Detection system

Abstract

This detection system comprises: a detection device having a pulse wave sensor and an acceleration sensor; a data processing device capable of communicating with the detection device; and a management device that performs notification according to information received from the data processing device. The pulse wave sensor and the acceleration sensor alternately repeat a measurement state and a standby state. The data processing device has a pulse wave data processing unit that calculates an acceleration pulse wave from a pulse wave, a body movement data processing unit that performs frequency analysis of acceleration, and a determination unit that determines whether a person wearing the detection device is suspected of having developed sepsis. When at least one of a first condition and a second condition is satisfied, the determination unit transmits, to the management device, information indicating that there is a suspicion of sepsis. The first condition is that the spectral intensity in a specific frequency band among the frequency components of the acceleration obtained during one measurement state is equal to or greater than a predetermined threshold. The second condition is that the average value of acceleration pulse wave amplitudes of the acceleration pulse wave calculated from the pulse wave obtained during one measurement state is equal to or greater than a predetermined prescribed value.

Description

Detection system

[0001] The present disclosure relates to a detection system.

[0002] Devices that can be worn on a human body and detect vital data are known (for example, Patent Document 1).

[0003] Japanese Patent Application Laid-Open No. 2022-121297

[0004] There is a demand to more quickly detect signs when there is a suspicion that a human has developed sepsis based on the vital data of the human. However, nothing has been known that can meet such a demand, particularly something that can realize monitoring regarding signs of sepsis.

[0005] The present disclosure has been made in view of the above problems, and an object thereof is to provide a detection system capable of more quickly detecting a suspicion that a human has developed sepsis.

[0006] A detection system according to one aspect of the present disclosure comprises: a detection device worn by a person; a data processing device provided to communicate with the detection device and to perform processing based on the output of a sensor provided on the detection device; and a management device provided to communicate with the data processing device and to provide notification in accordance with information received from the data processing device, wherein the detection device has, as sensors, a pulse wave sensor for detecting a person's pulse wave and an acceleration sensor for detecting the acceleration of a person's movement, and the pulse wave sensor and the acceleration sensor each alternately repeat a measurement state in which sensing is performed for a predetermined measurement time and a standby state in which sensing is not performed, and the detection device sends the sensing data obtained from the sensing to the data processing device. The data processing device comprises a pulse wave data processing unit that calculates an acceleration pulse wave from the pulse wave, a body motion data processing unit that performs frequency analysis of the acceleration, and a determination unit that determines whether a person wearing the detection device is suspected of developing sepsis. The determination unit performs a notification process to transmit information to the management device indicating that a person wearing the detection device is suspected of developing sepsis if at least one of the first and second conditions is met. The first condition is that the spectral intensity of a specific frequency band among the frequency components of the acceleration obtained during one measurement is above a predetermined threshold, and the second condition is that the average value of the acceleration pulse wave amplitude of the acceleration pulse wave calculated from the pulse wave obtained during one measurement is above a predetermined value.

[0007] A detection system according to one aspect of the present disclosure comprises a detection device worn by a person, having an acceleration sensor for detecting the acceleration of human movement; a data processing device provided to communicate with the detection device and to perform processing based on the output of the acceleration sensor; and a management device provided to communicate with the data processing device and to provide notification in accordance with information received from the data processing device, wherein the acceleration sensor alternately repeats a measurement state in which sensing is performed for a predetermined measurement time and a standby state in which sensing is not performed; the detection device transmits the sensing data obtained from the sensing to the data processing device; the data processing device has a body movement data processing unit that performs frequency analysis of the acceleration and a determination unit that determines whether the person wearing the detection device is suspected of developing sepsis; and the determination unit, if a condition is met, performs a notification process to transmit information to the management device indicating that the person wearing the detection device is suspected of developing sepsis, the condition being that the spectral intensity of a specific frequency band among the frequency components of the acceleration obtained during one measurement state is above a predetermined threshold.

[0008] Figure 1 is a block diagram showing the main functional configuration of the detection system. Figure 2 is a graph showing an example of a pulse wave shown by pulse wave data. Figure 3 is a graph showing an example of a pulse wave shown by acceleration pulse wave data. Figure 4 is a graph showing an example of the relationship between acceleration in each of the three axial directions (X, Y, and Z directions) shown by the output of the acceleration sensor and time, and the relationship between acceleration and the first threshold. Figure 5 is a graph showing an example of the frequency analysis processing result of the output of the acceleration sensor. Figure 6 is a graph showing an example of the frequency analysis processing result of the output of the acceleration sensor, which is different from Figure 5. Figure 7 is a time chart showing an example of the relationship between the passage of time and the operation of the detection device and the data processing device. Figure 8 is a flowchart showing the processing flow by the data processing device. Figure 9 is a flowchart showing the measurement processing flow, which is the processing in step S6 in Figure 8. Figure 10 is a flowchart showing the false alarm detection processing flow, which is the processing in step S12 in Figure 8. Figure 11 is a flowchart showing the body motion noise detection response processing flow, which is the processing in step S15 in Figure 8. Figure 12 is a flowchart showing the processing flow of the data processing device when the first emergency mode and the second emergency mode are distinguished. Figure 13 shows an example of the configuration of a detection device. Figure 14 shows an example of the configuration of a data processing device. Figure 15 shows an example of the configuration of a management device.

[0009] The embodiments of this disclosure will be described below with reference to the drawings. It should be noted that the disclosure is merely an example, and modifications that can be easily conceived by those skilled in the art while maintaining the spirit of the invention are naturally included within the scope of this disclosure. Furthermore, the drawings may schematically represent the width, thickness, shape, etc., of parts in order to clarify the explanation, but these are merely examples and do not limit the interpretation of this disclosure. In addition, in this specification and the drawings, elements similar to those described above in previously shown drawings are denoted by the same reference numerals, and detailed explanations may be omitted as appropriate.

[0010] Figure 1 is a block diagram showing the main functional configuration of the detection system 1. The detection system 1 comprises a detection device 10, a data processing device 20, and a management device 30. The detection device 10 includes a pulse wave sensor 11, an acceleration sensor 12, a data processing circuit 13, and a communication module 14. The configuration encompassing the pulse wave sensor 11 and the acceleration sensor 12 is referred to as sensor 100. The data processing device 20 includes a communication module 21, a pulse wave data processing unit 22, a body movement data processing unit 23, a storage unit 24, a determination unit 25, and an operation mode management unit 26. The configuration encompassing the pulse wave data processing unit 22 and the body movement data processing unit 23 is referred to as data processing unit 200. The management device 30 includes a communication module 31, a notification unit 32, and a setting input unit 33.

[0011] The pulse wave sensor 11 is a sensor that detects pulse waves using so-called photoplethysmography (PPG). Specifically, the pulse wave sensor 11 includes a light-emitting element such as a light-emitting diode (LED) and a photodetector such as a photodiode (PD). The pulse wave sensor 11 detects the reflected or transmitted light emitted from the light-emitting element toward the biological tissue containing the blood vessels using the photodetector. By performing detection by the pulse wave sensor 11 continuously over time, the periodic volume change of blood circulating in the blood vessels can be detected as a pulse wave.

[0012] The acceleration sensor 12 is a sensor that can detect how much the position changes per unit time (rate of change of position). In this embodiment, the acceleration sensor 12 is configured to detect acceleration in three mutually orthogonal directions (X direction, Y direction, and Z direction). The acceleration sensor 12 may also be configured to detect acceleration and angular velocity in three or more axes, such as a motion sensor.

[0013] The data processing circuit 13 controls the operation and output of the pulse wave sensor 11 and the acceleration sensor 12. The data processing circuit 13 includes a sensing data output control unit 131, a buffer memory 132, and an operation mode management unit 133. The data processing circuit 13 is composed of a dedicated circuit implemented in accordance with the functions performed by the data processing circuit 13, but such a dedicated circuit may be packaged as a single unit, or it may be a combination of multiple circuits, and the specific form of the circuit is not particularly limited.

[0014] The sensing data output control unit 131 performs data processing to transmit the outputs from the pulse wave sensor 11 and the acceleration sensor 12 as sensing data to the data processing unit 20. The circuits that perform analog / digital conversion processing to convert the analog output of the sensors into digital signals may be provided by the pulse wave sensor 11 and the acceleration sensor 12, respectively, or by the data processing circuit 13.

[0015] The buffer memory 132 temporarily stores the outputs from the pulse wave sensor 11 and the acceleration sensor 12. The outputs from the pulse wave sensor 11 and the acceleration sensor 12 are converted into digital signals and then temporarily stored in the buffer memory 132. The sensing data output control unit 131 reads the outputs from the pulse wave sensor 11 and the acceleration sensor 12 stored in the buffer memory 132 and performs data processing to transmit them as sensing data to the data processing unit 20. The sensing data output control unit 131 outputs the sensing data generated by this data processing to the communication module 14.

[0016] The operation mode management unit 133 manages the operation mode of the detection device 10. The operation of the operation mode management unit 133 will be described later.

[0017] The target of sensing by the pulse wave sensor 11 and the acceleration sensor 12 is a human being. The detection device 10 is a device worn by a person. Therefore, the pulse wave sensor 11 detects the pulse wave of a person. The acceleration sensor 12 detects the acceleration of a person's movements. As illustrated in Figure 13, which will be described later, the detection device 10 is, for example, a ring-shaped device worn on a person's finger Fg, but it is not limited to this, and any device that can detect pulse waves with the pulse wave sensor 11 and detect acceleration with the acceleration sensor 12 is acceptable.

