JP2020010881A - Detection apparatus, wearable sensing device, detection method, and program - Google Patents

Abstract

To provide an apparatus and a method for more sensitively detecting a change in the degree of contact of a sensor.SOLUTION: A detection apparatus includes: a determination unit that determines a tendency of a change in a data value, with respect to each of data of a plurality of biological signals measured by a sensor in contact with a living body; and a detection unit that detects a change in the degree of contact of the sensor with the living body, on the basis of a combination of the plurality of change tendencies.SELECTED DRAWING: Figure 12

Description

  The present disclosure relates to a sensing device that contacts a living body and acquires biological information.

  2. Description of the Related Art Technology for analyzing a physical and mental state such as a stress level of a subject from biological information acquired by a sensing device worn on the body of the subject has been developed.

  The sensing device of the type worn on the body is also called a wearable sensing device or a wearable sensor. The wearable sensing device acquires biological information by a sensor that has come into contact with the surface of the body of the subject. Examples of biological information that can be acquired by the wearable sensing device include, for example, a pulse wave, body temperature, skin potential, and the like.

  When the degree of contact of the sensor (in other words, for example, the strength of the force between the sensor and the skin or the distance between the sensor and the skin) changes, the strength or stability of the biological signal generated by the sensor by the measurement is changed. Sex can be affected. Therefore, for more stable and accurate acquisition of biological information, it is desirable that the degree of contact of the sensor does not change during measurement.

  There are several techniques for determining the wearing state of the wearable sensing device in relation to the degree of sensor contact.

  Patent Literature 1 is a document describing an invention of a contact state estimation method for determining a contact state between a biological signal measuring device and a living body. In this contact state estimation method, a contact failure, that is, a problem in the degree of contact is detected based on a temporal change of a certain biological signal.

  Patent Literatures 2 and 3 describe inventions relating to a technique of attaching a device including a sensor to a human body and performing authentication using data acquired by the sensor. Patent Literature 2 states that the contact sensor removes the authentication unit from the person to be authenticated (that is, the person who is authenticated) when the detection of the value data by the sensor that acquires the biological information is interrupted for a predetermined time or more. There is disclosure of the idea of determining. Patent Literature 3 discloses the idea that the attachment / detachment detection process may determine whether or not the sensor is worn on a human body based on the similarity between sample data and acquired detection data.

WO 2015/056434 Japanese Patent No. 5330770 JP-A-2006-071598

  Each of the techniques disclosed in the above-mentioned patent documents is a technique of determining detachment of a sensor from a body based on a value of a data of one biological signal or a change in the value. With such a technique, it is difficult to detect a state in which the biological signal data has been acquired but the degree of contact of the sensor is incomplete. The reason is that even if the data of the biological signal fluctuates due to the imperfect degree of contact of the sensor, it is possible to distinguish the fluctuation from the fluctuation due to the change in the physical and mental state of the subject. Because it is difficult. That is, when determining an abnormality in the degree of contact of the sensor based on a change in data of one biological signal, the abnormality is not easily detected unless the change is extremely abnormal.

  An object of the present invention is to provide an apparatus and a method capable of detecting a change in the degree of contact of a sensor with higher sensitivity.

  A detection device according to an aspect of the present invention includes a determination unit that determines a tendency of a change in a data value of a biological signal for each of a plurality of biological signals measured by a sensor that has contacted a living body, Detecting means for detecting a change in the degree of contact of the sensor with the living body based on a combination of the trends.

  The detection method according to one aspect of the present invention determines, for each of a plurality of biological signals measured by a sensor in contact with a living body, a tendency of a change in a data value of the biological signal, and a combination of a plurality of the trends of the change. And that the degree of contact of the sensor with the living body has changed.

  A program according to an aspect of the present invention includes a determination process for determining a tendency of a change in a data value of a biological signal for each of a plurality of biological signals measured by a sensor that has contacted a living body; And a detection process for detecting a change in the degree of contact of the sensor with the living body based on the combination of the above.

