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 measures biological information of a user serving as a measurement target, on the basis of an S parameter measured from the user; and a control unit that controls the measurement unit, wherein the control unit acquires a measurement parameter according to a meal or an exercise by the user, and controls measurement by the measurement unit on the basis of the acquired measurement parameter. The present disclosure can be applied to, for example, a sensor module mounted on 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 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 as a measurement target, and a control unit that controls the measuring unit. The control unit acquires measurement parameters corresponding to meals or exercise by the user, 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 as a measurement target, acquiring measurement parameters corresponding to meals or exercise by the user, 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 the user's diet or exercise, and controls the measurement by the measuring unit based on the acquired measurement parameters. 【0009】 In one aspect of this disclosure, a measuring device, measuring method, and program are used to measure the user's biological information based on S-parameters measured from the user being measured, to acquire measurement parameters corresponding to the user's diet or exercise, 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 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 lifestyle pattern determination processing. This is a flowchart illustrating the flow of VNA calibration 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 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 biological information monitoring processing. This is a flowchart illustrating the flow of blood glucose fluctuation sign detection 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 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 unit 21, a measurement unit 22, and a communication unit 23. The control unit 21 is composed of a processor such as a CPU (Central Processing Unit) or a microcontroller including a CPU and memory. The control unit 21 controls each part of the sensor module 11. For example, the control unit 21 controls the measurement unit 22 based on measurement parameters 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 and measurement instructions transmitted from the information terminal 12 according to a predetermined communication method and supplies them to the control 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 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. 【0022】 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 transmits measurement parameters 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. 【0023】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 such as meal times, exercise times, and the frequency of VNA calibration in response to user operations. Meal times refer to the time spent by the user on meals. Exercise times refer to the time spent by the user on exercise. 【0024】 <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. 【0025】 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. 【0026】 In step S13, the application 51 of the information terminal 12 performs a lifestyle pattern determination process. In the lifestyle pattern determination process, the user's lifestyle patterns, such as eating and exercising, are determined based on meal times and exercise times. Meal times and exercise times are input by the user via the UI unit 55. Meal times and exercise times can be entered by the user when they eat or exercise, or they can be entered in advance. 【0027】 Figure 3 is a flowchart illustrating the flow of the lifestyle pattern determination process. In step S31, it is determined whether the current time is mealtime. For example, the time slots of 7:00-8:00 for breakfast, 12:00-13:00 for lunch, and 19:00-20:00 for dinner are determined to be mealtimes (S31: Yes). Note that mealtimes can include not only the actual time spent eating, but also a certain period after the meal (post-meal time). 【0028】If it is determined in step S31 that it is not mealtime, the process proceeds to step S32. In step S32, it is determined whether the current time is exercise time. For example, if the user is exercising between 18:00 and 19:00, it is determined to be exercise time (S32: Yes). If it is determined in step S32 that it is not exercise time, it is considered a time other than mealtime or exercise time. In the lifestyle pattern determination process in Figure 3, it is determined that it is mealtime, exercise time, or another time, depending on the user's lifestyle pattern. The process then proceeds from step S13 to step S14 in Figure 2. 【0029】 In step S14, the application 51 of the information terminal 12 performs the first measurement parameter setting process. In the first measurement parameter setting process, the radio wave intensity, which indicates the strength of the radio waves at the time of 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.). 【0030】 Application 51 can set measurement parameters according to the information stored in the memory unit 53 based on the determination result of the lifestyle pattern determination process. Specifically, if it is determined that it is mealtime or exercisetime, the measurement parameters can be set to 1.5 times the normal radio wave intensity, 20 times per second measurement frequency, and 8 electrodes used. If it is determined that it is a time other than mealtime or exercisetime, the measurement parameters can be set to 0.7 times the normal radio wave intensity, 5 times per second measurement frequency, and 4 electrodes used. Note that this explanation describes the case where the measurement parameters based on the determination result of the lifestyle pattern determination process are selected on the information terminal 12 side, but they may also be selected on the sensor module 11 side. "Normal" here refers to a standard value, such as a set value used in conventional measurement systems (measuring devices). 