Measurement module and measurement system

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The system addresses non-invasive glucose measurement inaccuracies by using a combination of reflected and transmitted RF signals, adaptively selecting based on contact and movement, to achieve precise glucose value calculations.

WO2026126865A1PCT designated stage Publication Date: 2026-06-18SONY SEMICON SOLUTIONS CORP

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Patent Information

Authority / Receiving Office: WO · WO
Patent Type: Applications
Current Assignee / Owner: SONY SEMICON SOLUTIONS CORP
Filing Date: 2025-12-02
Publication Date: 2026-06-18

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Abstract

The present disclosure pertains to a measurement module and a measurement system with which it is possible to achieve highly accurate measurement of glucose levels. This measurement module includes a plurality of sensors to be attached to a human body via electrodes. In the measurement module, a measurement unit inputs RF signals to at least any one of the sensors to measure reflected signals and transmitted signals, and on the basis of these measured signals, outputs glucose calculation information for calculating a glucose level in the human body. The present disclosure is applicable to wearable devices such as smartwatches.

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Description

Measurement Module and Measurement System 【0001】 The present disclosure relates to a measurement module and a measurement system, and particularly to a measurement module and a measurement system that can achieve highly accurate measurement of glucose values. 【0002】 Conventionally, tests such as blood glucose levels (glucose values) required blood collection, which was a great burden on patients. In contrast, in recent years, non-invasive component concentration measurements that are less burdensome on patients have attracted attention, and research and development and commercialization have been progressing. 【0003】 For example, Patent Document 1 discloses a method of calculating a corrected spectrum in which the influence of conduction loss is corrected from a dielectric spectroscopy spectrum using the conductivity of a measurement sample, performing multivariate analysis using the corrected spectrum in a characteristic band of the measurement target component, and creating a calibration model for the measurement sample. According to this method, it becomes possible to more accurately measure the concentration of the measurement target component in a multi-component sample. 【0004】 Japanese Patent Application Laid-Open No. 2018-169339 【0005】 Non-invasive measurement of glucose values is very difficult, and it is known that the measurement accuracy of many commercially available measuring instruments is insufficient. 【0006】 The present disclosure has been made in view of such a situation and is intended to achieve highly accurate measurement of glucose values. 【0007】 The measurement module of the present disclosure includes a plurality of sensors attached to the human body via electrodes, and a measurement unit that outputs glucose calculation information for calculating the glucose value in the human body based on a reflected signal and a transmitted signal measured by inputting an RF signal to at least one of the sensors. 【0008】The measurement system disclosed herein includes a plurality of sensors attached to the human body via electrodes, a measurement unit that outputs glucose calculation information for calculating the glucose value in the human body based on reflected signals and transmitted signals measured by inputting an RF signal to at least one of the sensors, and a glucose calculation unit that uses the glucose calculation information to calculate the glucose value based on at least one of the reflected signals and transmitted signals. 【0009】 In this disclosure, glucose calculation information for calculating the glucose value in the human body is output based on reflected and transmitted signals measured by inputting an RF signal to at least one of a plurality of sensors attached to the human body via electrodes. 【0010】 This is a block diagram showing an example configuration of the measurement system relating to this disclosure. This is a block diagram showing an example configuration of the measurement unit. This is a diagram illustrating the measurement of reflected and transmitted signals. This is a flowchart showing the operation flow of the measurement system. This is a flowchart showing an example of glucose calculation information output processing. This is a flowchart showing another example of glucose calculation information output processing. This is a diagram showing an example of a past time series of phase values. This is a flowchart showing another example of glucose calculation information output processing. This is a flowchart showing another example of glucose calculation information output processing. This is a flowchart showing another example of glucose calculation information output processing. This is a flowchart showing another example of glucose calculation information output processing. This is a flowchart showing another example of glucose calculation information output processing. This is a flowchart showing another example of glucose calculation information output processing. This is a flowchart showing another example of glucose calculation information output processing. This is a block diagram showing a modified measurement unit. This is a block diagram showing a modified measurement system. This is a block diagram showing a modified measurement unit. This is a block diagram showing a specific configuration example of the measurement system. 【0011】 The following describes the forms for implementing this disclosure (hereinafter referred to as embodiments). The explanation will be given in the following order. 【0012】 1. Conventional technology and its challenges 2. Configuration and operation of the measurement system related to this disclosure 3. Specific example of glucose calculation information output processing 4. Modification and specific example of the measurement system 【0013】 <1. Conventional Technology and its Challenges> Traditionally, tests such as blood glucose levels required blood sampling, which was a significant burden for patients. In contrast, in recent years, attention has been focused on non-invasive component concentration measurement methods that are less burdensome for patients, and research and development and commercialization are progressing. 【0014】 On the other hand, non-invasive glucose measurement is extremely difficult, and many commercially available measuring devices are known to have insufficient measurement accuracy. 【0015】 For example, when measuring glucose levels using wearable devices such as smartwatches or smart rings, the accuracy of the measurement can vary significantly depending on the degree of contact with the skin. In particular, measurement methods that use reflected signals can experience reduced accuracy due to poor contact caused by factors such as body movement. On the other hand, while measurement methods that use transmitted signals offer better resistance to poor contact, the signal-to-noise ratio (SNR) decreases, which may result in lower accuracy compared to measurement methods using reflected signals when the contact is good. 