[0018] Communication modules 14, 21, and 31 perform data transmission and reception via communication. Communication modules 14, 21, and 31 have circuits for functioning as NICs (Network Interface Controllers) and are provided to enable communication using a predetermined common network protocol. Data transmission between the detection device 10 and the data processing device 20 is performed via communication between communication module 14 and communication module 21. Data transmission between the data processing device 20 and the management device 30 is performed via communication between communication module 21 and communication module 31. Although not described in this embodiment, data transmission between the detection device 10 and the management device 30 may also be performed via communication between communication module 14 and communication module 31.

[0019] The data processing device 20 is configured to communicate with the detection device 10 and performs processing based on the output of the sensor 100 provided on the detection device 10. The output of the pulse wave sensor 11 and the output of the acceleration sensor 12, which are handled by the processing performed by the configuration included in the data processing device 20, are transmitted from the detection device 10 via the communication module 14 by the data processing circuit 13 as sensing data and are included in the data received by the pulse wave data processing unit 22 via the communication module 21.

[0020] In this embodiment, the output of the pulse wave sensor 11 obtained over a predetermined measurement time (first measurement time) and the output of the acceleration sensor 12 obtained over a predetermined measurement time (second measurement time) are treated as a single sensing data. That is, the output of the pulse wave sensor 11 and the output of the acceleration sensor 12 handled by the processing performed by the configuration included in the data processing device 20 are the output of the pulse wave sensor 11 for the first measurement time unit and the output of the acceleration sensor 12 for the second measurement time unit. The first measurement time and the second measurement time may be the same or different. In this embodiment, the first measurement time and the second measurement time are, for example, 30 seconds, but they may be shorter or longer than 30 seconds. In the following description of the embodiment, when simply referred to as "measurement time," it encompasses both the first measurement time and the second measurement time. That is, in this embodiment, sensing by the pulse wave sensor 11 and the acceleration sensor 12 is performed for the measurement time in "one sensing," and the output of the pulse wave sensor 11 and the output of the acceleration sensor 12 are obtained.

[0021] The pulse wave data processing unit 22, the body movement data processing unit 23, the determination unit 25, and the operation mode management unit 26 are functions performed by hardware, for example, by having hardware perform information processing that would otherwise be done by software. In other words, the pulse wave data processing unit 22, the body movement data processing unit 23, the determination unit 25, and the operation mode management unit 26 are realized by a function performed by an arithmetic circuit that functions as a CPU (Central Processing Unit), which reads a software program corresponding to the processing content and executes it. Such an arithmetic circuit is, for example, the arithmetic circuit 27 in Figure 14, which will be described later. Such a software program is, for example, the data processing program 243 in Figure 14. Note that the pulse wave data processing unit 22, the body movement data processing unit 23, the determination unit 25, and the operation mode management unit 26 may each be composed of dedicated circuits implemented to correspond to the functions they perform.

[0022] The pulse wave data processing unit 22 performs processing to calculate an acceleration pulse wave from the human pulse wave detected by the pulse wave sensor 11. The pulse wave data processing unit 22 includes a filter processing unit 221 and an acceleration pulse wave calculation unit 222.

[0023] The filter processing unit 221 performs filtering on the output of the pulse wave sensor 11. This filtering is performed for the purpose of extracting the pulse wave signal component from the output of the pulse wave sensor 11.

[0024] Figure 2 is a graph showing an example of a pulse wave as indicated by the pulse wave data. The filter processing unit 221 of this embodiment applies a bandpass filter to the output of the pulse wave sensor 11 that extracts frequency components from 0.5 Hz to 5 Hz and excludes other frequency components. By applying this bandpass filter, pulse wave data corresponding to a graph showing the relationship between time and blood volume in a blood vessel, as illustrated in Figure 2, can be obtained from the output of the pulse wave sensor 11.

[0025] The acceleration pulse wave calculation unit 222 performs processing to obtain acceleration pulse wave data based on the pulse wave data obtained by the filtering process performed by the filtering processing unit 221.

[0026] Figure 3 is a graph showing an example of a pulse wave represented by acceleration pulse wave data. The acceleration pulse wave calculation unit 222 applies the second derivative to the pulse wave data. Through this second derivative, acceleration pulse wave data corresponding to the graph showing the relationship between time and acceleration pulse wave, as exemplified in Figure 3, is obtained from the pulse wave data exemplified in Figure 2. In this way, the acceleration pulse wave calculation unit 222 of the pulse wave data processing unit 22 calculates the acceleration pulse wave by performing the second derivative. Note that the graph shown in Figure 3 can be said to be the second derivative of the graph shown in Figure 2. The data after processing by the acceleration pulse wave calculation unit 222 is output as pulse wave data 241 and stored by the storage unit 24.

[0027] As illustrated in Figure 3, an acceleration pulse wave graph can be represented by a graph with acceleration on the vertical axis and time on the horizontal axis. This graph shows that when a human pulse wave is represented as an acceleration pulse wave, the moments when acceleration is significantly low (bottom moments) and the moments when acceleration is significantly high (peak moments) occur alternately, as if with some periodicity. In Figure 3, a period containing the time-closest bottom and peak is defined as one unit of time, and the time boundaries of each period are shown as timings T1, T2, T3, T4, T5, and T6. The acceleration difference between one bottom and one peak in each period is shown as the acceleration pulse wave amplitudes P1, P2, P3, P4, P5, and P6. Hereafter, when acceleration pulse wave amplitude is mentioned, it refers to the acceleration difference between one bottom and one peak in the acceleration pulse wave, such as acceleration pulse wave amplitudes P1, P2, P3, P4, P5, and P6.

[0028] The body motion data processing unit 23 performs frequency analysis of the acceleration of human movements detected by the acceleration sensor 12, with the aim of detecting characteristic body movements when a person develops sepsis, based on the output of the acceleration sensor 12. The body motion data processing unit 23 has a first analysis unit 231 and a second analysis unit 232.

[0029] The first analysis unit 231 counts the number of times the output value of the acceleration sensor exceeds a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) based on the output of the acceleration sensor 12.

[0030] Figure 4 is a graph showing an example of the relationship between acceleration in each of the three axial directions (X, Y, and Z) indicated by the output of the acceleration sensor 12 and time, and the relationship between acceleration and the first threshold Q1. In the example shown in Figure 14, among the accelerations in the X direction generated by the user's body movement of the detection device 10, the accelerations that exceed the first threshold Q1 are accelerations X1, X2, X3, X4, X5, and X6. Also, among the accelerations in the Y direction generated by the user's body movement of the detection device 10, the accelerations that exceed the first threshold Q1 are accelerations Y1, Y2, Y3, Y4, Y5, Y6, and Y7. Note that there are no accelerations in the Z direction generated by the user's body movement of the detection device 10 that exceed the first threshold Q1. In the example shown in Figure 14, the first analysis unit 231 counts that an acceleration exceeding the first threshold Q1 occurred 6 times in the X direction, 7 times in the Y direction, and 0 times in the Z direction.

[0031] In this embodiment, the first analysis unit 231 counts the number of times an acceleration exceeding the first threshold Q1 occurs, which is substantially equivalent to counting the time during which an acceleration exceeding the first threshold Q1 occurs. This is because acceleration is the rate of change of position per unit time. In other words, if an acceleration exceeding the first threshold Q1 occurs k times, it means that an acceleration exceeding the first threshold Q1 occurred for a time of unit time × k.

[0032] The second analysis unit 232 performs frequency analysis processing on the output of the acceleration sensor 12 if the number of times counted by the first analysis unit 231 is equal to or greater than a predetermined first specified value. The number of times counted by the first analysis unit 231 refers to the number of times an acceleration operation exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurs.

[0033] In this embodiment, the number of times an acceleration exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurs is counted individually for each direction in which acceleration can be detected by the acceleration sensor 12. If the number of counts in any one or more directions is equal to or greater than a first specified value, frequency analysis processing of the output of the acceleration sensor 12 is performed. If there are multiple directions in which acceleration can be detected by the acceleration sensor 12, how the count of the number of times an acceleration exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurs can be handled may be changed as appropriate. As in the embodiment described above, they may be counted individually, or the counts for each of the multiple directions may be added together to form a total.

[0034] Figure 5 is a graph showing an example of the frequency analysis processing results of the output of the acceleration sensor 12. Figure 6 is a graph showing an example of the frequency analysis processing results of the output of the acceleration sensor 12, but different from Figure 5. A characteristic physical movement when a person develops sepsis is that when the acceleration of the physical movement is frequency-analyzed, a peak occurs in a specific frequency band where the spectral intensity is higher than in other frequency bands. This specific frequency band is, for example, the frequency band from 3 Hz to 5 Hz. If sepsis has not developed, such a peak does not occur. In this embodiment, a second threshold Q2 is set to determine whether such a peak has occurred. If a spectral intensity of the second threshold Q2 or higher occurs in a specific frequency band, the user of the detection device 10 is treated as suspected to have developed sepsis.

[0035] If the frequency analysis performed by the second analysis unit 232 yields results like those shown in Figure 5, then since no spectral intensity exceeding the second threshold Q2 occurs in a specific frequency band, the acceleration exceeding the first threshold Q1 counted by the first analysis unit 231 is considered to be unrelated to sepsis and is instead caused by the user's body movements (body movement noise) in the detection device 10.