  According to the present invention, a change in the degree of contact of the sensor can be detected with higher sensitivity.

FIG. 1A is a front view of the biological information acquiring device according to the first embodiment of the present invention, and FIG. 1B is a rear view of the biological information acquiring device according to the first embodiment. . FIG. 2 is a block diagram illustrating a functional configuration of the biological information acquisition device according to the first embodiment. 5 is a table showing knowledge about a change tendency of biometric data that can be obtained by the biometric information obtaining device according to the first embodiment. It is an example of the flowchart which judges the degree of wearing based on the tendency of the change of biometric data. 5 is a flowchart illustrating a flow of a process performed by the biological information acquisition device according to the first embodiment. FIG. 3 is a diagram conceptually illustrating an example of biometric data to which a label is added. It is a table | surface which shows the knowledge regarding the tendency of the change of the biometric data which a clothing type biometric information acquisition device can acquire. It is a block diagram showing the functional composition of the living body information acquisition system concerning a 2nd embodiment. It is a block diagram showing the functional composition of the living body information acquisition device concerning a 3rd embodiment. It is a figure which represents notionally another example of the biometric data to which the label was provided. FIG. 5 is a diagram conceptually illustrating an example of corrected biometric data. It is a block diagram showing composition of a detecting device concerning one embodiment of the present invention. 5 is a flowchart illustrating a flow of processing of a detection method according to an embodiment of the present invention. It is a block diagram showing an example of hardware which constitutes each part of each embodiment of the present invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

<< First Embodiment >>
First, a first embodiment of the present invention will be described.

<Structure>
FIGS. 1A and 1B are outline views of the appearance of the biological information acquisition device 1 according to the first embodiment. FIG. 1A is a front view, and FIG. 1B is a rear view. The biological information acquisition device 1 of the present embodiment takes a form that can be fixed to a human forearm by a band unit 17.

  One or more sensors 10 are arranged on the outer surface of the biological information acquisition device 1. The sensor 10 is arranged at a position such that it contacts the forearm when the biological information acquisition device 1 is fixed to (ie, worn on) the forearm of a person (ie, the subject). The manner in which the biological information acquisition device 1 is fixed, and the specific position where the sensor contacts, are design matters.

  One or more sensors 10 measure vital signs (pulse, fever, perspiration, etc.) of the subject and thereby generate a biological signal.

  The biological information acquisition device 1 further includes a display unit 12 and a sound output unit 13.

  The display unit 12 is arranged at a position where the subject wearing the biological information acquiring device 1 can visually recognize the subject while wearing the biological information acquiring device 1.

  The audio output unit 13 is a device that outputs audio.

  The content of the output by the display unit 12 and the audio output unit 13 and the timing of the operation are controlled by the arithmetic unit 11. The calculation unit 11 is a device that performs information processing. The calculation unit 11 is mounted inside a housing 18 of the biological information acquisition device 1.

  The biometric information acquisition device 1 may have various configurations such as a power button, an input interface, and a communication interface.

  FIG. 2 is a block diagram showing a functional configuration of the biological information acquisition device 1. The lines connecting the components shown in FIG. 2 are exemplary lines for facilitating understanding of the data flow. It is not required that each component be connected by a signal line similar to the line shown in FIG. In FIG. 2, components that are not directly connected by a line may be connected to each other by a signal line.

  In the following description, the sensor 10 is specifically illustrated as a first sensor 10A, a second sensor 10B, and a third sensor 10C. The first sensor 10A, the second sensor 10B, and the third sensor 10C are collectively referred to as a sensor 10.

  The first sensor 10A measures the temperature of the skin (that is, the skin temperature).