【0031】 In step S15, the application 51 on the information terminal 12 performs a second measurement parameter setting process. In the second measurement parameter setting process, it is set whether or not to perform VNA calibration. Here, it is possible to select whether or not to perform VNA calibration depending on the judgment result of the lifestyle pattern determination process and the frequency of VNA calibration. For example, if it is determined that it is outside of exercise time based on the judgment result of the lifestyle pattern determination process, VNA calibration will be performed (Performed: Yes), and if it is determined that it is exercise time, VNA calibration will not be performed (Performed: No). In addition, the frequency of performance can be set to each time measurement is taken, once a day, once a week, or once a month. For example, the frequency of performance can be instructed by the user via the UI unit 55. 【0032】 In step S16, the communication unit 54 of the information terminal 12 transmits measurement parameters 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 and measurement instructions transmitted from the information terminal 12. 【0033】 In step S17, the control unit 21 of the sensor module 11 performs VNA calibration processing based on the measurement parameters and measurement instructions transmitted from the information terminal 12. Figure 4 is a flowchart illustrating the flow of the VNA calibration processing. In the VNA calibration processing, if it is outside of exercise time and matches the set execution frequency (for example, every time measurement is taken) (S41: Yes, S42: Yes), the control unit 21 controls the calibration unit 43 to perform VNA calibration (S43). On the other hand, if it is during exercise time (S41: No), or does not match the set execution frequency (S42: No), the control unit 21 does not perform VNA calibration (S44). When the processing in step S43 or S44 is completed, the process proceeds from step S17 to step S18 in Figure 2. 【0034】In this way, the sensor module 11 selectively performs VNA calibration. For example, since the user's body movements during exercise may affect calibration and lead to a decrease in measurement accuracy, VNA calibration is performed outside of exercise time and not during exercise. By not performing VNA calibration during exercise, measurement accuracy is improved, and power consumption can also be reduced by setting the frequency of VNA calibration outside of exercise time. The frequency of calibration outside of exercise time can be set by the user, for example, every time a measurement is taken, or once a day, as needed. Alternatively, the frequency of calibration may be determined by the system. 【0035】 In step S18, the control 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 to perform 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. 【0036】Figure 5 is a flowchart illustrating the blood glucose measurement process. In the blood glucose measurement process, if it is mealtime or exercisetime (S51: Yes), the control unit 21 controls the measurement unit 22 to measure blood glucose levels based on 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 (S52). On the other hand, if it is a time other than mealtime or exercisetime (S51: No), the control unit 21 controls the measurement unit 22 to measure blood glucose levels based on 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 (S53). In this case, the radio wave intensity in the former case (1.5 times the normal level) is stronger than the radio wave intensity in the latter case (0.7 times the normal level), the measurement frequency in the former case (20 times per second) is more than the measurement frequency in the latter case (5 times per second), and the number of electrodes used in the former case (8) is more than the number of electrodes used in the latter case (4). Once the processing in step S52 or S53 is completed, the process proceeds to steps S18 through S19 in Figure 2. 【0037】 Specifically, the radio wave intensity is increased to 1.5 times the normal level during mealtimes and exercise to improve measurement accuracy. On the other hand, during times other than mealtimes and exercise, the radio wave intensity is reduced to 0.7 times the normal level to conserve battery power. For example, during breakfast (7:00-8:00), lunch (12:00-13:00), dinner (19:00-20:00, including the time after meals), and exercise (18:00-19:00), the device operates in a high-precision mode with improved measurement accuracy, while operating in a power-saving mode that conserves battery power during other times. This allows for precise detection of post-meal blood glucose levels and blood glucose fluctuations due to exercise, while extending overall battery life. 【0038】Here, measurement frequency refers to the number of measurements taken per unit of time to determine a single blood glucose level. During mealtimes and exercise, blood glucose levels fluctuate significantly, so the device operates in high-precision mode, performing 20 measurements per second to determine a single blood glucose level. Conversely, at other times, it switches to low-precision mode, performing 5 measurements per second to determine a single blood glucose level. For example, it operates in high-precision mode from 8:00 to 10:00 after breakfast, from 13:00 to 15:00 at lunchtime, from 20:00 to 22:00 at dinnertime (including the time after meals), and from 18:00 to 19:00 during exercise, while operating in low-precision mode at other times. This allows for detailed tracking of blood glucose fluctuations during critical time periods while optimizing battery consumption. 