[0036] Thus, the determination unit 25 determines that the acceleration sensor 12 has detected body movement noise from a person wearing the detection device 10 if the number of times the acceleration obtained by the acceleration sensor 12 during a single measurement state exceeds a predetermined acceleration threshold (e.g., first threshold Q1) is greater than or equal to a predetermined number (e.g., first specified value), and the spectral intensity of a specific frequency band (e.g., the frequency band from 3 Hz to 5 Hz) among the frequency components of the acceleration obtained during that single measurement state is less than a predetermined threshold (e.g., second threshold Q2). In this case, the body movement noise detection response operation described later in the embodiment is performed.

[0037] On the other hand, if the frequency analysis performed by the second analysis unit 232 yields results like those in Figure 6, it is assumed that the acceleration exceeding the first threshold Q1 counted by the first analysis unit 231 is likely due to the user of the detection device 10 developing sepsis, as spectral intensities above the second threshold Q2 occur in a specific frequency band. In Figure 6, the peak of spectral intensity above the second threshold Q2 is shown as peak E1.

[0038] The data processed by the first analysis unit 231 and the data processed by the second analysis unit 232 (if processing by the second analysis unit 232 occurs) are output as motion data 242 and stored in the storage unit 24.

[0039] Although Figures 2, 3, 5, and 6 illustrate excerpts of 6 seconds of data, the actual time sensed as the output of the pulse wave sensor 11 and the acceleration sensor 12 can be longer. For example, in the embodiment described above, it is 30 seconds.

[0040] The memory unit 24 has a storage device that stores pulse wave data 241 and body movement data 242. Examples of storage devices in the memory unit 24 include, for example, flash memory and SSD (Solid State Drive), but it is not limited to these, and other configurations that function similarly may be used.

[0041] The determination unit 25 determines whether a person wearing the detection device 10 is suspected of having developed sepsis. Specifically, the determination unit 25 determines whether the user of the detection device 10 is suspected of having developed sepsis based on the pulse wave data 241 and body movement data 242. Specifically, the determination unit 25 reads the pulse wave data 241 and calculates the average value of the acceleration pulse wave amplitude. If the average value is greater than or equal to a predetermined second specified value, the determination unit 25 determines that the user of the detection device 10 is suspected of having developed sepsis. More specifically, the determination unit 25 individually determines the magnitude of the acceleration pulse wave amplitude, such as the acceleration pulse wave amplitudes P1, P2, P3, P4, P5, and P6 shown in Figure 3. In this way, the determination unit 25 determines the average value of the acceleration pulse wave amplitude of the acceleration pulse wave calculated from the pulse waves obtained during one measurement state. The determination unit 25 individually determines the magnitude of the acceleration pulse wave amplitude that appeared during a single measurement period, calculates the average value of the multiple acceleration pulse wave amplitudes obtained, and makes a determination by comparing the calculated average value with a second specified value.

[0042] Furthermore, the determination unit 25 reads the body motion data 242 and determines that if a spectral intensity of the second threshold Q2 or higher occurs in a specific frequency band in the frequency analysis of the output of the acceleration sensor 12, there is a suspicion that the user of the detection device 10 has developed sepsis. In other words, if a spectral intensity of the second threshold Q2 or higher occurs in a specific frequency band, or if frequency analysis is not performed by the second analysis unit 232, the body motion data 242 is treated as not indicating a suspicion that the user of the detection device 10 has developed sepsis. The case where frequency analysis is not performed by the second analysis unit 232 refers to the case where the output of the acceleration sensor 12 is obtained in which the number of times acceleration movements exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurs is less than a first specified value.

[0043] When the determination unit 25 obtains the output of the acceleration sensor 12 where the spectral intensity of the output of the acceleration sensor 12 in the frequency analysis is not more than the second threshold Q2 in a specific frequency band or the number of occurrences of an acceleration operation exceeding a predetermined threshold (for example, the first threshold Q1 shown in FIG. 4) is less than the first specified value, and obtains the output of the pulse wave sensor 11 where the average value of the acceleration pulse wave amplitude is less than the second specified value, it determines that there is no suspicion that the user of the detection device 10 has developed sepsis at the time when the output of the pulse wave sensor 11 and the output of the acceleration sensor 12 are obtained.

[0044] The operation mode management unit 26 controls the operation mode of the detection device 10 and the operation mode of the data processing device 20. Here, the operation mode of the detection device 10 and the operation mode of the data processing device 20 will be described. In the embodiment, the output of the pulse wave sensor 11 and the output of the acceleration sensor 12 do not always occur. In the embodiment, a standby state where sensing is not performed and a measurement state where sensing is performed occur alternately. Also, in the embodiment, there are a steady mode where the time of the standby state is relatively long and an emergency mode where the time of the standby state is relatively short. In the embodiment, either the steady mode or the emergency mode is applied to the operations of the detection device 10 and the data processing device 20.

[0045] FIG. 7 is a diagram showing a time chart showing an example of the relationship between the passage of time and the operations of the detection device 10 and the data processing device 20. "When steady mode continues" in FIG. 7 shows a time chart when the operations of the detection device 10 and the data processing device 20 continue to operate in the steady mode and do not enter the emergency mode. "When mode switching occurs" in FIG. 7 shows a time chart when the detection device 10 and the data processing device 20 enter the emergency mode. "When body movement noise detection corresponding operation occurs" in FIG. 7 shows a time chart when the detection device 10 and the data processing device 20 operate in the steady mode and a body movement noise detection corresponding operation occurs. In the time chart shown in FIG. 7, it is assumed that the operations of the detection device 10 and the data processing device 20 start from timing F0.

[0046] As shown in "During steady mode continuation", "When mode switching occurs", and "When body movement noise detection response operation occurs" in FIG. 7, detection device 10 and data processing device 20 operate in the steady mode when starting the operation. In the steady mode, detection device 10 and data processing device 20 operate such that standby time W1, which is a standby state, and measurement time M1, which is a measurement state, occur alternately.

[0047] In the standby state, pulse wave sensor 11 and acceleration sensor 12 of detection device 10 do not operate. Also, in the standby state, sensing data output control unit 131 of data processing circuit 13 performs processing for managing the passage of time until transitioning to the next measurement state, that is, counting the standby time W1, and is in a state where no other active operation is performed. Note that communication module 14 waits in a state of responding to external communication. Data transmission from detection device 10 via communication module 14 does not occur in the standby state unless processing of detection device 10 in response to the external communication occurs.

[0048] In the standby state, communication module 21 of data processing device 20 waits in a state of responding to external communication. Data transmission from data processing device 20 via communication module 21 does not occur in the standby state unless processing of data processing device 20 in response to the external communication occurs. In the standby state, pulse wave data processing unit 22, body movement data processing unit 23, and determination unit 25 do not operate. In the standby state, operation mode management unit 26 waits in a state of accepting data reception from the outside via communication module 21.

[0049] Meanwhile, in the measurement state, the pulse wave sensor 11 of the detection device 10 operates and generates an output from the pulse wave sensor 11. Also in the measurement state, the acceleration sensor 12 operates and generates an output from the acceleration sensor 12. Based on the output of the pulse wave sensor 11 and the output of the acceleration sensor 12, the data processing circuit 13 generates sensing data and transmits the sensing data to the data processing device 20 via the communication module 14. The data processing device 20 in the measurement state receives the sensing data via the communication module 21. The pulse wave data processing unit 22 in the measurement state obtains acceleration pulse wave data based on the output of the pulse wave sensor 11 included in the sensing data. The body motion data processing unit 23 in the measurement state counts the number of times an acceleration motion exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurs based on the output of the acceleration sensor 12 included in the sensing data, and performs frequency analysis processing of the output of the acceleration sensor 12 if the number is equal to or greater than a first specified value. The storage unit 24 in the measurement state newly stores the pulse wave data 241 and body motion data 242. The measurement status determination unit 25 determines, based on the latest pulse wave data 241 and body movement data 242, whether the user of the detection device 10 is suspected of having developed sepsis.

[0050] The measurement time M1, which is the measurement state, includes the measurement time described above and the processing time after the measurement time. The processing time after the measurement time refers to the time from when sensing data is generated according to the sensor outputs obtained during the measurement time (output of pulse wave sensor 11 and output of acceleration sensor 12), when the sensing data is transmitted from the detection device 10 to the data processing device 20, until the data processing device 20 performs processing based on the sensing data. Since the processing time after the measurement time is an extremely short period of time that can be considered instantaneous compared to the measurement time, the measurement time M1 is substantially almost equal to the measurement time.

[0051] In this manner, the pulse wave sensor 11 and the acceleration sensor 12 alternately repeat a measurement state in which they sense a person wearing the detection device 10 for a predetermined measurement time (measurement time M1), and a standby state in which they do not perform such sensing.

[0052] When the detection mode management unit 26 determines, by the determination unit 25, that the user of the detection device 10 is suspected of having developed sepsis while the operation mode of the detection device 10 and the operation mode of the data processing device 20 are in steady mode, the operation mode management unit 26 changes the operation mode of the detection device 10 and the operation mode of the data processing device 20 from steady mode to emergency mode. In emergency mode, the detection device 10 and the data processing device 20 operate so that a standby time W2, which is a standby state, and a measurement time M1, which is a measurement state, alternate. The standby time W2 is significantly shorter than the standby time W1.

[0053] In Figure 7, "Mode Switching Occurs," the detection device 10 and data processing device 20 operate in emergency mode between timing F1 and timing F2. Specifically, "Mode Switching Occurs" in Figure 7 indicates a case where the determination result of the judgment unit 25, based on the sensing data obtained during the measurement time M1 of measurement state G1 immediately preceding timing F1, is "there is a suspicion that the user of the detection device 10 has developed sepsis."