  The second sensor 10B measures a pulse wave. Specifically, the second sensor 10B is a sensor that measures a physical quantity (for example, the amount of light transmitted through a living body and observed on the skin surface) that changes with a pulse wave (that is, a change in blood flow in a blood vessel). Can be

  The third sensor 10C measures a physical quantity that changes on the skin surface due to sweating. Physical quantities that change due to perspiration include skin potential (SPA), skin conductance (SCC), and other electrodermal activity (EDA). As an example, the third sensor 10C may be a sensor that measures SCC.

  The first sensor 10A, the second sensor 10B, and the third sensor 10C may be configured by separate members, respectively, or may be partially configured by a common member.

  As illustrated in FIG. 2, the calculation unit 11 includes a data acquisition unit 110, a first determination unit 111, a second determination unit 112, an output control unit 113, and a storage unit 119.

  Hereinafter, each function of the components in the arithmetic unit 11 will be described. As will be described later, each component in the operation unit 11 can be realized by, for example, a computer including one or more processors that execute instructions based on a program and a memory.

=== Data Acquisition Unit 110 ===
The data acquisition unit 110 acquires data that can be used for estimating the state of a living body (hereinafter, also referred to as “biological data”).

  The data acquisition unit 110 may receive a biological signal generated by the sensor 10 from the sensor 10 and acquire a time series of data values of the biological signal as biological data.

  For example, the data acquisition unit 110 may sequentially receive values indicating the skin temperature from the first sensor 10A, and obtain a time series of the values as biological data indicating the skin temperature. Further, for example, the data acquisition unit 110 may sequentially receive a value indicating SCC from the third sensor 10C, and obtain a time series of the value as biometric data indicating EDA or the amount of sweating.

  The data acquisition unit 110 may acquire the biological data by performing a predetermined process on the data of the biological signal from the sensor 10.

  For example, the data acquisition unit 110 sequentially receives, from the second sensor 10B, data values of a signal that changes due to a pulse wave, specifies peaks (called “R waves”) detected in a time series of the data values, The time series of the peak height may be acquired as biological data indicating the amplitude of the pulse wave.

  Further, the information on the heartbeat interval can be obtained from the time-series data indicating the pulse wave generated by the second sensor 10B. Specifically, the time between two adjacent peaks detected in the time-series data is a heartbeat interval (also referred to as an “RR interval”). The data acquisition unit 110 may calculate a heartbeat interval based on the data received from the second sensor 10B, and obtain a time series of the heartbeat interval as one of the biological data.

  The data acquisition unit 110 further includes time-series data of an HF (High Frequency) component, time-series data of an LF (Low Frequency) component, and / or LF / HF (that is, the magnitude of the LF component with respect to the magnitude of the HF component). May be acquired as biological data.

=== First Determination Unit 111 ===
The first determination unit 111 determines a change tendency of the biometric data obtained by the data obtaining unit 110. In the present disclosure, the tendency of the change of the biometric data refers to a feature that is observed as to how the biometric data changes in a target time range.

  In the present embodiment, it is assumed that all of the biometric data acquired by the data acquisition unit 110 is a time series of quantitative values. In the following description, it is assumed that the tendency of the change in the biometric data is indicated by, for example, three types of labels, “uptrend”, “downtrend”, and “no change”. An example of an embodiment in which the type of information indicating the tendency of change is different from the above will be described later.

  The first determination unit 111 sets, for example, a trend of a change in the biometric data from data acquired in the latest 10 seconds (hereinafter, referred to as “most recent data”) of the biometric data with the latest 10 seconds as a target time range. Can be determined. For example, a value obtained by subtracting the earliest data value from the last data value among the data values included in the latest data (hereinafter referred to as “first difference”) exceeds a first threshold value (positive value). If there is, the first determination unit 111 may determine that the tendency of the change is a “rising tendency”. Conversely, when the first difference is smaller than the second threshold (negative value), the first determination unit 111 may determine that the tendency of the change is a “downtrend”. Note that the first threshold value and the second threshold value may be values determined by design or may be updated as appropriate. For example, the first threshold value and the second threshold value may be set based on values of biometric data acquired immediately after the subject wears the biometric information acquisition device 1. Further, for example, the first threshold value and the second threshold value may be updated based on the data value of the latest data after the first determination unit 111 determines the tendency of the change.