【0039】 Furthermore, the number of electrodes used is adjusted during mealtimes and exercise times to acquire more detailed biological information. For example, if electrode 32 has eight electrodes, it operates in multi-electrode mode, using all eight electrodes. On the other hand, at other times, it switches to a small-electrode mode (power-saving mode) that uses only four of the eight electrodes. For example, it operates in multi-electrode mode from 7:00 to 8:00 during breakfast, 12:00 to 13:00 during lunch, 19:00 to 20:00 during dinner (including the time after meals), and 18:00 to 19:00 during exercise, and in small-electrode mode at other times. This allows for improved measurement accuracy during critical time periods by measuring with many electrodes and using the results. Thus, it is possible to improve measurement accuracy during critical time periods while suppressing power consumption at other times. 【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 four measurement parameters (radio wave intensity, measurement frequency, number of electrodes used, and presence or absence of VNA calibration) triggered by events such as the start of a meal or exercise. For example, the radio wave intensity can be increased before and after meals and during exercise to perform more precise measurements, while the radio wave intensity can be decreased at other times to reduce power consumption. Also, the measurement frequency can be increased before and after meals and during exercise to perform more precise measurements, while the measurement frequency can be decreased at other times to reduce power consumption. Furthermore, during exercise, VNA calibration can be omitted when body movement occurs to perform precise measurements, while at times other than exercise, VNA calibration can be performed a specified number of times to reduce power consumption. Additionally, the number of electrodes used can be increased before and after meals and during exercise to perform more precise measurements, while the number of electrodes used can be decreased at other times 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 before and after meals). The four 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 blood glucose fluctuations before and after meals or during exercise, 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; for example, high-precision measurement increases power consumption, while reducing power consumption decreases measurement accuracy. In this disclosure, by dynamically switching measurement parameters triggered by events such as the start of a meal or exercise, it is possible to achieve both optimal measurement accuracy and power consumption. 【0043】In the above description, a case where the information terminal 12 selects measurement parameters based on the determination result of the lifestyle pattern determination process from the measurement parameters stored in the storage unit 53 and transmits them to the sensor module 11 is shown. However, the sensor module 11 may select measurement parameters based on the determination result of the lifestyle pattern determination process. When the sensor module 11 selects measurement parameters, the information terminal 12 transmits the measurement parameters stored in the storage unit 53 and the determination result of the lifestyle pattern determination process to the sensor module 11, so that the control unit 21 can select measurement parameters based on the determination result of the lifestyle pattern determination process from the received measurement parameters. Further, the measurement parameters pre-stored in the storage unit 53 are acquired and stored from an external server or the like at a predetermined timing such as when the application 51 is installed or when cooperating with the sensor module 11 in the information terminal 12, for example. Alternatively, the measurement parameters may be set by the user via the UI unit 55. When measuring blood glucose levels, it is not necessary to dynamically switch all of the above four measurement parameters, and at least one measurement parameter may be dynamically switched. Further, the measurement parameters can be parameters corresponding to at least one of the meal time and the exercise time. 【0044】 <<Second Embodiment>> 【0045】 <System Configuration> Fig. 6 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 Fig. 6, parts corresponding to the measurement system 1 of Fig. 1 are denoted by the same reference numerals, and the description thereof will be omitted as appropriate. 【0046】 In Fig. 6, in the information terminal 12, the UI unit 55 receives an input of a specific time according to the user's operation together with the meal time and the exercise time. The specific time is a specific time (regular measurement time) for performing blood glucose level measurement using the same measurement parameters. Further, the storage unit 53 stores data regarding the measurement results transmitted from the sensor module 11. That is, data regarding the measurement results obtained by performing blood glucose level measurement using the same measurement parameters at a specific time are sequentially stored in the storage unit 53. 【0047】 <Process flow> Next, referring to the flowchart of FIG. 7, the process flow of the measurement process executed by the measurement system 2 of FIG. 6 will be described. 