【0016】 The technology disclosed herein measures two RF signals, a reflected signal and a transmitted signal, and outputs glucose calculation information based on each RF signal. This suppresses the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, thereby enabling highly accurate measurement of glucose values. 【0017】 <2. Configuration and Operation of the Measurement System Related to This Disclosure> (Configuration of the Measurement System) Figure 1 is a block diagram showing an example of the configuration of a measurement system to which the technology related to this disclosure is applied. 【0018】The measurement system 1 shown in Figure 1 comprises multiple sensors (sensors 11, 12) attached to the human body H via electrodes, and measures the glucose value of the human body H based on the reflected and transmitted signals measured by inputting an RF signal to at least one of them. Note that the number of sensors attached to the human body H is not limited to two sensors 11 and 12, but may be three or more. 【0019】 The measurement system 1 is configured to include a measurement unit 100, an RF switch 110, and a glucose calculation unit 120. Of the components of the measurement system 1, at least the sensors 11, 12, the measurement unit 100, and the RF switch 110 are contained within a measurement module which is made up of a wearable device such as a smartwatch or a smart ring. 【0020】 The measurement unit 100 functions as a network analyzer, measuring the reflected and transmitted signals in response to the incident signal and determining how their amplitude and phase values change in the object under test. The reflection coefficient and transmission coefficient of the circuit measured by the network analyzer are called S-parameters and are used as parameters to model the operation of a two-port circuit. 【0021】 Specifically, the measurement unit 100 inputs an RF signal of 1 GHz to 9 GHz to either sensor 11 or 12 via the RF switch 110, and measures the reflected signal and transmitted signal detected by either sensor 11 or 12. Then, based on the measured reflected signal and transmitted signal, the measurement unit 100 outputs glucose calculation information for calculating the glucose value in the human body H. 【0022】 The RF switch 110 is a switch used to switch the signal path of the RF signal. In other words, the RF switch 110 can switch between measuring the reflected signal and measuring the transmitted signal in the measurement unit 100. Depending on the configuration of the measurement unit 100, the RF switch 110 may not necessarily be provided. 【0023】The measurement unit 100 and the glucose calculation unit 120 are connected via a wired or wireless communication interface. For example, the measurement unit 100 and the glucose calculation unit 120 communicate wirelessly using BLE (Bluetooth® Low Energy) or Wi-Fi®. 【0024】 The glucose calculation unit 120 uses the glucose calculation information output from the measurement unit 100 to calculate a glucose value based on at least one of the reflected signal and the transmitted signal measured in the measurement unit 100. 【0025】 (Configuration of the measurement unit) Figure 2 is a block diagram showing an example of the configuration of the measurement unit 100. 【0026】 As shown in Figure 2, the measurement unit 100 consists of an RF transmission unit 151, a directional coupler 152, an RF reception unit 153, an RF reception unit 154, a sensor data acquisition unit 155, a memory unit 156, and a calculation unit 157. 【0027】 The RF transmitter 151 transmits an RF signal to the directional coupler 152, thereby inputting an RF signal to, for example, the sensor 11. 【0028】 The directional coupler 152 separates the signal flowing along the transmission path into forward and reflected waves. For example, the directional coupler 152 inputs the RF signal from the RF transmitter 151 to the sensor 11 and also inputs the RF signal from the sensor 11 to the RF receiver 153. 【0029】 The RF receiving unit 153 receives the RF signal from the sensor 11 as a reflected signal and outputs it to the calculation unit 157. 【0030】 The RF receiving unit 154 receives the RF signal from the sensor 12 as a transmitted signal and outputs it to the calculation unit 157. 【0031】 The sensor data acquisition unit 155 acquires sensor data from various sensors (not shown), such as touch sensors, EC (Electrical Conductivity) sensors, acceleration sensors, and skin moisture level sensors, and outputs it to the calculation unit 157. 【0032】The memory unit 156 stores parameters and calculation results used in calculations performed by the calculation unit 157, as well as measurement results of glucose values measured in the past. The parameters, calculation results, and measurement results stored in the memory unit 156 are read out to the calculation unit 157 as appropriate. 【0033】 The calculation unit 157 determines the S-parameters (reflection coefficient, transmission coefficient) based on the reflected signal from the RF receiver 153 and the transmitted signal from the RF receiver 154. Then, the calculation unit 157 obtains glucose calculation information by performing various calculations using the reflected signal (reflection coefficient), the transmitted signal (transmission coefficient), and the sensor data acquisition unit 155. The acquired glucose calculation information is output to the glucose calculation unit 120. 【0034】 (Measurement of reflected and transmitted signals) Now, with reference to Figure 3, we will explain how to measure reflected and transmitted signals. 【0035】 When measuring the reflected signal, as shown in Figure 3A, an RF signal is input from the measurement unit 100 to the sensor 11 via the RF switch 110, and the RF signal reflected by the sensor 11 is measured as the reflected signal. 【0036】 On the other hand, when measuring the transmitted signal, as shown in Figure 3A, an RF signal is input from the measurement unit 100 to the sensor 11 via the RF switch 110, and the RF signal that has passed through the sensor 12 is measured as the transmitted signal. 【0037】 In this way, the RF switch 110 can be used to switch between measuring the reflected signal and measuring the transmitted signal. 【0038】 In the example shown in Figure 3, the RF signal input to sensor 11 and reflected by sensor 11 is measured as the reflected signal. However, the RF signal input to sensor 12 and reflected by sensor 12 may also be measured as the reflected signal. Similarly, the RF signal input to sensor 11 and passed through sensor 12 is measured as the transmitted signal. However, the RF signal input to sensor 12 and passed through sensor 11 may also be measured as the transmitted signal. 【0039】(Operation of the Measurement System) Referring to the flowchart of FIG. 4, the operation flow of the measurement system 1 will be described. 