[0054] In this embodiment, when the operating mode of the detection device 10 and the operating mode of the data processing device 20 enter emergency mode, an emergency notification process is performed to the management device 30. Specifically, as an emergency notification process, the operating mode management unit 26 transmits first notification information to the management device 30 via the communication module 21. The first notification information indicates that vital data suggesting that the user of the detection device 10 has developed sepsis has been detected. The first notification information is transmitted to the notification unit 32 via the communication module 31 of the management device 30. The notification unit 32 provides notification corresponding to the first notification information. The notification by the notification unit 32 is, for example, a display by the display unit 36 ​​(see Figure 15) provided in the management device 30, but is not limited to this, and may also be an audio notification using a speaker provided in the management device 30, or may be further accompanied by a vibration notification (so-called vibration) from a vibration generating unit provided in the management device 30. Thus, the management device 30 is provided to communicate with the data processing device 20 and provides notification in accordance with the information received from the data processing device 20.

[0055] Furthermore, the emergency notification process by the determination unit 25 is a notification process that is performed when at least one of the first and second conditions is met, and transmits information to the management device 30 indicating that a person wearing the detection device 10 is suspected of having developed sepsis. The first condition is that the spectral intensity of a specific frequency band (e.g., 3 Hz to 5 Hz) among the frequency components of the acceleration of a person's movement obtained by detection by the acceleration sensor 12 during one measurement state is above a predetermined threshold (e.g., second threshold Q2). The second condition is that the average value of the acceleration pulse wave amplitude of the acceleration pulse wave calculated from the pulse wave of a person obtained by detection by the pulse wave sensor 11 during one measurement state is above a predetermined specified value (e.g., second specified value).

[0056] The management device 30 is assumed to be owned by a medical professional such as a doctor. Based on the notification from the notification unit 32, the user of the management device 30 will be able to take action based on the fact that the user of the detection device 10 is suspected to have developed sepsis.

[0057] During emergency mode, the standby time W2 is significantly shorter than the standby time W1 in steady mode, resulting in a more frequent measurement time M1. In other words, sensing of the user by the detection device 10 and determination based on the output of the pulse wave sensor 11 and the acceleration sensor 12 are performed more frequently. This is because, if the detection device 10 determines that the user is suspected of having sepsis, it is desirable to quickly grasp any changes in the user's condition based on the output of the pulse wave sensor 11 and the acceleration sensor 12.

[0058] The switching between the standby time W1 in steady mode and the standby time W2 in emergency mode is performed by the operation of the operation mode management unit 26. Specifically, when the operation mode of the detection device 10 and the operation mode of the data processing device 20 change from steady mode to emergency mode, the operation mode management unit 26 changes the standby time of the data processing unit 200 and the determination unit 25 from standby time W1 to standby time W2. The operation mode management unit 26 also transmits a signal to the detection device 10 via the communication module 21 that functions as a command to change the operation mode from steady mode to emergency mode. This signal is transmitted to the operation mode management unit 133 of the data processing circuit 13 via the communication module 14 of the detection device 10. The operation mode management unit 133 changes the standby time of the pulse wave sensor 11, the acceleration sensor 12 and the sensing data output control unit 131 from standby time W1 to standby time W2 in response to this signal. In other words, the standby time for the data processing unit 200 and determination unit 25, as well as the pulse wave sensor 11, acceleration sensor 12, and sensing data output control unit 131 in steady mode is the standby time W1.

[0059] Thus, the detection device 10 is configured to be switchable between a steady mode, in which the standby time for one period is relatively long, and an emergency mode, in which the standby time for one period is relatively short. The detection device 10 operates in steady mode at the start of operation (timing F0). When the determination unit 25 receives notification information (emergency notification processing) indicating that a person wearing the detection device 10 is suspected of developing sepsis, it communicates with the detection device 10 to put it into emergency mode.

[0060] If the number of times the detection device 10 determines that the user is not suspected of having sepsis based on the output of the pulse wave sensor 11 and the output of the acceleration sensor 12 during the measurement time M1 that occurred in emergency mode exceeds a predetermined mode reset value, the operation mode management unit 26 changes the operation mode of the detection device 10 and the operation mode of the data processing device 20 from emergency mode to steady mode.

[0061] In Figure 7, "Mode Switching Occurs," the detection device 10 and data processing device 20 operate in steady mode after timing F2. Specifically, "Mode Switching Occurs" in Figure 7 indicates that the determination result of the determination unit 25 based on the sensing data obtained during the measurement time M1 of measurement state G2, which is immediately before timing F2, is "there is no suspicion that the user of the detection device 10 has developed sepsis," and that the number of times it has been determined that there is no suspicion that the user of the detection device 10 has developed sepsis while the detection device 10 is in measurement state G2 has exceeded a predetermined mode reset value.

[0062] When the operating mode of the detection device 10 and the operating mode of the data processing device 20 change from emergency mode to steady mode, the operating mode management unit 26 changes the standby time of the data processing unit 200 and the determination unit 25 from standby time W2 to standby time W1. The operating mode management unit 26 also transmits a signal to the detection device 10 via the communication module 21 that functions as a command to change the operating mode from emergency mode to steady mode. This signal is transmitted to the operating mode management unit 133 of the data processing circuit 13 via the communication module 14 of the detection device 10. The operating mode management unit 133 changes the standby time of the pulse wave sensor 11, the acceleration sensor 12, and the sensing data output control unit 131 from standby time W2 to standby time W1 in response to this signal.

[0063] In this embodiment, when the operating mode of the detection device 10 and the operating mode of the data processing device 20 return from emergency mode to steady mode, an emergency release notification process is performed to the management device 30. Specifically, as an emergency release notification process, the operating mode management unit 26 transmits second notification information to the management device 30 via the communication module 21. The second notification information indicates that vital data suggesting the user of the detection device 10 has developed sepsis is no longer detected. The second notification information is transmitted to the notification unit 32 via the communication module 31 of the management device 30. The notification unit 32 provides notification corresponding to the second notification information.

[0064] Furthermore, the operation mode management unit 26 causes the detection device 10 and the data processing device 20 to perform motion noise detection-compatible operations for a certain period after the measurement time M1 in which the output of the latest acceleration sensor 12 was obtained, when the detection device 10 and the data processing device 20 are operating in steady mode, the determination unit 25 determines that there is no suspicion that the user of the detection device 10 has developed sepsis, and the frequency analysis of the output of the latest acceleration sensor 12 has been performed. The case in which the frequency analysis of the output of the latest acceleration sensor 12 has been performed means that the output of the latest acceleration sensor 12 is obtained in which the number of times acceleration movements exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurred is equal to or greater than a predetermined first specified value.

[0065] In motion noise detection mode, the detection device 10 for obtaining the output of the acceleration sensor 12 and the data processing device 20 based on the obtained output of the acceleration sensor 12 are performed at a higher frequency compared to the steady-state mode when motion noise detection mode is not performed.

[0066] In Figure 7, "When motion noise detection response operation occurs," the motion noise detection response operation is performed between timing F3 and timing F4. That is, "When motion noise detection response operation occurs" in Figure 7 indicates that the frequency analysis of the output of the acceleration sensor 12 obtained during the measurement time M1 of measurement state G3, which is immediately before timing F3, is performed, and the result of the determination unit 25 based on the sensing data obtained during the measurement time M1 of measurement state G3 is "there is no suspicion that the user of the detection device 10 has developed sepsis." During the motion noise detection response operation, the detection device 10 and the data processing device 20 operate so that a standby state (standby time W3) and a measurement state (measurement time M1) alternate. The standby time W3 is significantly shorter than the standby time W1.

[0067] Hereafter, when "verification operation" is mentioned, it refers to the "operation of the detection device 10 to obtain the output of the acceleration sensor 12 and the operation of the data processing device 20 based on the obtained output of the acceleration sensor 12" which is performed as a motion noise detection response operation. Figure 7 shows an example where the verification operation is performed twice in the "When motion noise detection response operation occurs" section. That is, during the two measurement times M1 that occur between timing F3 and timing F4, the operation of the detection device 10 to obtain the output of the acceleration sensor 12 and the operation of the data processing device 20 based on the obtained output of the acceleration sensor 12 are performed. In other words, in the "Steady mode continuation" and "Mode switching occurrence" sections of Figure 7, the motion noise detection response operation does not occur.

[0068] In motion noise detection operation, the verification operation is repeated until it is determined that "motion noise is no longer detected." "Motion noise is no longer detected" means that the number of times the first analysis unit 231 counts, i.e., the number of times acceleration exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurs, is less than a first specified value, and the output of the acceleration sensor 12 is obtained in this manner. The number of times the output of the acceleration sensor 12 with a count of less than the first specified value is obtained is arbitrary, but in this embodiment, one or two times is applied. In this embodiment, the number of times the output of the acceleration sensor 12 with a count of less than the first specified value is obtained in order to determine that "motion noise is no longer detected" is managed by a count management counter (d), which will be described later.

[0069] As explained with reference to "When motion noise detection response operation occurs" in Figure 7, if the determination unit 25 determines that the acceleration sensor 12 has detected motion noise from a person wearing the detection device 10, it communicates with the detection device 10 to shorten the time the acceleration sensor 12 is in standby mode (for example, standby time W3). This shorter time is applied until the acceleration sensor 12 no longer determines, based on the acceleration obtained from the detection by the acceleration sensor 12, that it has detected motion noise from a person wearing the detection device 10.