【0048】 In steps S61 and S62, similar to steps S11 and S12 of FIG. 2, the system is activated and the current time is confirmed. 【0049】 In step S63, the application 51 of the information terminal 12 performs a mode determination process. In the mode determination process, it is determined whether it is the regular measurement mode or the normal measurement mode. FIG. 8 is a flowchart for explaining the process flow of the mode determination process. In step S81, it is determined whether it is a specific time. For example, the specific time is a regular measurement time such as 7:00 am every day specified by the user. 【0050】 In step S81, if it is determined that it is a specific time, the regular measurement mode is set (S82). On the other hand, in step S81, if it is determined that it is not a specific time, the normal measurement mode is set (S83). Also, in step S84, a life pattern determination process for determining the user's life patterns such as meals and exercise is performed. Since the life pattern determination process is the same as the content described in the flowchart of FIG. 3, the description is omitted here. When the process of step S84 ends, the process proceeds from step S63 to step S64 of FIG. 7. 【0051】 In step S64, the application 51 of the information terminal 12 performs a first measurement parameter setting process. In the first measurement parameter setting process, the radio wave intensity, measurement frequency, and number of electrodes used are set. For example, the information regarding the set radio wave intensity, measurement frequency, and number of electrodes used is stored in the storage unit 53 in advance. 【0052】Application 51 can set measurement parameters according to the information stored in the memory unit 53 based on the processing result of the mode determination process. Specifically, if it is determined that it is in the scheduled measurement mode, the measurement parameters can be set to 1.2 times the normal level for radio wave intensity, 20 times per second for measurement frequency, and 8 electrodes for use. If it is determined that it is in the normal measurement mode, the measurement parameters are set according to the determination result of the lifestyle pattern determination process. 【0053】 In other words, in normal measurement mode, if it is determined that it is mealtime or exercisetime, the measurement parameters can be set to 1.5 times the normal radio wave intensity, 20 measurements per second, and 8 electrodes. Also, in normal measurement mode, if it is determined that it is a time other than mealtime or exercisetime, the measurement parameters can be set to 0.7 times the normal radio wave intensity, 5 measurements per second, and 4 electrodes. Here, we explain the case where the measurement parameters are selected on the information terminal 12 side based on the determination results of the mode determination process and the lifestyle pattern determination process, but they may also be selected on the sensor module 11 side. 【0054】 In step S65, the application 51 on the information terminal 12 performs a second measurement parameter setting process. In the second measurement parameter setting process, it is set whether or not to perform VNA calibration. Here, the decision of whether or not to perform VNA calibration can be selected according to the determination results of the mode determination process and the lifestyle pattern determination process, and the frequency of VNA calibration. For example, based on the determination results of the mode determination process and the lifestyle pattern determination process, if it is determined that it is in normal measurement mode and outside of exercise time, VNA calibration is set to perform (Perform: Yes), and if it is determined that it is in scheduled measurement mode or during exercise time, VNA calibration is set not to perform (Perform: No). The frequency of performance can be set according to the user's operation, such as every time measurement is taken, once a day, once a week, or once a month. 【0055】In step S66, the communication unit 54 of the information terminal 12 transmits measurement parameters 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 and measurement instructions transmitted from the information terminal 12. 【0056】 In step S67, the control unit 21 of the sensor module 11 performs VNA calibration processing based on the measurement parameters and measurement instructions transmitted from the information terminal 12. Figure 9 is a flowchart illustrating the flow of the VNA calibration processing. In the VNA calibration processing, if it is in normal measurement mode, outside of exercise time, and matches the set execution frequency (for example, every time measurement is taken) (S91 to S93: Yes), the control unit 21 controls the calibration unit 43 to perform VNA calibration (S94). On the other hand, if it is in timed measurement mode (S91: No), during exercise time (S92: No), or does not match the set execution frequency (S93: No), the control unit 21 does not perform VNA calibration (S95). When the processing in step S94 or S95 is completed, the process proceeds from step S67 to step S68 in Figure 7. 