  The first determination unit 111 determines the tendency of the change based on a comparison between representative values (average value, mode value, median value, maximum value, minimum value, etc.) of the latest data and prepared reference values. Is also good. The reference value is, for example, a representative value of data acquired in N seconds (N is an arbitrary number) before the time when the most recent data was acquired, or a value immediately after the biological information acquisition device 1 is attached to the subject. A representative value of data acquired in N seconds may be employed. For example, the first determination unit 111 determines that a value obtained by subtracting the reference value from the average value of the data values included in the reference data (hereinafter referred to as “second difference”) is a third threshold value (positive value). If it exceeds, the tendency of the change may be determined to be “uptrend”. Conversely, when the second difference is smaller than the fourth threshold value (negative value), the first determination unit 111 may determine that the tendency of the change is “downward tendency”. Note that the reference value, the third threshold value, and the fourth threshold value may be values determined by design or may be updated as appropriate. For example, the reference value, the third threshold value, and the fourth threshold value may be set based on values of biometric data acquired immediately after the subject wears the biometric information acquisition device 1. Further, for example, the reference value, the third threshold value, and the fourth threshold value may be updated based on the data value of the latest data after the first determination unit 111 determines the tendency of the change.

  The first determination unit 111 may determine that there is “no change” when the tendency of the change is neither “uptrend” nor “downtrend”.

  The specific algorithm for determining the tendency of change is not limited to the above example. The first determination unit 111 may determine the tendency of the change by combining a plurality of algorithms.

=== Second determination unit 112 ===
The second determination unit 112 determines the degree of wearing (in other words, the level of the wearing state) based on the change tendency of each of the plurality of biological signals determined by the first determining unit 111.

  In the present disclosure, the degree of attachment is an index indicating how appropriately the biological information acquisition device 1 is attached. The degree of wearing may be read as “the degree of contact”.

  The degree of attachment is indicated, for example, by three labels of “adequate”, “incomplete”, and “bad”. However, the types of information indicating the degree of mounting are not limited to the above three types. Examples other than the above will be described later.

  When the degree of attachment is “appropriate”, the degree of contact is when the wearing state of the biological information acquiring device 1 is a standard state (ie, the state where the biological information acquiring device 1 is appropriately worn). Means the same degree of contact. In other words, “appropriate” means that the wearing state is a wearing state in which a biological signal can be stably acquired. The “bad” state means that the wearing state is a wearing state that is not an “appropriate” state, although a biological signal has been acquired to an extent that can be analyzed. The “defective” state means that the wearing state is a wearing state in which a biological signal has not been acquired to the extent that it can be analyzed.

  Note that the above “analysis” refers to estimating the state of mind and body of the subject using the biological signal, or deriving information for estimating the state of mind and body. The definition of the “analyzable degree” and the method of detecting a mounting state in which the mounting degree is “bad” are design matters. For example, when a value that is difficult to consider as a value of data obtained from a living body is acquired, such as when a value of 40 bpm or less is acquired as a value indicating a heart rate, the second determination unit 112 determines that the data can be analyzed. It may be determined that it has not been acquired, that is, it is in a “bad” state.

  The state in which the degree of attachment is “incomplete” is, so to speak, a state that is not “bad” but is not “suitable”. Hereinafter, a method in which the second determination unit 112 determines that the degree of mounting is “incomplete” for a state that is not “bad” will be described.

  In short, the second determination unit 112 determines that the degree of attachment is “incomplete” when the combination of the plurality of changes in the biometric data is a combination that is not observed in the state of being properly attached. Yes "is determined. An example of specific criteria will be described below.