【0040】 In step S1, the measurement unit 100 measures the reflection signal by inputting an RF signal to either of the sensors 11 and 12, as described with reference to FIG. 3. 【0041】 In step S2, the RF switch 110 switches the signal path of the RF signal. 【0042】 In step S3, the measurement unit 100 measures the transmission signal by inputting an RF signal to either of the sensors 11 and 12, as described with reference to FIG. 3. 【0043】 In step S4, the measurement unit 100 executes a glucose calculation information output process for outputting glucose calculation information for calculating the glucose value in the human body H based on the measured reflection signal and transmission signal. The glucose calculation information may be various information that can be used for calculating the glucose value, such as the measured reflection signal and transmission signal themselves, the S parameters obtained based on the reflection signal and transmission signal, the amplitude value and phase value calculated from the S parameters, and the like. For example, the measurement unit 100 selects either the reflection signal or the transmission signal based on at least the signal quality of the measured reflection signal and transmission signal, or the sensor data indicating the state of the human body H, and outputs it as glucose calculation information. The signal quality of the reflection signal and transmission signal includes the past time series of the amplitude value and phase value of each signal, the glucose value calculated in the past based on each signal, and the like. In addition, the state of the human body H includes the adhesion degree between the wearable device and the human body H, the acceleration value of the human body H representing the intensity of body movement, the skin moisture content of the human body H, and the like. 【0044】 In step S5, the glucose calculation unit 120 calculates the glucose value using the glucose calculation information output from the measurement unit 100. 【0045】 <3. Specific Example of Glucose Calculation Information Output Process> Hereinafter, a specific example of the glucose calculation information output process executed in step S4 of the flowchart of FIG. 4 will be described. 【0046】 (First Example) In the first example of the glucose calculation information output process, either the reflected signal or the transmitted signal is selected using the glucose value calculated in the past. 【0047】 FIG. 5 is a flowchart showing the first example of the glucose calculation information output process. 【0048】 In step S111, the measurement unit 100 calculates a glucose value from the measured reflected signal. Here, the glucose value may be calculated by the glucose calculation unit 120. 【0049】 In step S112, the measurement unit 100 determines whether the difference between the calculated glucose value and the previous measurement value is within a certain value based on the measurement results stored in the memory unit 156. 【0050】 Here, the certain value used for comparison with the previous measurement value may be changed according to the elapsed time since the previous measurement. For example, if the previous measurement was 10 minutes ago, the certain value may be set to 40 mg / dl, and if the previous measurement was 20 minutes ago, the certain value may be set to 80 mg / dl, etc. 【0051】 In step S112, if it is determined that the difference from the previous measurement value is within the certain value, the process proceeds to step S113, and the measurement unit 100 selects the glucose value by the reflected signal (specifically, the glucose value calculated based on the reflection coefficient) as the current measurement value. 【0052】 On the other hand, in step S112, if it is determined that the difference from the previous measurement value is not within the certain value, the process proceeds to step S114, and the measurement unit 100 calculates a glucose value from the measured transmitted signal. Here, the glucose value may be calculated by the glucose calculation unit 120. 【0053】 In step S115, the measurement unit 100 determines whether the difference between the calculated glucose value and the previous measurement value is within a certain value based on the measurement results stored in the memory unit 156. 【0054】In step S115, if it is determined that the difference from the previous measurement is within a certain value, the process proceeds to step S116, where the measurement unit 100 selects the glucose value based on the transmission signal (specifically, the glucose value calculated based on the transmission coefficient) as the current measurement. 【0055】 After step S113 or step S116, in step S117, the measurement unit 100 outputs glucose calculation information. 【0056】 Specifically, for example, as glucose calculation information, the reflected signal (reflection coefficient) or transmitted signal (transmission coefficient) selected as the signal used to calculate the glucose value is output. Alternatively, the measured reflected signal (reflection coefficient) and transmitted signal (transmission coefficient), as well as the amplitude value and phase value calculated from them, may be output as glucose calculation information, and either of these may be selected by the glucose calculation unit 120. This allows the glucose calculation unit 120 to calculate a glucose value based on the signal selected by the measurement unit 100 from among the measured reflected signal and transmitted signal. 【0057】 Now, in step S115, if it is determined that the difference from the previous measurement is not within a certain value, that is, if the difference between the glucose value calculated from the reflected signal and the glucose value calculated from the transmitted signal is greater than a certain value from the previous measurement, the process proceeds to step S118. 【0058】 In step S118, the measurement unit 100 determines that the current measurement was not performed correctly and performs remeasurement of the reflected signal and transmitted signal (steps S1 to S3 in the flowchart of Figure 4). Here, instead of performing remeasurement, the user may be informed that the current measurement was not performed correctly. 【0059】 Through the above process, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, and to achieve highly accurate glucose value measurement. 【0060】(Second example) In the second example of glucose calculation information output processing, either the reflected signal or the transmitted signal is selected based on the past time series of the amplitude or phase values of the reflected signal or the transmitted signal. 【0061】 Figure 6 is a flowchart showing a second example of glucose calculation information output processing. 【0062】 In step S211, the measurement unit 100 calculates the phase value from the measured reflected signal. 【0063】 In step S212, the measurement unit 100 determines, based on the past time series of the phase value, whether or not there has been no inflection point of the phase value for a certain period of time in the past. 