【0057】 In step S68, the control 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 to perform 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 10 is a flowchart illustrating the blood glucose measurement process. In the blood glucose measurement process, when the system is in scheduled measurement mode (S101: Yes), the control unit 21 controls the measurement unit 22 to fix the radio wave intensity to 1.2 times the normal intensity, set the measurement frequency to 20 measurements per second to determine one blood glucose level, and use all eight electrodes if the electrode 32 has eight electrodes to measure the blood glucose level (S102). These measurement parameters are always applied with the same settings each time the sensor module 11 operates in scheduled measurement mode. For example, if the user has set 7:00 AM every day as the scheduled measurement time, the system will automatically apply these measurement parameter settings and perform blood glucose measurement. 【0059】 On the other hand, when in normal measurement mode (S101: No), if it is mealtime or exercisetime (S103: Yes), the control 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 (S104). Also, when in normal measurement mode (S101: No), if it is a time other than mealtime or exercisetime (S103: No), the control 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 (S105). In this case, the radio wave intensity in the fixed-time measurement mode (1.2 times the normal level) is less than or equal to the former radio wave intensity (1.5 times the normal level) and greater than or equal to the latter radio wave intensity (0.7 times the normal level). The measurement frequency in the timed measurement mode (20 times per second) is less than or equal to the former measurement frequency (20 times per second) and greater than or equal to the latter measurement frequency (5 times per second). The number of electrodes used in the timed measurement mode (8 electrodes) is less than or equal to the former number of electrodes used (8 electrodes) and greater than or equal to the latter number of electrodes used (4 electrodes). When the processing in step S102, S104, or S105 is completed, the process proceeds from step S68 to step S69 in Figure 7. 【0060】In step S69, 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. In step S70, the application 51 of the information terminal 12 stores the data related to the received measurement result in the storage unit 53. The scheduled measurement mode is a mode for analyzing long-term blood glucose level trends in predetermined units such as weekly, monthly, or yearly. In this mode, it is possible to measure blood glucose levels using the same measurement parameters at a specific time specified by the user (for example, 7 a.m. every day). Therefore, the data related to the measurement result obtained in this measurement is stored in the storage unit 53 as data for long-term trend analysis. 【0061】 As described above, the measurement system 2 in Figure 6 can automatically switch measurement parameters and measure blood glucose levels, triggered by a transition to the scheduled measurement mode. This ensures that blood glucose levels are measured using the same measurement parameters at a specific time specified by the user, thus maintaining the accuracy of long-term trends. In modes other than the scheduled measurement mode (normal measurement mode), measurement parameters can be dynamically changed to improve measurement accuracy or reduce power consumption. 【0062】 <<Third Embodiment>> 【0063】 <System Configuration> Figure 11 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 11, the same reference numerals are used for parts corresponding to the measurement system 1 of Figure 1, and their descriptions are omitted as appropriate. 【0064】 In Figure 11, the sensor module 11 is provided with a control detection unit 24 instead of a control unit 21. The sensor module 11 is also connected to a heart rate sensor 61, a blood oxygen concentration sensor 62, and a skin temperature sensor 63 via a predetermined input interface. 【0065】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 light, and supplies the measured heart rate data to the control detection unit 24. 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 24. 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 24. 【0066】 The control and detection unit 24, like the control unit 21 in Figure 1, is composed of a processor, microcontroller, etc., and controls each part of the sensor module 11. The control and detection unit 24 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 24 controls the measurement unit 22 based on the measurement parameters and measurement instructions transmitted from the information terminal 12, and the heart rate data, blood oxygen concentration data, and skin temperature data supplied from each sensor. Note that in Figure 11, since user input is not required in the information terminal 12, a UI unit 55 does not need to be provided. 【0067】 <Processing Flow> Next, referring to the flowchart in Figure 12, the flow of the measurement process performed by the measurement system 3 in Figure 11 will be explained. 【0068】 In steps S111 and S112, the system is started and the current time is confirmed, similar to steps S11 and S12 in Figure 2. 【0069】In step S113, the control detection unit 24 of the sensor module 11 performs biological information monitoring processing. In the biological information monitoring processing, the user's biological information (biological information other than blood glucose level) is monitored. Figure 13 is a flowchart illustrating the flow of the biological information monitoring processing. In step S131, heart rate data is acquired from the heart rate sensor 61. In step S132, blood oxygen concentration data is acquired from the blood oxygen concentration sensor 62. In step S133, skin temperature data is acquired from the skin temperature sensor 63. Once the processing in step S133 is completed, the process proceeds from step S113 to step S114 in Figure 12. 