  FIG. 3 shows when the subject's sympathetic nerve is enhanced (when the sympathetic nerve is enhanced), when the parasympathetic nerve is enhanced (when the parasympathetic nerve is enhanced), and when the wearing state is deteriorated in the direction in which the contact of the sensor is weakened. 5 is a table showing, in each case, knowledge of a tendency of a change in each biometric data that can be acquired by the sensor 10.

  According to the table of FIG. 3, for example, the data value indicating the skin temperature tends to decrease when the sympathetic nerve is increased, increase when the parasympathetic nerve is enhanced, and decrease when the contact of the sensor is weakened. There is. The reason why the data value decreases when the contact of the sensor is weakened is, for example, that the heat around the sensor is easily dissipated to the outside air, and the data value is affected by the outside air because there is a part that is not in contact with the skin. It is conceivable to receive The data value indicating EDA tends to increase when the sympathetic nerve is enhanced, decrease when the parasympathetic nerve is enhanced, and decrease when the contact of the sensor is weakened. The reason why the data value decreases when the contact of the sensor becomes weaker is, for example, that the contact between the sensor and the skin becomes unstable and the conductivity is estimated to be small.

  From a medical point of view, biological signals such as skin temperature and EDA fluctuate as one of the sympathetic or parasympathetic nerves increases. Therefore, when the values of a plurality of biometric data fluctuate, whether the tendency of the change of each value is all the same as the tendency at the time of sympathetic nerve enhancement, or whether all of them match the tendency at the time of parasympathetic nerve enhancement. It should be. Based on this viewpoint, the tendency of a change in the value of one of a plurality of biometric data indicates a tendency at the time of sympathetic nerve enhancement, while the tendency of a change in the value of another data indicates a tendency at the time of parasympathetic nerve enhancement. This phenomenon is unlikely to occur. For example, a phenomenon in which the skin temperature shows a “falling trend” while the EDA shows a “falling trend” at the same time is unlikely to occur in a situation where the biological signal is being measured stably. That is, when the phenomenon described above occurs, it is highly likely that the biological signal has not been measured stably, that is, the degree of wearing has changed or is not appropriate.

  In addition, not only a state where contact is weak but also a state where contact is too strong can be said to be a state where the degree of attachment is “incomplete”. The tendency of the change of the acquired biometric data when the wearing state changes in the direction in which the degree of contact increases becomes the reverse of the tendency shown in the rightmost column of the table in FIG.

  The method of determination by the second determination unit 112 may be configured based on the above concept. As a specific example, the second determination unit 112 sets a combination of a plurality of biometric data, the combination of the change tendency, the change tendency indicating the tendency at the time of sympathetic nerve enhancement, the change tendency indicating the tendency at the time of parasympathetic nerve enhancement, May be determined to be "incomplete". That is, the second determination unit 112 indicates that, among the plurality of pieces of biometric data, a tendency of a change in some biometric data indicates a tendency at the time of sympathetic nerve enhancement, and a tendency of a change in another part of biometric data indicates When the tendency at the time of parasympathetic hyperactivity is shown, the degree of wearing may be determined to be “incomplete”.

  As another example, the second determination unit 112 determines whether all of the trends in the plurality of biometric data indicate a tendency when the parasympathetic nerve is enhanced, whether or not all indicate the tendency when the sympathetic nerve is enhanced, or all “no change”. If none of them is present, it may be determined that the degree of attachment is “incomplete”.

  The above determination method can be freely changed without departing from the scope of the technical idea described above. Two types or three or more types of biometric data may be used in the determination.

  FIG. 4 is a flowchart illustrating an example of the flow of the determination by the second determination unit 112. As an example, as illustrated in FIG. 4, when the skin temperature is “increase tendency” and the EDA is “decrease tendency”, the second determination unit 112 determines that the skin temperature is “decrease tendency” and the EDA is “increase tendency”. In this case, or when the skin temperature is “no change”, the EDA is “no change”, and the pulse wave amplitude is “no change”, the degree of wearing may be determined to be “appropriate”. In cases other than the above, the second determination unit 112 may determine that the degree of attachment is “incomplete”.

