehicle 81 according to a predetermined communication method. The vehicle 81 receives the vehicle control signal transmitted from the information terminal 12 and performs actions based on the received vehicle control signal. For example, the vehicle 81 is controlled to allow or prohibit the opening of the doors or to allow or prohibit the starting of the engine based on the vehicle control signal. This enables safety functions such as door opening control of the vehicle 81 based on the blood glucose level of the driver being measured (for example, the doors will not be opened if the blood glucose level is outside the normal range) and determination of whether or not the vehicle can be started (for example, the engine will not be allowed to start if an abnormal blood glucose level is detected). 【0098】 As described above, the measurement system 4 in Figure 13 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 signs that the driver has started to access the vehicle. This allows for both optimal measurement accuracy and power consumption. Furthermore, when signs that the driver has started to access the vehicle are detected, the measurement parameters are adjusted to improve measurement accuracy for driver biometric authentication and status evaluation, while in normal conditions the measurement parameters are adjusted to reduce power consumption. This enables highly accurate monitoring when the driver accesses the vehicle. In addition, in normal conditions, it operates in power-saving mode, extending the battery life. 【0099】The primary method for obtaining information about the start of vehicle access is manual input by the driver. For example, when the driver approaches the vehicle 81, they can input the start of vehicle access through an application 51 installed on the information terminal 12. Alternatively, an automatic detection function can be used through the cooperation of the information terminal 12 and the vehicle 81. Specifically, the communication unit 54 of the information terminal 12 may automatically detect the driver's approach to the vehicle 81 by combining communication methods such as communication with the vehicle 81's keyless entry system, GPS data, and Bluetooth® beacons. This reduces the burden of manual input by the driver and makes it possible to switch modes at a more accurate timing. 【0100】 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 (S145) in Figure 14 may be performed by the application 51 on the information terminal 12. When measuring blood glucose levels, it is not necessary to dynamically switch all three of the above measurement parameters; at least one measurement parameter may be dynamically switched. 【0101】<<Application Example>> Figure 17 shows a first example of the configuration of an electronic device having a sensor module 11. As shown in Figure 17, the sensor module 11 can be mounted on a wearable terminal 10. The wearable terminal 10 is an electronic device used by the user while wearing it, such as a smartwatch 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. Note that the sensor module 11 is not limited to the wearable terminal 10, but may also be mounted separately in places that come into contact with the user. Examples include the door part of the vehicle 81 that is contacted when accessing the vehicle, the engine start button part when starting the engine, and the steering wheel and shift knob part when driving. In this case, communication with the information terminal 12 is not limited to wireless, but may also be by wired connection. 【0102】 In the wearable terminal 10, the sensor module 11 is configured to correspond to the sensor module 11 in Figures 1, 5, 9, or 13. For example, in the sensor module 11 of Figure 17, the control detection unit 21 or 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, starting a meal or taking medication in Figure 1, starting operation in Figures 5 and 9, starting access or starting up in Figure 13) 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. 【0103】Figure 18 shows a second example of the configuration of an electronic device having a sensor module 11. As shown in Figure 18, 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 Figures 1, 5, 9, or 13. 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. 【0104】 For example, in the sensor module 11 of Figure 18, 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 17 and 18. The wearable terminal 10 may also communicate with the insulin pen 71 and the vehicle 81 according to a predetermined communication method and cooperate with them. 【0105】 <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 19 is a block diagram showing an example of the hardware configuration of a computer that executes the series of processes described above by program. 【0106】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. 【0107】 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. 【0108】 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. 【0109】 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. 【0110】 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. 【0111】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. 【0112】 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. 【0113】 Furthermore, this disclosure can take the following form. 【0114】(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 user is a driver; and the control unit acquires measurement parameters according to the state of the driver 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 (3), wherein the measurement parameters include a first measurement parameter used when signs of eating or taking medication by the driver are detected; and a second measurement parameter used when signs of eating and taking medication by the driver are not detected. (5) The measuring device according to (4), 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, wherein 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. (6) The measuring device according to (4) or (5), wherein the control unit determines whether or not signs of the driver eating or taking medication have been detected based on input from the driver, data from an external sensor, or data from an external device. (7) The measuring device according to (3), wherein the measurement parameter includes a first measurement parameter used when a certain period of time has elapsed since the driver started driving, and a second measurement parameter used when the time is other than the certain period of time since the driver started driving.(8) The measuring device according to (7), 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. (9) The measuring device according to (7) or (8), wherein the control unit determines whether a certain amount of time has elapsed since the driver started driving based on input from the driver or data from the vehicle. (10) The measuring device according to (3), wherein the measurement parameter includes information regarding the implementation of calibration in the measurement unit. (11) The measuring device according to (10), wherein the measurement parameters include, as a first measurement parameter when a certain period has elapsed since the start of driving by the driver, information indicating that the calibration has been performed, and as a second measurement parameter when a certain period has elapsed since the start of driving by the driver, information indicating that the calibration has not been performed. (12) The measuring device according to (3), wherein the measurement parameters include, as a first measurement parameter used when signs of the driver accessing the vehicle or starting the vehicle are detected, and as a second measurement parameter used when signs of the driver accessing the vehicle or starting the vehicle are not detected. (13) The measuring device according to (12), 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. (14) The measuring device according to (12) or (13), wherein when signs of vehicle access or starting by the driver are detected, the biological information measured by the measurement unit is evaluated, and a vehicle control signal based on the evaluation result is transmitted to the vehicle.(15) The measuring device according to any one of (12) to (14), wherein the control unit determines whether an indication of the driver accessing the vehicle or starting the vehicle has been detected based on input from the driver or data from the vehicle. (16) The measuring device according to any one of (1) to (15), wherein the biological information is a blood glucose level. (17) The measuring device according to any one of (1) to (16), which is mounted on a wearable terminal. (18) The measuring device according to (17), wherein the measurement parameters are transmitted from another device that executes an application relating to the measurement of the biological information. (19) A measurement method comprising: measuring the driver's biological information based on S parameters measured from the driver to be measured; acquiring measurement parameters corresponding to the driver's state; and controlling the measurement based on the acquired measurement parameters. (20) A computer comprising a measurement 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 measurement unit, wherein the user is a driver, and the control unit is programmed to acquire measurement parameters according to the state of the driver and to function as a measuring device that controls the measurement by the measurement unit based on the acquired measurement parameters. 【0115】 1, 2, 3, 4 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 pen, 81 Vehicle