[0070] Furthermore, the output of the pulse wave sensor 11 may be obtained in parallel with the output of the acceleration sensor 12 during the motion noise detection operation, or the output of the pulse wave sensor 11 may not be obtained during the motion noise detection operation. In this embodiment, the output of the pulse wave sensor 11 is not obtained during the measurement time M1 during the motion noise detection operation, but the output of the acceleration sensor 12 is obtained.

[0071] When motion noise detection operation is performed, the operation mode management unit 26 temporarily changes the standby time of the motion data processing unit 23 and the determination unit 25 from standby time W1 to standby time W3. The operation mode management unit 26 also transmits a signal that functions as a command to perform motion noise detection operation to the detection device 10 via the communication module 21. This signal is transmitted to the operation mode management unit 133 of the data processing circuit 13 via the communication module 14 of the detection device 10. The operation mode management unit 133 temporarily changes the standby time of the acceleration sensor 12 and the sensing data output control unit 131 from standby time W1 to standby time W3 in response to this signal. This temporary change continues until the verification operation is performed the number of times specified by the verification count value, or until the result of the determination unit 25's determination based on the output of the acceleration sensor 12 obtained during the motion noise detection operation is "there is a suspicion that the user of the detection device 10 has developed sepsis." The determination result of the determination unit 25 based on the output of the acceleration sensor 12 obtained during the motion noise detection operation is "there is a suspicion that the user of the detection device 10 has developed sepsis," which is equivalent to the occurrence of a spectral intensity of the second threshold Q2 or higher in a specific frequency band in the frequency analysis of the output of the acceleration sensor 12 obtained during the motion noise detection operation.

[0072] The verification operation is performed the number of times specified by the verification count value. If the determination result of the determination unit 25, based on the output of the acceleration sensor 12 obtained during the motion noise detection operation, remains "there is no suspicion that the user of the detection device 10 has developed sepsis," then the waiting time returns to waiting time W1 after the temporary change. In this embodiment, the waiting time of the pulse wave sensor 11 is also reset when the temporary change is canceled. That is, the waiting time of the pulse wave sensor 11 and the waiting time of the acceleration sensor 12 until the next measurement time M1 are shared by waiting time W1.

[0073] If the determination unit 25 determines, based on the output of the acceleration sensor 12 obtained during the motion noise detection operation, that "the user of the detection device 10 is suspected of having developed sepsis," then the temporary change is canceled, and the same processing as when the operating mode of the detection device 10 and the operating mode of the data processing device 20 are set to emergency mode is performed. That is, the standby time becomes standby time W2, and notification is sent to the management device 30.

[0074] The waiting time W1 is, for example, 2 hours. The waiting time W2 is, for example, 5 minutes or 30 minutes. The waiting time W3 is, for example, 1 minute. The measurement time M1 is, for example, any time within the range of 30 seconds to 2 minutes. These exemplified times are merely examples and are not limited to them; other times may be set.

[0075] Furthermore, it is desirable that the first specified value, second specified value, first threshold Q1, second threshold Q2, and mode reset value be set to more appropriate values ​​from the perspective of detecting human sepsis, based on verification such as prior measurements. Similarly, it is desirable that the number of verification cycles be set to a more appropriate number from the perspective of more accurately distinguishing between the movements of a person who has developed sepsis and body movement noise.

[0076] The processing flow by the data processing device 20 described above will now be explained with reference to the flowcharts in Figures 8 to 11.

[0077] Figure 8 is a flowchart showing the processing flow by the data processing device 20. First, the measurement conditions are acquired (step S1). The acquisition of measurement conditions refers to the acquisition of settings for various parameters, such as the waiting time W1, waiting time W2, waiting time W3, measurement time M1, first specified value, second specified value, first threshold Q1, second threshold Q2, mode reset value, and verification count value. Data including these parameters is held by the data processing device 20 as setting data (not shown). The detection device 10 also holds setting data of a similar nature, and the waiting time W1, waiting time W2, waiting time W3, measurement time M1, and verification count value are shared between the detection device 10 and the data processing device 20. The acquisition of these measurement conditions is performed in the data processing device 20, for example, by the operation mode management unit 26, but a dedicated configuration may also perform this.

[0078] Next, various counter variables for managing the operation of the data processing device 20 are set. Specifically, the operation mode management unit 26 sets the standby time counter (m), which counts the time spent in the standby state as described with reference to Figure 7, to an initial value of (0) (step S2). The operation mode management unit 26 also sets the false alarm counter (n), which is used in the false alarm detection process, to an initial value of (0) (step S3). Furthermore, the operation mode management unit 26 sets the operation mode of the detection device 10 and the operation mode of the data processing device 20 to a steady mode (step S4). Specifically, in the process of step S4, the operation mode management unit 26 sets the standby time of the data processing unit 200 and the determination unit 25 to standby time W1. The operation mode management unit 26 also transmits a signal that functions as a command to set the operation mode to a steady mode to the detection device 10 via the communication module 21. This signal is transmitted to the operation mode management unit 133 of the data processing circuit 13 via the communication module 14 of the detection device 10. The operation mode management unit 133 sets the standby time of the pulse wave sensor 11, acceleration sensor 12, and sensing data output control unit 131 to standby time W1 in accordance with the signal. The processing from step S2 to step S4 can be performed in any order, the order may be changed, or they may be performed in parallel.

[0079] As long as the data processing device 20 is not shut down, that is, powered off (Step S5; No), the cycle of processing from Step S6 to Step S15 described later will continue. When the data processing device 20 shuts down (Step S5; Yes), the processing ends. In the explanation of the processing from Step S6 to Step S15, it is assumed that the data processing device 20 has not shut down (Step S5; No). After the processing in Step S4, the measurement process is performed (Step S6).

[0080] Figure 9 is a flowchart showing the flow of the measurement process, which is the process in step S6 in Figure 8. First, if the operating mode is steady mode (step S21; Yes), the standby time for steady mode is set (step S22). That is, the standby time of the data processing device 20 due to the standby state as explained with reference to Figure 7 is set as standby time W1. On the other hand, if the operating mode is not steady mode, i.e., emergency mode (step S21; No), the standby time for emergency mode is set (step S23). That is, the standby time of the data processing device 20 as explained with reference to Figure 7 is set as standby time W1. Note that the processes from step S21 to step S23 are convenient branches to illustrate the settings made by the process in step S4 or step S11 described later, and the settings are not rewritten each time the process in step S21 is repeated. That is, the same standby time setting continues unless there is a switch between steady mode and emergency mode.

[0081] After processing in step S22 or step S23, the operation mode management unit 26 starts counting the waiting time (step S24). This waiting time count is performed using the waiting time counter (m) set in the processing of step S2. After processing in step S24, the waiting time count continues until the waiting time set in the processing of step S22 or step S23 has elapsed (step S25; No). Once this waiting time has elapsed (step S25; Yes), pulse wave data (see Figure 2) and body movement data (see Figure 3) are acquired (step S26). That is, sensing data obtained by the operation of the detection device 10 and transmitted from the detection device 10 to the data processing device 20 is received by the data processing device 20. The filter processing unit 221 of the data processing device 20 applies filtering to the output of the pulse wave sensor 11 included in the sensing data to obtain pulse wave data. The first analysis unit 231 of the data processing device 20 obtains body movement data from the output of the acceleration sensor 12 included in the sensing data.

[0082] After the processing in step S26, the average value of the acceleration pulse wave amplitude is calculated based on the output of the pulse wave sensor 11 included in the sensing data (step S27). That is, as explained with reference to Figure 3, the pulse wave data processing unit 22 calculates the acceleration pulse wave, and the operation mode management unit 26 calculates the average value of the acceleration pulse wave amplitude. Also, based on the output of the acceleration sensor 12 included in the sensing data, a "count of body movement data exceeding the first threshold Q1" is performed (step S28). The "count of body movement data exceeding the first threshold Q1" refers to the count of the number of times an acceleration movement exceeding the first threshold Q1 occurred, based on the output of the acceleration sensor 12, by the first analysis unit 231, as explained with reference to Figure 4. The operation mode management unit 26 also resets the standby time counter (m) (step S29). The processing from step S27 to step S29 can be performed in any order, and the order may be changed or performed in parallel. The measurement process is completed when the processing from step S21 to step S29 is completed.

[0083] After the measurement process is completed, the operation mode management unit 26 determines whether the "count of body movement data exceeding the first threshold Q1" obtained from the latest step S28 is less than or equal to a first specified value (step S7). If it is determined that the "count of body movement data exceeding the first threshold Q1" is less than or equal to a first specified value (step S7; Yes), the operation mode management unit 26 determines whether the average value of the acceleration pulse wave amplitude obtained from the process in step S27 is greater than or equal to a second specified value (step S8). If it is determined that the average value of the acceleration pulse wave amplitude is greater than or equal to a second specified value (step S8; Yes), and the operation mode is steady mode (step S9; Yes), an emergency notification process is performed to the management device 30 (step S10). The operation mode management unit 26 also sets the operation mode of the detection device 10 and the operation mode of the data processing device 20 to emergency mode (step S11). Specifically, in the process of step S11, the operation mode management unit 26 sets the waiting time of the data processing unit 200 and the determination unit 25 to waiting time W2. Furthermore, the operation mode management unit 26 transmits a signal to the detection device 10 via the communication module 21 that functions as a command to change the operation mode to emergency mode. This signal is transmitted to the operation mode management unit 133 of the data processing circuit 13 via the communication module 14 of the detection device 10. In response to this signal, the operation mode management unit 133 sets the standby time of the pulse wave sensor 11, the acceleration sensor 12, and the sensing data output control unit 131 to standby time W2. The processing in step S10 and the processing in step S11 are not in any particular order, and may be performed in any order or in parallel.