【0064】 Figure 7 shows an example of a past time series of phase values. For example, as shown in Figure 7A, if the past time series of phase values changes at a constant rate, it is determined that there is no inflection point. On the other hand, as shown in Figure 7B, if the rate of change of the past time series of phase values changes at a certain point, it is determined that there is an inflection point INF. Note that the change in the rate of change at the inflection point INF is not limited to the form shown in Figure 7B. 【0065】 In step S212, if it is determined that there has been no inflection point of the phase value for a certain period of time in the past, the process proceeds to step S213, where the measurement unit 100 selects the glucose value based on the reflected signal as the measurement value for the current measurement. 【0066】 On the other hand, if it is determined in step S212 that there has been an inflection point in the phase value for a certain period of time in the past, the process proceeds to step S214, where the measurement unit 100 selects the glucose value based on the transmission signal as the measurement value for the current measurement. 【0067】 After step S213 or step S214, in step S215, the measurement unit 100 outputs glucose calculation information as described above. 【0068】In the above, it was assumed that either the reflected signal or the transmitted signal was selected based on the past time series of phase values calculated from the reflected signal. However, as shown in the flowchart of Figure 8, either the reflected signal or the transmitted signal may be selected based on the past time series of amplitude values calculated from the reflected signal. 【0069】 In other words, in step S221, the measurement unit 100 calculates the amplitude value from the measured reflected signal. 【0070】 In step S222, the measurement unit 100 determines, based on the past time series of the amplitude values, whether or not there has been an inflection point in the amplitude value for a certain period of time in the past. 【0071】 If it is determined in step S232 that there has been no inflection point in the amplitude value for a certain period of time, the process proceeds to step S223, where the measurement unit 100 selects the glucose value from the reflected signal as the current measurement. 【0072】 On the other hand, if it is determined in step S222 that there has been an inflection point in the amplitude value for a certain period of time in the past, the process proceeds to step S224, where the measurement unit 100 selects the glucose value based on the transmission signal as the measurement value for the current measurement. 【0073】 After step S223 or step S224, in step S225, the measurement unit 100 outputs the glucose calculation information as described above. 【0074】 Furthermore, in the above, it is assumed that either the reflected signal or the transmitted signal is selected based on the past time series of the phase value or amplitude value calculated from the reflected signal. However, it is not limited to this, either the reflected signal or the transmitted signal may be selected based on the past time series of the phase value or amplitude value calculated from the transmitted signal. In this case, the transmitted signal is selected when there is no inflection point in the phase value or amplitude value calculated from the transmitted signal for a certain period of time in the past, and the reflected signal is selected when there is an inflection point for a certain period of time in the past. 【0075】Through the above process, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, and to achieve highly accurate glucose value measurement. 【0076】 (Third example) In the third example of glucose calculation information output processing, the degree of contact with the human body is used to select either the reflected signal or the transmitted signal. 【0077】 Figure 9 is a flowchart showing a third example of glucose calculation information output processing. 【0078】 In step S311, the measurement unit 100 determines from the sensor data of the touch sensor whether or not the degree of contact with the human body is above a certain level. 【0079】 Since the touch sensor is used to determine the degree of contact with the skin, it may be integrated with sensors 11 and 12 that are attached to the human body. The touch sensor may be a capacitive touch sensor or a pressure sensor. In the case of a capacitive touch sensor, when the capacitance exceeds a certain value, it is determined that the degree of contact is above a certain level. 【0080】 If it is determined in step S311 that the degree of adhesion is above a certain level, the process proceeds to step S312, where the measurement unit 100 selects the glucose value based on the reflected signal as the measurement value for this step. 【0081】 On the other hand, if it is determined in step S311 that the degree of adhesion is not above a certain level, the process proceeds to step S313, where the measurement unit 100 selects the glucose value based on the transmission signal as the measurement value for this step. 【0082】 After step S312 or step S313, in step S314, the measurement unit 100 outputs glucose calculation information as described above. 【0083】In the above, if the degree of contact is not above a certain level, the glucose value obtained by the transmission signal is selected. However, if the degree of contact is extremely low, such as when the wearable device comes off the human body, sufficient measurement accuracy cannot be obtained even if the transmission signal is used to calculate the glucose value. Therefore, as shown in the flowchart of Figure 10, remeasurement may be performed if the degree of contact is extremely low. 【0084】 In other words, in step S321, the measurement unit 100 determines from the sensor data of the touch sensor whether the degree of contact with the human body is greater than or equal to the threshold Th_A. 【0085】 If it is determined in step S321 that the degree of adhesion is equal to or greater than the threshold Th_A, the process proceeds to step S322, where the measurement unit 100 selects the glucose value based on the reflected signal as the measurement value for this step. 【0086】 On the other hand, if it is determined in step S321 that the degree of adhesion is not equal to or greater than Th_A, the process proceeds to step S323 to determine whether the degree of adhesion is equal to or greater than the threshold Th_B. The threshold Th_B is set to a value lower than the threshold Th_A. 【0087】 If it is determined in step S323 that the degree of adhesion is equal to or greater than the threshold Th_B, the process proceeds to step S324, where the measurement unit 100 selects the glucose value obtained from the transmission signal as the measurement value for this step. 【0088】 After step S322 or step S324, in step S325, the measurement unit 100 outputs the glucose calculation information as described above. 【0089】 Now, if in step S323 it is determined that the degree of contact is not equal to or greater than the threshold Th_B, that is, if the degree of contact is extremely low, such as when the wearable device comes off the human body, the process proceeds to step S326. 