【0070】 In step S114, the control detection unit 24 of the sensor module 11 performs a blood glucose fluctuation sign detection process. In the blood glucose fluctuation sign detection process, signs of blood glucose fluctuation are detected based on the user's biometric information (biometric information including at least one of heart rate, blood oxygen concentration, and skin temperature) acquired through continuous monitoring. Figure 14 is a flowchart illustrating the flow of the blood glucose fluctuation sign detection process. In step S141, it is determined whether there has been a rapid increase in heart rate based on the heart rate data. A rapid increase in heart rate suggests, for example, the start of exercise or a meal. If it is determined in step S141 that there has been a rapid increase in heart rate, signs of blood glucose fluctuation are detected (S142). On the other hand, if it is determined in step S141 that there has been no rapid increase in heart rate, the process proceeds to step S143. 【0071】In step S143, it is determined whether there has been a change in blood oxygen concentration based on the blood oxygen concentration data. A change in blood oxygen concentration suggests, for example, the start of digestive activity. If it is determined in step S143 that there has been a change in blood oxygen concentration, then signs of blood glucose fluctuation are detected (S142). On the other hand, if it is determined in step S143 that there has been no change in blood oxygen concentration, the process proceeds to step S144. In step S144, it is determined whether there has been an increase in skin temperature based on the skin temperature data. An increase in skin temperature suggests, for example, an increase in metabolic activity. If it is determined in step S144 that there has been an increase in skin temperature, then signs of blood glucose fluctuation are detected (S142). On the other hand, if it is determined in step S144 that there has been no increase in skin temperature, then the process in step S142 is skipped, and it is determined that no signs of blood glucose fluctuation were detected. Note that it is not necessary to perform all of the determinations in steps S141, S143, and S144; at least one determination is sufficient. Once step S142 is completed or skipped, the process proceeds to steps S114 through S115 in Figure 12. 【0072】 In step S115, 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. Specifically, as measurement parameters when signs of blood glucose fluctuation are detected, the radio wave intensity can be set to 1.5 times the normal level, the measurement frequency to 20 times per second, and the number of electrodes to be used to 8. Also, as measurement parameters when signs of blood glucose fluctuation are not detected, the radio wave intensity can be set to 0.7 times the normal level, the measurement frequency to 5 times per second, and the number of electrodes to be used to 4. 【0073】 In step S116, the communication unit 54 of the information terminal 12 transmits measurement parameters 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 and measurement instructions transmitted from the information terminal 12. 【0074】In step S117, the control detection 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 detection results of the blood glucose fluctuation indicator detection 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 and the detection results of the blood glucose fluctuation indicator detection process. 【0075】 Figure 15 is a flowchart illustrating the flow of the blood glucose measurement process. In the blood glucose measurement process, if signs of blood glucose fluctuation are detected (S151: Yes), the control detection unit 24 controls the measurement unit 22 to measure blood glucose 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 (S152). On the other hand, if no signs of blood glucose fluctuation are detected (S151: No), the control detection unit 24 controls the measurement unit 22 to measure blood glucose based on 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 (S153). In this case, the radio wave intensity in the former case (1.5 times the normal level) is stronger than the radio wave intensity in the latter case (0.7 times the normal level), the measurement frequency in the former case (20 times per second) is more than the measurement frequency in the latter case (5 times per second), and the number of electrodes used in the former case (8) is more than the number of electrodes used in the latter case (4). Once the processing in step S152 or S153 is completed, the process proceeds to steps S117 through S118 in Figure 12. 【0076】Specifically, if signs of blood glucose fluctuation are detected, the radio wave intensity is increased to 1.5 times the normal level, the measurement frequency is set to 20 measurements per second to determine one blood glucose level, and all 8 electrodes are used if the electrode 32 has 8 electrodes. If no signs of blood glucose fluctuation are detected, the radio wave intensity is reduced to 0.7 times the normal level, the measurement frequency is set to 5 measurements per second to determine one blood glucose level, and 4 electrodes are used if the electrode 32 has 8 electrodes. Here, measurement frequency refers to the number of measurements taken per unit time (1 second in this example) to determine one blood glucose level. When signs of blood glucose fluctuation are detected, the measurement accuracy can be improved by using a higher measurement frequency, and when no signs of blood glucose fluctuation are detected, power consumption can be reduced by lowering the measurement frequency. 【0077】 In step S118, 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. 