[0084] After processing in step S11, the process proceeds to step S5. Also, if the operating mode is not steady mode (step S9; No), that is, if the operating mode is emergency mode, the process proceeds to step S5.

[0085] If, in step S8, it is determined that the average value of the acceleration pulse wave amplitude is not equal to or greater than the second specified value (step S8; No), the process proceeds to the false alarm detection process (step S12).

[0086] Figure 10 is a flowchart showing the flow of the false alarm detection process, which is the process in step S12 in Figure 8. First, if the operating mode is steady mode (step S31; Yes), the series of processes from step S32 to step S36, which will be described later, are not performed, and the false alarm detection process is completed.

[0087] In the process of step S31, if the operating mode is not the steady mode (step S31; No), that is, if the operating mode is the emergency mode, the operating mode management unit 26 performs a process (n++) to add 1 to the value of the false alarm counter set in the process of step S3 (step S32). After the process of step S32, the operating mode management unit 26 determines whether the value of the false alarm counter is greater than or equal to the mode reset value (step S33). If it is determined that the value of the false alarm counter is less than the mode reset value (step S33; No), the series of processes from the process of step S34 to the process of step S36, which will be described later, are not performed, and the false alarm detection process is completed.

[0088] In step S33, if it is determined that the value of the false alarm counter is greater than or equal to the mode reset value (step S33; Yes), an emergency release notification process is performed to the management device 30 (step S34). The operation mode management unit 26 also sets the operation mode of the detection device 10 and the operation mode of the data processing device 20 to normal mode (step S35). The process in step S35 is the same as the process in step S4. The operation mode management unit 26 also resets the false alarm counter (n) (step S36). The processes from step S34 to step S36 can be performed in any order, and may be performed in any order or in parallel. After the processes from step S34 to step S36, the false alarm detection process is completed.

[0089] In step S7, if it is determined that the count of the number of times acceleration exceeding a predetermined threshold (for example, the first threshold Q1 shown in Figure 4) occurs exceeds a first specified value (step S7; No), then "calculation of frequency components of body motion data" is performed (step S13). Specifically, as explained with reference to Figures 5 and 6, the second analysis unit 232 performs frequency analysis processing of the output of the acceleration sensor 12. After the processing in step S13, the operation mode management unit 26 determines whether the spectral intensity of the component in a specific frequency band is equal to or greater than the second threshold Q2 (step S14). If it is determined that the spectral intensity of the component in a specific frequency band is equal to or greater than the second threshold Q2 (step S14; Yes), the process proceeds to step S9. On the other hand, if it is determined in step S14 that the spectral intensity of the component in a specific frequency band is not equal to or greater than the second threshold Q2 (step S14; No), then body motion noise detection processing is performed (step S15). After the processing in step S15, the process proceeds to step S12.

[0090] Figure 11 is a flowchart showing the flow of the motion noise detection response processing, which is the process in step S15 in Figure 8. First, the standby time for the motion noise detection mode is set (step S41). Specifically, in the process of step S11, the operation mode management unit 26 sets the standby time of the motion data processing unit 23 and the determination unit 25 to standby time W3. The operation mode management unit 26 also transmits a signal that functions as a command to perform the motion noise detection response operation to the detection device 10 via the communication module 21. This signal is transmitted to the operation mode management unit 133 of the data processing circuit 13 via the communication module 14 of the detection device 10. The operation mode management unit 133 sets the standby time of the acceleration sensor 12 and the sensing data output control unit 131 to standby time W3 according to this signal. The operation mode management unit 26 also sets the count management counter (d) to an initial value (0) as a counter for counting the number of verification operations described with reference to Figure 7 (step S42). The processes in step S41 and step S42 can be performed in any order, and may be performed in any order or in parallel.

[0091] After the processing in step 41 and step S42, the operation mode management unit 26 starts counting the waiting time (step S43). This waiting time count is performed using the waiting time counter (m) set in the processing of step S2. After the processing of step S43, the waiting time count continues until the waiting time set in the processing of step S42 has elapsed (step S44; No). Once this waiting time has elapsed (step S44; Yes), the body motion data (see Figure 3) is acquired (step S45). That is, the data processing device 20 receives data including the output of the acceleration sensor 12 obtained by the operation of the acceleration sensor 12 of the detection device 10 and transmitted from the detection device 10 to the data processing device 20. The first analysis unit 231 of the data processing device 20 obtains body motion data from the output of the acceleration sensor 12 included in the data.

[0092] After the processing in step S45, the "count of body movement data exceeding the first threshold Q1" is performed based on the output of the acceleration sensor 12 (step S46). The processing in step S46 is the same as the processing in step S28. The operation mode management unit 26 determines whether the "count of body movement data exceeding the first threshold Q1" from the latest processing in step S46 is less than or equal to a first specified value (step S47). If it is determined that the "count of body movement data exceeding the first threshold Q1" is less than or equal to a first specified value (step S47; Yes), the operation mode management unit 26 performs the process of adding 1 to the value of the count management counter set in the processing in step S42 (d++) (step S48). The operation mode management unit 26 also resets the waiting time counter (m) (step S49).

[0093] After the processing in step S49, the operation mode management unit 26 determines whether the value of the count management counter is equal to or greater than the verification count value (step S50). If it is determined that the value of the count management counter is less than the verification count value (step S50; No), the process proceeds to step S43. On the other hand, if it is determined that the value of the count management counter is equal to or greater than the verification count value (step S50; Yes), the motion noise detection processing is completed.

[0094] If, in step S47, it is determined that the "count of motion data exceeding the first threshold Q1" exceeds the first specified value (step S47; No), then the "calculation of the frequency components of the motion data" is performed (step S13). The process in step S51 is the same as the process in step S13. After the process in step S51, the operation mode management unit 26 determines whether the spectral intensity of the component in a specific frequency band is equal to or greater than the second threshold Q2 (step S52). If it is determined that the spectral intensity of the component in a specific frequency band is equal to or greater than the second threshold Q2 (step S52; Yes), the process proceeds to step S9. On the other hand, if, in the process in step S52, it is determined that the spectral intensity of the component in a specific frequency band is not equal to or greater than the second threshold Q2 (step S52; No), the process proceeds to step S49.

[0095] The above describes the application of operating modes through processing by the data processing device 20. However, in this embodiment, the operating modes of the detection device 10 and the data processing device 20 can also be changed manually. Manual changes to the operating modes can be made, for example, via the setting input unit 33 of the management device 30 shown in Figure 1.

[0096] The setting input unit 33 receives input from the user of the management device 30 regarding the operating mode of the detection device 10 and the operating mode of the data processing device 20. The setting input unit 33 receives input, for example, via an input receiving unit 37 (see Figure 15) provided in the management device 30. The setting input unit 33 receives input to specify the operating mode of the detection device 10 and the operating mode of the data processing device 20 to either a steady mode or an emergency mode.

[0097] When input is made to the setting input unit 33, data corresponding to that input is transmitted to the data processing unit 20 via the communication module 31. The data processing unit 20 receives this data via the communication module 21. The data is then transmitted from the communication module 21 to the operation mode management unit 26. The operation mode management unit 26 performs processing to operate the data processing unit 200, the determination unit 25, and the detection device 10 in the operation mode specified by the data (steady mode or emergency mode). Specifically, if the data indicates the specification of steady mode, the operation mode management unit 26 sets the waiting time of the data processing unit 200 and the determination unit 25 to waiting time W1. The operation mode management unit 26 also transmits a signal that functions as a command to set the operation mode to steady mode to the detection device 10 via the communication module 21. This signal is then transmitted to the operation mode management unit 133 of the data processing circuit 13 via the communication module 14 of the detection device 10. The operation mode management unit 133 sets the standby time of the pulse wave sensor 11, acceleration sensor 12, and sensing data output control unit 131 to standby time W1 in response to the signal. Furthermore, if the data indicates the designation of emergency mode, the operation mode management unit 26 sets the standby time of the data processing unit 200 and determination unit 25 to standby time W2. The operation mode management unit 26 also transmits a signal that functions as a command to set the operation mode to emergency mode to the detection device 10 via the communication module 21. This signal is transmitted to the operation mode management unit 133 of the data processing circuit 133 via the communication module 14 of the detection device 10. The operation mode management unit 133 sets the standby time of the pulse wave sensor 11, acceleration sensor 12, and sensing data output control unit 131 to standby time W2 in response to the signal.

[0098] Furthermore, if the operating mode of the detection device 10 and the operating mode of the data processing device 20 are set to emergency mode by input from the setting input unit 33, the emergency mode may be maintained until the operating mode of the detection device 10 and the operating mode of the data processing device 20 are set back to steady mode by input from the setting input unit 33. In this case, the false alarm detection process, which is the process of step S12 as described with reference to Figures 8 and 10, is omitted. Also, if the operating mode of the detection device 10 and the operating mode of the data processing device 20 are set to emergency mode by input from the setting input unit 33, the motion noise detection response process, which is the process of step S15 as described with reference to Figures 8 and 11, may be omitted.