【0090】 In step S326, the measurement unit 100 determines that the current measurement was not performed correctly and performs a remeasurement of the reflected signal and the transmitted signal. Here again, instead of performing a remeasurement, the user may be informed that the current measurement was not performed correctly. 【0091】 In the above, the degree of contact is determined from the sensor data of the touch sensor. However, as shown in the flowchart of Figure 11, the degree of contact may also be determined from the sensor data of an EC sensor capable of measuring electrical conductivity. 【0092】 In other words, in step S331, the measurement unit 100 determines from the sensor data of the EC sensor whether the degree of contact with the human body is above a certain level. The EC sensor is also used to determine the degree of contact with the skin, and may therefore be configured integrally with the sensors 11 and 12 that are attached to the human body. 【0093】 If it is determined in step S331 that the degree of adhesion is above a certain level, the process proceeds to step S332, where the measurement unit 100 selects the glucose value based on the reflected signal as the measurement value for this step. 【0094】 On the other hand, if it is determined in step S331 that the degree of adhesion is not above a certain level, the process proceeds to step S333, where the measurement unit 100 selects the glucose value based on the transmission signal as the measurement value for this step. 【0095】 After step S332 or step S333, in step S334, the measurement unit 100 outputs the glucose calculation information as described above. 【0096】 In addition, in the process shown in Figure 11, an impedance meter capable of measuring skin impedance may be used instead of the EC sensor. 【0097】 Through the above process, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, and to achieve highly accurate glucose value measurement. 【0098】 (Fourth example) In the fourth example of glucose calculation information output processing, the acceleration value of the human body is used to select either the reflected signal or the transmitted signal. 【0099】 Figure 12 is a flowchart showing a fourth example of glucose calculation information output processing. 【0100】 In step S411, the measurement unit 100 determines whether the acceleration value obtained from the acceleration sensor is below a certain value. 【0101】 Accelerometers can monitor human body movements. An accelerometer may also be an IMU (Inertial Measurement Unit) capable of acquiring inertial data. 【0102】 If it is determined in step S411 that the acceleration value is below a certain value, the process proceeds to step S412, where the measurement unit 100 selects the glucose value from the reflected signal as the measurement value for this step. 【0103】 On the other hand, if it is determined in step S411 that the acceleration value is not below a certain value, the process proceeds to step S413, where the measurement unit 100 selects the glucose value obtained from the transmission signal as the measurement value for this measurement. Specifically, since the adhesion of the wearable device may decrease as the movement of the human body increases, the glucose value calculated from the transmission signal is adopted. 【0104】 After step S412 or step S413, in step S414, the measurement unit 100 outputs the glucose calculation information as described above. 【0105】 In the above, if the acceleration value is not below a certain value, the glucose value obtained by the transmission signal is selected. However, if the movement of the human body is so large that the wearable device comes off the body, sufficient measurement accuracy cannot be obtained even if the transmission signal is used to calculate the glucose value. Therefore, as shown in the flowchart of Figure 13, remeasurement may be performed if the acceleration value is extremely large. 【0106】 In other words, in step S421, the measurement unit 100 determines whether the acceleration value obtained from the acceleration sensor is less than or equal to the threshold Th_C. 【0107】If it is determined in step S421 that the acceleration value is less than or equal to the threshold Th_C, the process proceeds to step S422, where the measurement unit 100 selects the glucose value from the reflected signal as the measurement value for this step. 【0108】 On the other hand, if it is determined in step S421 that the acceleration value is not less than or equal to Th_C, the process proceeds to step S423 to determine whether the acceleration value is less than or equal to the threshold Th_D. The threshold Th_D is set to a value greater than the threshold Th_C. 【0109】 If it is determined in step S423 that the acceleration value is less than or equal to the threshold Th_D, the process proceeds to step S424, where the measurement unit 100 selects the glucose value obtained from the transmission signal as the measurement value for this step. 【0110】 After step S422 or step S424, in step S425, the measurement unit 100 outputs the glucose calculation information as described above. 【0111】 Now, if in step S423 it is determined that the acceleration value is not below the threshold Th_D, that is, if the movement of the human body is so large that the wearable device comes off the human body, the process proceeds to step S426. 【0112】 In step S426, the measurement unit 100 determines that the current measurement was not performed correctly and performs a remeasurement of the reflected signal and the transmitted signal. Here again, instead of performing a remeasurement, the user may be informed that the current measurement was not performed correctly. 【0113】 Through the above process, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, and to achieve highly accurate glucose value measurement. 【0114】 (Fifth example) In the fifth example of glucose calculation information output processing, the amount of skin moisture in the human body is used to select either the reflected signal or the transmitted signal. 【0115】 Figure 14 is a flowchart showing a fifth example of glucose calculation information output processing. 【0116】 In step S511, the measurement unit 100 determines whether or not the skin moisture content is above a certain value. 【0117】 The skin moisture content may be calculated from S-parameters obtained from the reflected and transmitted signals measured by sensors 11 and 12, or it may be sensor data acquired from a skin moisture content sensor. 【0118】 If it is determined in step S511 that the skin moisture content is above a certain value, the process proceeds to step S512, where the measurement unit 100 selects the glucose value based on the reflected signal as the measurement value for this step. 【0119】 On the other hand, if it is determined in step S511 that the skin moisture content is not above a certain value, the process proceeds to step S513, where the measurement unit 100 selects the glucose value obtained from the transmission signal as the measurement value for this step. 