【0078】 As described above, the measurement system 3 in Figure 11 can detect fluctuations in biological information other than blood glucose levels, and dynamically adjust the measurement parameters (radio wave intensity, measurement frequency, number of electrodes used) based on the detection results to measure blood glucose levels. In other words, the measurement system 3, which has an adaptive measurement mode based on fluctuations in biological information, can analyze biological information such as heart rate, blood oxygen saturation, and skin temperature acquired from external sensors, predict signs of blood glucose fluctuations, and optimize the balance between measurement accuracy and power consumption. This allows for highly accurate measurements when signs of blood glucose fluctuations are observed (for example, at the start of a meal or exercise). Furthermore, during periods when blood glucose levels are stable, it can operate in power-saving mode to extend battery life. 【0079】In the above explanation, the sensor module 11 selected measurement parameters from the measurement parameters transmitted from the information terminal 12 based on the detection results of the blood glucose fluctuation sign detection process. However, the information terminal 12 may also select measurement parameters based on the detection results of the blood glucose fluctuation sign detection process and transmit the selected measurement parameters. When the information terminal 12 selects measurement parameters, it is necessary to notify the information terminal 12 from the sensor module 11 of the biometric information (heart rate data, blood oxygen concentration data, skin temperature data) that is continuously acquired by monitoring. In other words, the blood glucose fluctuation sign detection process (S114) in Figure 12 may be executed by the application 51 on the information terminal 12. 【0080】 <<Application Example>> Figure 16 shows a first example of the configuration of an electronic device having a sensor module 11. As shown in Figure 16, 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. 【0081】In the wearable terminal 10, the sensor module 11 is configured to correspond to the sensor module 11 in Figure 1, Figure 6, or Figure 11. For example, in the sensor module 11 of Figure 16, the control unit 21 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, meal times, exercise times, calibration frequency, etc. in Figure 1) 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. 【0082】 Figure 17 shows a second example of the configuration of an electronic device having a sensor module 11. As shown in Figure 17, 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, Figure 6, or Figure 11. 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. 【0083】 For example, in the sensor module 11 shown in Figure 17, the control unit 21 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. The various sensors shown in Figure 11, such as the heart rate sensor 61, blood oxygen concentration sensor 62, and skin temperature sensor 63, can be mounted on the wearable terminal 10 shown in Figures 16 and 17. 【0084】<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 18 is a block diagram showing an example of the hardware configuration of a computer that executes the series of processes described above by program. 【0085】 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. 【0086】 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. 【0087】 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. 【0088】 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. 【0089】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. 【0090】 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. 【0091】 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. 【0092】 Furthermore, this disclosure can take the following form. 【0093】(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 the user's diet or exercise, 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 information indicating whether or not calibration has been performed in the measuring unit. (5) The measuring device according to (4), wherein the measurement parameters include a first measurement parameter used when the time is mealtime, which is the time the user spends eating, or exercisetime, which is the time the user spends exercising, and a second measurement parameter used when the time is other than mealtime and exercisetime. (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, 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 (5) or (6), wherein whether or not calibration is performed is selected according to the exercisetime and the frequency of performance instructed by the user. (8) The measuring apparatus according to (5) or (6), further comprising a third measurement parameter used when the measurement parameter is a specific time, which is the time for performing a measurement using the same measurement parameter.(9) The measuring device according to (8), wherein the third measurement parameter includes a third radio wave intensity, a third measurement frequency, and a third number of electrodes used, wherein the third radio wave intensity is an intensity that is less than or equal to the first radio wave intensity and greater than or equal to the second radio wave intensity, the third measurement frequency is a frequency that is less than or equal to the first measurement frequency and greater than or equal to the second measurement frequency, and the third number of electrodes used is a number that is less than or equal to the first number of electrodes used and greater than or equal to the second number of electrodes used. (10) The measuring device according to (8) or (9), wherein whether or not the calibration is performed is selected according to the specific