[0099] In the above description, the operating mode of the detection device 10 and the operating mode of the data processing device 20 were essentially controlled in two stages: steady mode or emergency mode. However, it is also possible to add stages to the emergency mode to apply more multi-stage control. Specifically, the emergency mode may be further distinguished into a first emergency mode and a second emergency mode. The first emergency mode is an operating mode applied when either the average value of the acceleration pulse wave amplitude is greater than or equal to the second specified value, or the spectral intensity of the component in a specific frequency band is greater than or equal to the second threshold Q2, is satisfied, but the other is not. The second emergency mode is an operating mode applied when both the average value of the acceleration pulse wave amplitude is greater than or equal to the second specified value, and the spectral intensity of the component in a specific frequency band is greater than or equal to the second threshold Q2.

[0100] The fact that both the average value of the acceleration pulse wave amplitude is above the second specified value and the spectral intensity of a component in a specific frequency band is above the second threshold Q2 suggests that the user of the detection device 10 is more likely to have developed sepsis than when either of these conditions is met. For this reason, the second emergency mode is positioned as an operating mode for situations that are more urgent than the first emergency mode.

[0101] In the second emergency mode, the standby time is shorter compared to the first emergency mode. Specifically, in the example above, there was only one type of standby time W2 in the emergency mode, but the standby time in the first emergency mode and the standby time in the second emergency mode are set individually. The standby time in the first emergency mode is, for example, 30 minutes. The standby time in the second emergency mode is, for example, 5 minutes. These example times are merely examples and are not limited to these; other times may be set.

[0102] Furthermore, the content of the emergency notification process may be designed to distinguish between the first emergency mode and the second emergency mode. Specifically, the first emergency notification process may be applied to inform the user when the system enters the first emergency mode, and the second emergency notification process may be applied to inform the user when the system enters the second emergency mode.

[0103] Thus, the emergency mode includes multiple modes, each with a different standby time, and the determination unit may communicate with the detection device 10 to select a mode with a shorter standby time compared to the case where either the first or second condition is met, if both the first and second conditions are met.

[0104] Figure 12 is a flowchart showing the processing flow of the data processing device 20 when the first emergency mode and the second emergency mode are distinguished. In the explanation referring to Figure 12, the same content as in the explanation referring to Figures 8 to 11 will be omitted using the same step numbers.

[0105] When a first emergency mode and a second emergency mode are distinguished, if it is determined that the average value of the acceleration pulse wave amplitude is equal to or greater than the second specified value (step S8; Yes), and the operating mode is the steady mode (step S60; Yes), the first emergency notification process is performed to the management device 30 (step S61). The operating mode management unit 26 also sets the operating mode of the detection device 10 and the operating mode of the data processing device 20 to the first emergency mode (step S62). If, in the process of step S60, the operating mode is not the steady mode (step S60; No), the process proceeds to step S5.

[0106] If it is determined that the spectral intensity of a component in a specific frequency band is equal to or greater than the second threshold Q2 (step S14; Yes), the operating mode management unit 26 determines whether the average value of the acceleration pulse wave amplitude obtained in step S27 is equal to or greater than the second specified value (step S63). If it is determined that the average value of the acceleration pulse wave amplitude is not equal to or greater than the second specified value (step S63; No), the process proceeds to step S60.

[0107] On the other hand, if the process in step S63 determines that the average value of the acceleration pulse wave amplitude is equal to or greater than the second specified value (step S63; Yes), and the operating mode is not the second emergency mode (step S64; No), the second emergency notification process is performed to the management device 30 (step S65). The operating mode management unit 26 also sets the operating mode of the detection device 10 and the operating mode of the data processing device 20 to the second emergency mode (step S66). Furthermore, if the process in step S64 determines that the operating mode is the second emergency mode (step S64; Yes), the process proceeds to step S5.

[0108] Except for the points specifically noted above, the processing flow of the data processing device 20 when the first emergency mode and the second emergency mode are distinguished is the same as the processing flow shown in Figures 8 to 11.

[0109] Next, examples of the configurations of the detection device 10, data processing device 20, and management device 30, which were described with reference to Figure 1, will be explained with reference to Figures 13 to 15.

[0110] Figure 13 shows an example of the configuration of the detection device 10. As shown in Figure 13, the detection device 10 is a ring-shaped device that is worn on, for example, a human finger Fg, and has a ring-shaped housing. A pulse wave sensor 11, an acceleration sensor 12, a data processing circuit 13, and a communication module 14 are built into the housing. The configuration of the detection device 10 is not limited to this, and any device that can detect pulse waves using the pulse wave sensor 11 and detect acceleration using the acceleration sensor 12 is acceptable.

[0111] Figure 14 shows an example of the configuration of the data processing device 20. The data processing device 20 comprises a communication module 21, a storage unit 24, and an arithmetic circuit 27. The arithmetic circuit 27 is an arithmetic circuit that functions as a CPU. The storage unit 24 stores a data processing program 243. The data processing program 243 is a software program that causes the arithmetic circuit 27 to function as a pulse wave data processing unit 22, a body movement data processing unit 23, a determination unit 25, and an operation mode management unit 26. The arithmetic circuit 27 reads and executes the data processing program 243 and functions as a pulse wave data processing unit 22, a body movement data processing unit 23, a determination unit 25, and an operation mode management unit 26. The storage unit 24 also has a storage area for storing the pulse wave data 241 and body movement data 242 mentioned above.

[0112] Figure 15 shows an example of the configuration of the management device 30. The management device 30 comprises a communication module 31, a storage unit 34, an arithmetic circuit 35, a display unit 36, and an input receiving unit 37. The storage unit 34 has a memory device and stores the management program 341. An example of a memory device in the storage unit 34 is, for example, flash memory, but it is not limited to these and other configurations that function similarly may be used. The management program 341 is a software program that causes the arithmetic circuit 35 to function as a notification unit 32 and a setting input unit 33. The arithmetic circuit 35 has a configuration that integrates multiple components such as a CPU, GPU (Graphics Processing Unit), and memory onto a single chip, for example, a mobile SoC (System on a Chip), and reads and executes the management program 341. The arithmetic circuit 35 reads and executes the management program 341 and functions as a notification unit 32 and a setting input unit 33. The display unit 36 ​​has a display device such as a liquid crystal display or an organic EL (Electroluminescence) display. The input receiving unit 37 is, for example, a touch panel integrated with the display unit 36.

[0113] The data processing device 20 shown in Figure 14 is an information processing device such as a PC (Personal Computer). The management device 30 shown in Figure 15 is a portable information processing device such as a smartphone. These are merely examples of specific forms of information processing devices, and other devices that function similarly may be used to replace them.

[0114] As described above, according to the embodiment, the detection system 1 comprises a detection device 10 worn by a person, a data processing device 20 that is provided to communicate with the detection device 10 and processes based on the output of a sensor 100 provided on the detection device 10, and a management device 30 that is provided to communicate with the data processing device 20 and provides notification according to the information received from the data processing device 20. The detection device 10 has a pulse wave sensor 11 that detects a person's pulse wave and an acceleration sensor 12 that detects the acceleration of a person's movement as sensors 100. The pulse wave sensor 11 and the acceleration sensor 12 alternately repeat a measurement state in which sensing is performed for a predetermined measurement time and a standby state in which such sensing is not performed. The detection device 10 transmits the sensing data obtained from the sensing to the data processing device 20. The data processing device 20 includes a pulse wave data processing unit 22 that calculates an acceleration pulse wave from a human pulse wave detected by a pulse wave sensor 11, a body motion data processing unit 23 that performs frequency analysis of the acceleration of human movement detected by an acceleration sensor 12, and a determination unit 25 that determines whether a person wearing the detection device 10 is suspected of developing sepsis. The determination unit 25 performs a notification process to send information to the management device 30 indicating that a person wearing the detection device 10 is suspected of developing sepsis if at least one of the first and second conditions is met. The first condition is that the spectral intensity of a specific frequency band among the frequency components of the acceleration of human movement obtained by detection by the acceleration sensor 12 during one measurement state is equal to or greater than a predetermined threshold (e.g., second threshold Q2). The second condition is that the average value of the acceleration pulse wave amplitude of the acceleration pulse wave calculated from the human pulse wave obtained by detection by the pulse wave sensor 11 during one measurement state is equal to or greater than a predetermined specified value (e.g., second specified value). This allows for more rapid detection of a suspected sepsis in a person wearing the detection device 10. Furthermore, the user of the control device 30 can be notified when a suspected sepsis is detected in a person wearing the detection device 10.

[0115] Furthermore, the acceleration pulse wave calculation unit 222 of the pulse wave data processing unit 22 calculates the acceleration pulse wave by performing a second derivative. The determination unit 25 determines the average value of the acceleration pulse wave amplitude of the acceleration pulse wave calculated from the pulse waves obtained during one measurement state. The specific frequency band in "the spectral intensity of a specific frequency band among the frequency components of the acceleration of human movement obtained by detection by the acceleration sensor 12 during one measurement state is above a predetermined threshold (for example, a second threshold Q2)" is, for example, 3 Hz to 5 Hz. This makes it possible to detect with higher accuracy whether a person wearing the detection device 10 is suspected of developing sepsis.