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 user is a driver; and the control unit acquires measurement parameters according to the state of the driver 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 a first measurement parameter used when signs of the driver eating or taking medication are detected, and a second measurement parameter used when signs of the driver eating or taking medication are not detected.

5. The measuring device according to claim 4, 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.

6. The measuring device according to claim 4, wherein the control unit determines whether or not signs of the driver eating or taking medication have been detected based on input from the driver, data from an external sensor, or data from an external device.

7. The measuring device according to claim 3, wherein the measurement parameters include a first measurement parameter used when a certain period of time has elapsed since the start of operation by the driver, and a second measurement parameter used when the time is other than the certain period of time since the start of operation by the driver.

8. The measuring device according to claim 7, 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.

9. The measuring device according to claim 7, wherein the control unit determines, based on input from the driver or data from the vehicle, whether a certain amount of time has elapsed since the driver started driving.

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

11. The measuring device according to claim 10, wherein the measurement parameters include, as a first measurement parameter when a certain period has elapsed since the start of operation by the driver, information indicating that the calibration has been performed, and as a second measurement parameter when a certain period has elapsed since the start of operation by the driver, information indicating that the calibration has not been performed.

12. The measuring device according to claim 3, wherein the measurement parameters include a first measurement parameter used when an indication of the driver accessing the vehicle or starting the vehicle is detected, and a second measurement parameter used when no indication of the driver accessing the vehicle or starting the vehicle is detected.

13. The measuring device according to claim 12, 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.

14. The measuring device according to claim 12, wherein when an indication of vehicle access or starting by the driver is detected, the biological information measured by the measuring unit is evaluated, and a vehicle control signal based on the evaluation result is transmitted to the vehicle.

15. The measuring device according to claim 12, wherein the control unit determines, based on input from the driver or data from the vehicle, whether or not an indication of the driver accessing the vehicle or starting the vehicle has been detected.

16. The measuring device according to claim 1, wherein the biological information is a blood glucose level.

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

18. The measuring device according to claim 17, wherein the measurement parameters are transmitted from another device that performs an application relating to the measurement of biological information.

19. A measurement method comprising: measuring biological information of a driver based on S-parameters measured from the driver to be measured; acquiring measurement parameters corresponding to the driver's condition; and controlling the measurement based on the acquired measurement parameters.

20. A computer comprising a measurement 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 measurement unit, wherein the user is a driver, and the control unit is programmed to acquire measurement parameters according to the state of the driver 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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