=== Output control unit 113 ===
The output control unit 113 controls output by the display unit 12 and the audio output unit 13. Specifically, the output control unit 113 controls the content of the output and the timing of the operation.

  For example, when the second determination unit 112 determines that the degree of mounting is “incomplete”, the output control unit 113 displays an image indicating that the degree of mounting is incomplete in the mounting state on the display unit 12. The sound output unit 13 is caused to display and output a sound indicating that the wearing state is incomplete. The image may be an image of a sentence, or may be an icon sufficient to make a person who sees the display recognize the abnormality of the wearing state. The sound may be a beep sound or a voice that reads a sentence.

=== Storage Unit 119 ===
The storage unit 119 stores data handled by the biological information acquisition device 1. The storage unit 210 can be realized by, for example, a random access memory (RAM), a read only memory (ROM), a hard disk, or a portable storage device. Other components included in the biometric information acquisition device 1 can freely read and write data from and to the storage unit 119.

<Operation>
Hereinafter, the flow of processing by the biological information acquisition device 1 will be described with reference to the flowchart of FIG. In addition, when each process is performed by the processor which executes a program, what is necessary is just to perform each process according to the order of the instruction in a program. When each process is executed by a separate device, the device that has completed the process may notify the device that executes the next process, and the processes may be executed in order. In addition, each unit that performs the process receives data necessary for the respective process from, for example, a unit that has generated the data and / or reads out data from a storage area (such as the storage unit 119) included in the biological information acquisition device 1. Good.

  It is assumed that the sensor 10 constantly measures a living body and continuously generates a measured value (i.e., a biological signal).

  The data acquisition unit 110 acquires biometric data from a biosignal at a predetermined opportunity (step S11). The predetermined trigger is, for example, that a set time has elapsed since the measurement by the sensor 10 was started, or that the process of step S11 was last performed, or that the sensor 10 Generated, etc. may be adopted. As described above, the data acquisition unit 110 acquires the biological data through receiving the measurement value generated by the sensor 10 from the sensor 10.

  Next, the first determination unit 111 determines, for each piece of the biological data, a tendency of a change in the biological data (step S12).

  Next, the second determination unit 112 determines the degree of wearing based on the combination of the tendency of the change of the biometric data (step S13).

  Then, the output control unit 113 controls the output by the display unit 12 and the audio output unit 13 based on the result of the determination of the degree of attachment (step S14). Thereby, the display unit 12 and the audio output unit 13 can output information based on the result of the determination of the degree of wearing (Step S15).

  For example, when the degree of wearing is “appropriate”, the output control unit 113 may cause the display unit 12 to display an icon indicating that the degree of wearing is “appropriate”. Alternatively, the output control unit 113 may not display anything on the display unit 12. If the degree of attachment is “incomplete”, the output control unit 113 causes the display unit 12 to display an icon indicating that the degree of attachment is “incomplete”, and outputs an intermittent beep sound to the audio output unit. 13 may be output. The display of the icon and the output of the beep sound may be continuously performed until the degree of wearing is determined to be “appropriate” next time.

  When the biological information acquisition device 1 continues the measurement, that is, the series of processing from step S11 to step S15 (YES in step S16), the arithmetic unit 11 performs the processing from step S11 again at a predetermined opportunity. If the biological information acquisition device 1 does not continue the measurement (NO in step S16), the process ends. The biological information acquiring device 1 may determine that the measurement is to be continued as long as the power of the biological information acquiring device 1 is ON, for example. However, the biological information acquisition device 1 may determine that the measurement is not to be continued when the instruction to stop acquiring the biological signal is received from the input by the subject.