[0116] Furthermore, the detection device 10 is designed to be switchable between a steady mode, in which the standby time for each cycle is relatively long, and an emergency mode, in which the standby time for each cycle is relatively short. The detection device 10 operates in steady mode when operation begins. When the determination unit 25 receives a notification that a person wearing the detection device 10 is suspected of having developed sepsis, it communicates with the detection device 10 to switch it to emergency mode. This increases the frequency of acquiring sensing data after a person wearing the detection device 10 is suspected of having developed sepsis, making it easier to monitor the person's condition.

[0117] Furthermore, the emergency mode includes multiple modes, each with a different standby time. When both the first or second condition is met, the determination unit communicates with the detection device 10 to select a mode with a shorter standby time compared to when either the first or second condition is met. This allows for an increased frequency of sensing data acquisition when there is a stronger suspicion that the person wearing the detection device 10 has developed sepsis, thereby facilitating better monitoring of the person's condition.

[0118] Furthermore, the determination unit 25 determines that the acceleration sensor 12 has detected body movement noise from a person wearing the detection device 10 if the number of times the acceleration obtained by the acceleration sensor 12 during a single measurement state exceeds a predetermined acceleration threshold is a predetermined number of times or more, and the spectral intensity of a specific frequency band among the frequency components of the acceleration obtained during that single measurement state is less than a predetermined threshold (for example, a second threshold Q2). This makes it possible to distinguish between the characteristic movements of a person suspected of having sepsis and body movement noise.

[0119] Furthermore, if the determination unit 25 determines that the acceleration sensor 12 is detecting body movement noise from a person wearing the detection device 10, it communicates with the detection device 10 to shorten the time the acceleration sensor 12 is in standby mode. This shorter time is applied until the acceleration sensor 12 no longer determines that it is detecting body movement noise from a person wearing the detection device 10, based on the acceleration detected by the acceleration sensor 12. This allows for more accurate identification of characteristic movements of a person suspected of having sepsis from body movement noise.

[0120] In the above embodiment, the detection device 10 is equipped with a pulse wave sensor 11 and an acceleration sensor 12, but the pulse wave sensor 11 may be omitted. That is, in the detection system, processing based on the output of the pulse wave sensor 11 may be omitted. In this case, the detection system includes a detection device 10 worn by a person, which has an acceleration sensor 12 for detecting the acceleration of human movement; a data processing device 20 which is provided to communicate with the detection device 10 and processes based on the output of the sensor provided in the detection device 10; and a management device 30 which is provided to communicate with the data processing device 20 and provides notification according to the information received from the data processing device 20. The detection device 10 and the acceleration sensor 12 alternately repeat a measurement state in which sensing is performed for a predetermined measurement time and a standby state in which such sensing is not performed. The detection device 10 transmits the sensing data obtained from the sensing to the data processing device 20. The data processing device 20 includes a body motion data processing unit 23 that performs frequency analysis of the acceleration of human motion detected by the acceleration sensor 12, and a determination unit 25 that determines whether a person wearing the detection device 10 is suspected of having developed sepsis. If the conditions are met, the determination unit 25 performs a notification process to send information to the management device 30 indicating that a person wearing the detection device 10 is suspected of having developed sepsis. The conditions are that the spectral intensity of a specific frequency band among the frequency components of the acceleration of human motion obtained by detection by the acceleration sensor 12 during a single measurement state is above a predetermined threshold (for example, a second threshold Q2). This allows for faster detection of the possibility that a person wearing the detection device 10 has developed sepsis. Furthermore, the system can notify the user of the management device 30 that it has been detected that a person wearing the detection device 10 is suspected of having developed sepsis.

[0121] Furthermore, in the above-described embodiment, the pulse wave data processing unit 22 calculates the acceleration pulse wave and the determination unit 25 calculates the average value of the acceleration pulse wave amplitude. However, the process of calculating the average value of the acceleration pulse wave amplitude may be performed by the pulse wave data processing unit 22 instead of the determination unit 25.

[0122] Furthermore, in the above-described embodiment, the operating modes of both the detection device 10 and the data processing device 20 are configured to switch between a steady mode and an emergency mode. However, the operating mode may be switched only for the detection device 10. In this case, the data processing device 20 enters a standby state until it receives sensing data from the detection device 10, enters a measurement state after receiving the sensing data from the detection device 10, completes a determination by the determination unit 25 based on the sensing data, and performs an operation according to the result of the determination, and returns to the standby state after the completion of the operation.

[0123] Furthermore, the stage control of the emergency mode is not limited to the satisfaction of one or both of the first and second conditions described above. For example, if the measurement state in which at least one of the first and second conditions described above is continuously satisfied continues for a predetermined number of times or more, the emergency mode level may be increased and the waiting time W2 may be shortened in multiple stages. More specifically, if there are three levels of emergency mode, the first emergency mode may be set when at least one of the first and second conditions described above is satisfied once, the second emergency mode may be set when it is satisfied h times, and the third emergency mode may be set when it is satisfied j times. In this case, 1 < h < j.

[0124] Furthermore, any other effects and advantages brought about by the embodiments described herein that are obvious from this specification or that can be appropriately conceived by those skilled in the art are naturally provided by this disclosure.

[0125] 1 Detection system 10 Detection device 20 Data processing device 30 Management device 11 Pulse wave sensor 12 Acceleration sensor 14, 21, 31 Communication module 22 Pulse wave data processing unit 23 Body movement data processing unit 25 Judgment unit 32 Notification unit 222 Acceleration pulse wave calculation unit

Claims

1. A detection system comprising: a detection device worn by a person; a data processing device provided to communicate with the detection device and to perform processing based on the output of a sensor provided on the detection device; and a management device provided to communicate with the data processing device and to provide notification according to information received from the data processing device, wherein the detection device has, as the sensors, a pulse wave sensor for detecting a person's pulse wave and an acceleration sensor for detecting the acceleration of a person's movement, the pulse wave sensor and the acceleration sensor each alternately repeat a measurement state in which sensing is performed for a predetermined measurement time and a standby state in which sensing is not performed, the detection device transmits the sensing data obtained from the sensing to the data processing device, the data processing device has, a pulse wave data processing unit for calculating an acceleration pulse wave from the pulse wave, a body movement data processing unit for performing frequency analysis of the acceleration and a determination unit for determining whether the person wearing the detection device is suspected of having developed sepsis, The determination unit performs a notification process to transmit information to the management device indicating that a person wearing the detection device is suspected to have developed sepsis, if at least one of the first and second conditions is met, wherein the first condition is that the spectral intensity of a specific frequency band among the frequency components of the acceleration obtained during one measurement state is above a predetermined threshold, and the second condition is that the average value of the acceleration pulse wave amplitude of the acceleration pulse wave calculated from the pulse wave obtained during one measurement state is above a predetermined specified value, detection system.

2. The pulse wave data processing unit calculates the acceleration pulse wave by performing a second derivative on the pulse wave; the determination unit or the pulse wave data processing unit determines the average value of the acceleration pulse wave amplitude of the acceleration pulse wave calculated from the pulse wave obtained during one measurement state; and the specific frequency band is from 3 Hz to 5 Hz, the detection system according to claim 1.

3. A detection system comprising: a detection device worn by a person, having an acceleration sensor for detecting the acceleration of human movement; a data processing device provided to communicate with the detection device and to perform processing based on the output of the acceleration sensor; and a management device provided to communicate with the data processing device and to provide notification according to information received from the data processing device, wherein the acceleration sensor alternately repeats a measurement state in which sensing is performed for a predetermined measurement time and a standby state in which sensing is not performed; the detection device transmits the sensing data obtained from the sensing to the data processing device; the data processing device has a body movement data processing unit that performs frequency analysis of the acceleration and a determination unit that determines whether the person wearing the detection device is suspected of developing sepsis; the determination unit, if a condition is met, performs a notification process to transmit information to the management device indicating that the person wearing the detection device is suspected of developing sepsis, the condition being that the spectral intensity of a specific frequency band among the frequency components of the acceleration obtained during one measurement state is above a predetermined threshold.

4. The detection system according to claim 3, wherein the specific frequency band is 3 Hz to 5 Hz.

5. The detection system according to any one of claims 1 to 4, wherein the detection device is configured to be switchable between a steady mode in which the time of a single standby state is relatively long and an emergency mode in which the time of a single standby state is relatively short, the detection device operates in the steady mode at the start of operation, and the determination unit communicates with the detection device to switch the detection device to the emergency mode when the notification process is performed.

6. The detection system according to claim 1 or 2, wherein the detection device is configured to be switchable between a steady mode in which the standby time for one instance is relatively long and an emergency mode in which the standby time for one instance is relatively short, the detection device operates in the steady mode at the start of operation, the determination unit communicates with the detection device to switch it to the emergency mode when the notification process is performed, the emergency mode includes a plurality of modes, each with a different standby time, and the determination unit communicates with the detection device to switch it to a mode with a shorter standby time than when either the first or second condition is met, if both the first or second condition is met.

7. The detection system according to any one of claims 1 to 4, wherein the determination unit determines that the acceleration sensor is detecting body movement noise of a person wearing the detection device if the number of times the acceleration obtained during a single measurement state exceeds a predetermined acceleration threshold is a predetermined number of times or more, and the spectral intensity of a specific frequency band among the frequency components of the acceleration obtained during that single measurement state is less than the threshold.

8. The detection system according to claim 7, wherein, if the determination unit determines that the acceleration sensor has detected body movement noise of a person wearing the detection device, it communicates with the detection device to shorten the time the acceleration sensor is in the standby state, and the shortened time is applied based on the acceleration obtained during the measurement state until it is no longer determined that the acceleration sensor has detected body movement noise of a person wearing the detection device.

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