【0120】 After step S512 or step S513, in step S514, the measurement unit 100 outputs glucose calculation information as described above. 【0121】 Through the above process, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, and to achieve highly accurate glucose value measurement. 【0122】 (Sixth example) In the sixth example of glucose calculation information output processing, both the reflected signal and the transmitted signal are selected as signals used to calculate the glucose value. 【0123】 Figure 15 is a flowchart showing a sixth example of glucose calculation information output processing. 【0124】 In step S611, the measurement unit 100 calculates the glucose value from the measured reflected signal and the transmitted signal, respectively. 【0125】In step S612, the measurement unit 100 determines, based on the measurement results stored in the memory unit 156, whether the difference between each calculated glucose value and the previous measurement value is within a certain limit. 【0126】 In step S612, if it is determined that the difference between each glucose value and the previous measurement value is within a certain range, the process proceeds to step S613, where the measurement unit 100 selects a value between each glucose value as the current measurement value. 【0127】 On the other hand, if in step S612 it is determined that the difference between each glucose value and the previous measurement value is not within a certain limit, the process proceeds to step S613, where the measurement unit 100 selects a glucose value close to the previous measurement value as the current measurement value. 【0128】 After step S613 or step S614, in step S615, the measurement unit 100 outputs glucose calculation information. 【0129】 Specifically, in step S615 following step S613, glucose calculation information based on both the reflected signal and the transmitted signal is output. This glucose calculation information is the value between the glucose values calculated by the reflected signal and the transmitted signal, respectively, which is selected as the final glucose value. Furthermore, in step S615 following step S614, glucose calculation information corresponding to the reflected signal or the transmitted signal selected as the signal used to calculate the glucose value is output. 【0130】 Through the above process, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, or by using both, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, and to achieve highly accurate glucose value measurement. 【0131】 (Example 7) In the seventh example of glucose calculation information output processing, one of the multiple reflected signals measured by multiple sensors, or one of the multiple transmitted signals measured by multiple sensors, is selected. 【0132】Figure 16 is a flowchart showing the seventh example of glucose calculation information output processing. 【0133】 In step S711, the measurement unit 100 calculates the glucose value from the first reflected signal measured by the sensor 11. 【0134】 In step S712, the measurement unit 100 determines whether the difference between the calculated glucose value and the previous measurement value is within a certain limit, based on the measurement results stored in the memory unit 156. 【0135】 In step S712, if it is determined that the difference from the previous measurement is within a certain value, the process proceeds to step S713, where the measurement unit 100 selects the glucose value from the first reflected signal as the current measurement. 【0136】 On the other hand, if it is determined in step S712 that the difference from the previous measurement is not within a certain value, the process proceeds to step S714, where the measurement unit 100 calculates the glucose value from the second reflected signal measured by the sensor 12. 【0137】 In step S715, the measurement unit 100 determines whether the difference between the calculated glucose value and the previous measurement value is within a certain limit, based on the measurement results stored in the memory unit 156. 【0138】 In step S715, if it is determined that the difference from the previous measurement is within a certain value, the process proceeds to step S716, where the measurement unit 100 selects the glucose value from the second reflected signal as the current measurement. 【0139】 On the other hand, if it is determined in step S715 that the difference from the previous measurement is not within a certain value, the process proceeds to step S717, and the measurement unit 100 selects the glucose value based on the transmission signal as the current measurement. 【0140】 After step S713, step S716, or step S717, in step S718, the measurement unit 100 outputs one of the first reflected signal, the second reflected signal, or the transmitted signal selected as the signal used to calculate the glucose value, as glucose calculation information. 【0141】Here, the RF signal input to sensor 11 and passed through sensor 12 is measured as the transmitted signal. However, it is also possible to measure the RF signal input to sensor 12 and passed through sensor 11, and to select one of these transmitted signals. Furthermore, if the difference between the glucose values calculated from each of the multiple reflected signals and multiple transmitted signals and the previous measurement value is not within a certain limit, a remeasurement may be performed. 【0142】 Through the above process, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, and to achieve highly accurate glucose value measurement. 【0143】 <4. Modifications and Specific Examples of the Measurement System> Here, we will explain modifications and specific examples of the measurement system 1 described above. 【0144】 (Modified Measurement Unit) Figure 17 is a block diagram showing a modified measurement unit 100. 【0145】 The measurement unit 100 shown in Figure 17 differs from the measurement unit 100 described with reference to Figure 2 in that it does not have an RF receiving unit 154 and a directional coupler 211 is newly provided. 【0146】 The directional coupler 211 inputs the RF signal from the directional coupler 152 to the sensor 12, and also inputs the RF signal from the sensor 12 to the RF receiver 153. 【0147】 The RF receiver 153 can receive RF signals from the directional coupler 152 and RF signals from the directional coupler 211 by switching between them in a time-division manner. That is, the RF receiver 153 can receive reflected signals from sensor 11 and transmitted signals from sensor 12, or receive reflected signals from sensor 12 and receive RF signals from sensor 11 as transmitted signals. 【0148】 (Variations of the measurement system) Figure 18 is a block diagram showing a variation of the measurement system. 【0149】The measurement system 301 shown in Figure 18 differs from the measurement system 1 described with reference to Figure 1 in that it does not have a glucose calculation unit 120 and has a measurement unit 100A instead of the measurement unit 100. 【0150】 Figure 19 is a block diagram showing an example of the configuration of the measurement unit 100A. 