<Effect>
According to the biological information acquisition device 1 according to the first embodiment, it is possible to detect a wearing state in which the degree of wearing is “incomplete”. The reason is that the calculation unit 11 uses a plurality of pieces of biometric data to determine a combination of changes in biometric data that is not observed in a properly mounted state, and the degree of mounting is “incomplete”. This is because it is detected as the cause.

  In the first embodiment, when it is detected that the degree of wearing is “incomplete”, the display unit 12 and the audio output unit 13 notify the subject that the degree of wearing is incomplete. I do. Thus, the subject is encouraged to appropriately re-attach the biological information acquisition device 1, and thereafter, the biological signal can be stably measured.

[Additional function examples / modification examples]
(1)
When outputting information indicating that the degree of attachment is “incomplete”, the biological information acquisition device 1 determines whether the degree of contact is insufficient or the degree of contact is too strong. May be indicated. For example, when the degree of wearing is determined to be “incomplete” and the tendency of the skin temperature change is “rising tendency”, the output control unit 113 indicates that the degree of contact is too strong. May be output to the display unit 12 and the audio output unit 13.

(2)
The algorithm of the processing in step S11, step S12, and step S13 may be different depending on whether the degree of mounting is “appropriate” or not.

  For example, in a state where the degree of attachment is not “appropriate”, the calculation unit 11 may perform a series of processing cycles from step S11 to step S13 at smaller intervals. With such a configuration, it is possible to quickly determine that the degree of mounting has become “appropriate” when the subject corrects the mounting.

(3)
The calculation unit 11 may record the obtained biological data in the storage unit 119. The calculation unit 11 may add a label indicating the degree of attachment to the biometric data for each determination. According to such a configuration, it is possible to obtain a record of biometric data to which a label indicating a degree of wearing is attached.

  FIG. 6 is a diagram conceptually illustrating an example of biometric data to which a label indicating a degree of wearing is attached. From such data, it is possible to know what each data value of the biometric data is at the time of the degree of wearing.

  In addition to the above configuration, the biometric information acquisition device 1 may include an analysis unit that analyzes recorded biometric data. The analysis unit may, for example, estimate the state of mind and body of the subject based on the recorded biological data. As a method of estimating the state of mind and body (for example, the magnitude or time change of stress or the degree of a disease symptom) based on the biological data, a known method may be adopted.

  In estimating the state of mind and body of the subject using the labeled biometric data, for example, the analysis unit is provided with a label indicating that the degree of wearing is “incomplete” or “defective”. The analysis may be performed by excluding the biometric data of the portion where the data has been set. That is, the analysis unit may use only the biological data in the time zone in which the degree of wearing is determined to be “appropriate” for the analysis. This makes it possible to more accurately estimate the state of mind and body of the subject.

(4)
There may be four or more types of the determination result of the tendency of the change of the biometric data.

As an example, the determination result of the tendency of the change of the biometric data may be in five stages of “strong upward trend”, “weak upward trend”, “no change”, “weak downward trend”, and “strong downward trend”. As such, the tendency of the change in the biometric data may be represented by a quantitative value. That is, the first determination unit 111 may quantitatively calculate information indicating the tendency of the change. Specifically, for example, the first determination unit 111 may calculate the difference between the reference value (described above) and the average value of the latest data (described above) as a numerical value that indicates the tendency of the change. In such a case, in the determination of the degree of wearing by the second determination unit 112, the second determination unit 112 makes a determination based on a numerical value.

(5)
There may be four or more types of attachment degree determination results.

  As an example, the determination result of the degree of wearing is “Tight”, “Rather tight”, “Appropriate”, “Slightly loose” (Rather loose), “Loose”, and “Poor”. There may be six stages of "Wrong".