time, the exercise time, and the frequency of performance instructed by the user. (11) The measuring device according to (3), wherein the measurement parameter includes a first measurement parameter used when a sign of fluctuation in the biological information based on other biological information different from the biological information is detected, and a second measurement parameter used when no sign of fluctuation in the biological information is detected. (12) The measuring device according to (11), 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. (13) The measuring device according to (11) or (12), wherein the biological information is a blood glucose level, and the other biological information includes at least one of heart rate, blood oxygen concentration, and skin temperature measured from the user. (14) The measuring device according to any one of (1) to (12), wherein the biological information is a blood glucose level. (15) The measuring device according to any one of (1) to (14), which is mounted on a wearable terminal. (16) The measuring device according to (15) wherein the measurement parameters are transmitted from another device that performs an application relating to the measurement of the biological information.(17) 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 the user's diet or exercise; and controlling the measurement based on the acquired measurement parameters. (18) A computer comprising a measurement unit for measuring a user's biological information based on S-parameters measured from the user to be measured; and a control unit for controlling the measurement unit, wherein the control unit is programmed to function as a measurement device that acquires measurement parameters corresponding to the user's diet or exercise and controls the measurement by the measurement unit based on the acquired measurement parameters. 【0094】 1, 2, 3 Measurement system, 10 Wearable terminal, 11 Sensor module, 12 Information terminal, 12A Information processing unit, 13 Storage battery, 21 Control unit, 22 Measurement unit, 23 Communication unit, 24 Control detection 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

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 the user's diet or exercise, 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 indicating whether or not calibration has been performed in the measuring unit.

5. The measuring device according to claim 4, wherein the measurement parameters include a first measurement parameter used when the measurement time is the time spent eating by the user or the time spent exercising by the user, and a second measurement parameter used when the measurement time is a time other than the meal time or the exercise time.

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 5, wherein whether or not the calibration is performed is selected according to the exercise time and the frequency of performance instructed by the user.

8. The measuring device according to claim 6, further comprising a third measurement parameter used when the measurement parameter is a specific time, which is the time for performing a measurement using the same measurement parameter.

9. The measuring device according to claim 8, wherein the third measurement parameter includes a third radio wave intensity, a third measurement frequency, and a third number of electrodes used, the third radio wave intensity being less than or equal to the first radio wave intensity and greater than or equal to the second radio wave intensity, the third measurement frequency being less than or equal to the first measurement frequency and greater than or equal to the second measurement frequency, and the third number of electrodes used being less than or equal to the first number of electrodes used and greater than or equal to the second number of electrodes used.

10. The measuring device according to claim 8, wherein whether or not the calibration is performed is selected according to the specific time, the exercise time, and the frequency of performance instructed by the user.

11. The measuring device according to claim 3, wherein the measurement parameters include a first measurement parameter used when a sign of change in the biological information is detected based on other biological information different from the biological information, and a second measurement parameter used when no sign of change in the biological information is detected.

12. The measuring device according to claim 11, 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.

13. The measuring device according to claim 11, wherein the biological information is blood glucose level, and the other biological information includes at least one of heart rate, blood oxygen concentration, and skin temperature measured from the user.

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

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

16. The measuring device according to claim 15, wherein the measurement parameters are transmitted from another device that performs an application relating to the measurement of biological information.

17. 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 the user's diet or exercise; and controlling the measurement based on the acquired measurement parameters.

18. A computer comprising a measurement unit that measures the user's biological information based on S-parameters measured from the user to be measured, and a control unit that controls the measurement unit, wherein the control unit is programmed to acquire measurement parameters corresponding to the user's diet or exercise, 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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