【0151】 The measurement unit 100A shown in Figure 19 has the same configuration as the measurement unit 100 in Figure 17, in addition to including a glucose calculation unit 310. 【0152】 Thus, the measurement unit and the glucose calculation unit may be integrated into a single chip or a single module. 【0153】 (Specific example of a measurement system) Figure 20 is a block diagram showing a specific configuration example of a measurement system to which the technology relating to this disclosure is applied. 【0154】 The measurement system 401 shown in Figure 20 consists of a smartwatch 500 and a smartphone 600. 【0155】 The smartwatch 500 is a measurement module to which the technology described herein is applied, and is configured as a wearable device worn on the user's wrist. The sensors 11 and 12 may be integrated with the smartwatch 500. 【0156】 In addition to the measurement unit 100 and RF switch 110 described above, the smartwatch 500 also has a communication unit 510. 【0157】 On the other hand, the smartphone 600 is configured as an information processing device carried by the user. 【0158】 In addition to the glucose calculation unit 120 described above, the smartphone 600 also has a communication unit 610 and a display unit 620. The glucose calculation unit 120 is implemented by an application that runs on the smartphone 600. 【0159】In the smartwatch 500, information such as S-parameters measured by the implemented sensors 11 and 12, and amplitude and phase values calculated based on the S-parameters, is transmitted to the smartphone 600 via BLE communication by the communication unit 510. 【0160】 In the smartphone 600, the glucose value is calculated based on the information received from the smartwatch 500 by the communication unit 610 and presented to the user by being displayed on the display unit 620. 【0161】 Various sensors, such as touch sensors, EC sensors, accelerometers, and skin moisture sensors, may be implemented in either the smartwatch 500 or the smartphone 600. 【0162】 Furthermore, in the measurement system 401, instead of the smartphone 600, a cloud server that can be connected via the internet may be provided, and the glucose value may be calculated on the said cloud server. 【0163】 Even with the configuration described above, by adaptively selecting the reflected signal and the transmitted signal as the signals used to calculate the glucose value, it is possible to suppress the decrease in measurement accuracy due to deterioration of contact caused by factors such as body movement, thereby enabling highly accurate measurement of glucose values. 【0164】 The effects described herein are illustrative and not limited to those described herein, and other effects may also occur. 【0165】 The embodiments of this disclosure are not limited to those described above, and various modifications are possible without departing from the spirit of this disclosure. 【0166】 The effects described herein are merely illustrative and not limited to those described herein; other effects may also occur. 【0167】Furthermore, the technology relating to this disclosure can take the following configurations: (1) A measurement module comprising a plurality of sensors attached to the human body via electrodes, and a measurement unit that outputs glucose calculation information for calculating the glucose value in the human body based on a reflected signal and a transmitted signal measured by inputting an RF signal to at least one of the sensors. (2) The measurement module according to (1), further comprising an RF switch for switching between measuring the reflected signal and measuring the transmitted signal. (3) The measurement module according to (1) or (2), wherein the measurement unit inputs the RF signal of 1 GHz to 9 GHz to at least one of the sensors. (4) The measurement module according to any one of (1) to (3), wherein the glucose calculation information includes the reflected signal, the transmitted signal, and at least one of the amplitude value or phase value of the reflected signal or the transmitted signal. (5) The measurement module according to any one of (1) to (3), wherein the measurement unit selects either the reflected signal or the transmitted signal and outputs it as glucose calculation information based on the signal quality of at least one of the reflected signal and the transmitted signal, or sensor data indicating the state of the human body. (6) The measurement module according to (5), wherein the measurement unit selects either the reflected signal or the transmitted signal based on a past time series of the amplitude or phase values of the reflected signal or the transmitted signal. (7) The measurement module according to (5), wherein the measurement unit selects either the reflected signal or the transmitted signal using the glucose value calculated in the past. (8) The measurement module according to (5), wherein the measurement unit selects either the reflected signal or the transmitted signal using the degree of contact with the human body. (9) The measurement module according to (8), wherein the measurement unit determines the degree of contact from the sensor data of the touch sensor. (10) The measurement module according to (8), wherein the measurement unit determines the degree of contact from the sensor data of the EC (Electrical Conductivity) sensor. (11) The measurement module according to (5), wherein the measurement unit selects either the reflected signal or the transmitted signal using the acceleration value of the human body.(12) The measurement module according to (5), wherein the measurement unit selects either the reflected signal or the transmitted signal using the amount of skin moisture of the human body. (13) The measurement module according to (5), wherein the measurement unit selects either any of the multiple reflected signals measured by the multiple sensors or any of the multiple transmitted signals measured by the multiple sensors. (14) The measurement module according to any one of (1) to (3), wherein the measurement unit outputs glucose calculation information based on both the reflected signal and the transmitted signal. (15) The measurement module according to (14), wherein the measurement unit selects a value between the glucose value calculated by the reflected signal and the transmitted signal, respectively, as the final glucose value and outputs it as glucose calculation information. (16) A measurement system including a plurality of sensors attached to the human body via electrodes, a measurement unit that outputs glucose calculation information for calculating the glucose value in the human body based on the reflected signal and the transmitted signal measured by inputting an RF signal to at least one of the sensors, and a glucose calculation unit that calculates the glucose value based on at least any of the reflected signal and the transmitted signal using the glucose calculation information. 【0168】 1 Measurement system, 11, 12 Sensors, 100 Measurement unit, 110 RF switch, 120 Glucose calculation unit, 151 Directional coupler, 152 RF transmission unit, 153 RF reception unit, 154 RF reception unit, 155 Sensor data acquisition unit, 156 Memory unit, 157 Calculation unit

Claims

1. A measurement module comprising: a plurality of sensors attached to the human body via electrodes; and a measurement unit that outputs glucose calculation information for calculating the glucose value in the human body based on reflected signals and transmitted signals measured by inputting an RF signal to at least one of the sensors.

2. The measurement module according to claim 1, further comprising an RF switch for switching between measuring the reflected signal and measuring the transmitted signal.

3. The measurement module according to claim 1, wherein the measurement unit inputs the RF signal in the range of 1 GHz to 9 GHz to at least one of the sensors.

4. The measurement module according to claim 1, wherein the glucose calculation information includes at least one of the reflected signal, the transmitted signal, and the amplitude value or phase value of the reflected signal or the transmitted signal.

5. The measurement module according to claim 1, wherein the measurement unit selects either the reflected signal or the transmitted signal and outputs it as glucose calculation information based on the signal quality of at least one of the reflected signal or the transmitted signal, or sensor data indicating the state of the human body.

6. The measurement module according to claim 5, wherein the measurement unit selects either the reflected signal or the transmitted signal based on a past time series of amplitude or phase values of the reflected signal or the transmitted signal.

7. The measurement module according to claim 5, wherein the measurement unit selects either the reflected signal or the transmitted signal using the glucose value calculated in the past.

8. The measurement module according to claim 5, wherein the measuring unit selects either the reflected signal or the transmitted signal using the degree of contact with the human body.

9. The measurement module according to claim 8, wherein the measurement unit determines the degree of contact from the sensor data of the touch sensor.

10. The measurement module according to claim 8, wherein the measurement unit determines the degree of adhesion from the sensor data of the EC (Electrical Conductivity) sensor.

11. The measurement module according to claim 5, wherein the measurement unit selects either the reflected signal or the transmitted signal using the acceleration value of the human body.

12. The measurement module according to claim 5, wherein the measurement unit selects either the reflected signal or the transmitted signal using the amount of skin moisture of the human body.

13. The measurement module according to claim 5, wherein the measurement unit selects one of the multiple reflected signals measured by the multiple sensors, or one of the multiple transmitted signals measured by the multiple sensors.

14. The measurement module according to claim 1, wherein the measurement unit outputs glucose calculation information based on both the reflected signal and the transmitted signal.

15. The measurement module according to claim 14, wherein the measurement unit selects a value between the glucose value calculated from the reflected signal and the transmitted signal, respectively, as the final glucose value and outputs it as glucose calculation information.

16. A measurement system comprising: a plurality of sensors attached to the human body via electrodes; a measurement unit that outputs glucose calculation information for calculating the glucose value in the human body based on reflected signals and transmitted signals measured by inputting an RF signal to at least one of the sensors; and a glucose calculation unit that calculates the glucose value based on at least one of the reflected signals and transmitted signals using the glucose calculation information.