As another example, the determination result of the degree of attachment may be a numerical value in units of “%”. For example, the first determination unit 111 may calculate a numerical value indicating the tendency of change quantitatively, and the second determination unit 112 may calculate a quantitative numerical value indicating the degree of wearing based on the calculated numerical value. . As a specific example, when numerical values indicating the tendency of the change in the values of the three pieces of biometric data are represented by x ₁ , x ₂ , and x ₃ , respectively, the second determination unit 112 calculates A quantitative numerical value indicating the degree of attachment may be calculated.
Degree of wearing (%) = 100 + σ × α × {| f (x ₁ ) −x ₂ | + | g (x ₁ ) −x ₃ |}
However, the function f _{(x 1),} the function _{x 2} is the return value normally taken resulting value should the relative values of _{x 1,} the function g _{(x 1),} it _{x 3} for the value of _{x 1} A function that normally takes a value to be taken as a return value, α is a coefficient set for adjusting the value, and σ is a variable that takes a value of “+1” or “−1”. “| X |” represents the absolute value of x. The functions f and g may be created empirically. σ takes a value of “−1” when it is estimated that the degree of wearing is weak, and takes a value of “+1” otherwise. For example, the value of σ is positive or negative x ₁ is the case that matches the positive or negative value which is considered to take when the degree of wearing weakened takes a value of "-1", otherwise " The value may be determined so as to take a value of “+1”.

  The display control unit 113 may cause the display unit 12 to always display the numerical value calculated last by the second determination unit 112 or an icon depending on the numerical value. Thereby, the subject can more specifically understand the state of the wearing.

(6)
Although the biological information acquisition device 1 of the present embodiment is a wristband-type wearable sensing device, the present invention is applicable to a wearable sensing device of a type other than the wristband type.

  Examples of the wearable sensing device include a glasses type, an earphone type, a clothes type, and the like. An eyeglass-type device may obtain biological information from the forehead of the subject or from around the eyes. Earphone-type devices may obtain biological information from inside and / or around the ear of the subject. The clothing-type device can acquire biological information from the chest of the subject.

  The manner of changing the biological data at the time of sympathetic hyperactivity and at the time of parasympathetic hyperactivity shown in FIG. 3 may differ depending on the body part to be measured. For example, the manner of variation shown in FIG. 3 is a manner of variation when a peripheral part such as a forearm or an ear is measured. On the other hand, for example, at a site where the eyeglass-type device acquires biological information, the tendency of changes in skin temperature, pulse wave amplitude, and EDA tends to increase when sympathetic nerves increase.

  Therefore, the algorithm of the determination by the second determination unit 112 may differ depending on the part measured by the wearable sensing device. For example, when an eyeglass-type device is used, the second determination unit 112 determines whether the combination of the changes in the skin temperature, the EDA, and the amplitude of the pulse wave is all “rising trend” or all “falling trend”. If all are “no change”, the degree of attachment may be determined to be “appropriate”. In other cases, the second determination unit 112 may determine that the degree of mounting is “incomplete”.

  Note that the clothing-type device can acquire biological data indicating a state of respiration of the subject. Specific examples of the biometric data indicating the state of respiration include minute ventilation, pause time, and the like. The minute ventilation is the ventilation per minute (the amount of gas entering and exiting the lungs). It is generally known that when the sympathetic nerve is enhanced, minute ventilation tends to increase. Pause time is the time during which you are not breathing. In general, it is known that when the sympathetic nerve is enhanced, the pause time tends to decrease.

  FIG. 7 is a table showing knowledge about the tendency of changes in biometric data that can be acquired by a clothing-type device. When a clothing-type device is used, the second determination unit 112 may be designed based on the knowledge shown in FIG.

<< Second Embodiment >>
Hereinafter, a second embodiment of the present invention will be described. However, description of the components denoted by the same reference numerals as the components already described in the present disclosure will be appropriately omitted.

  FIG. 8 is a block diagram illustrating a configuration of the biological information acquisition system 20 according to the second embodiment. The biological information acquiring system 20 includes the biological information acquiring device 2 and the server 7 connected to each other via the communication network 5.

  The biological information acquisition device 2 is a device worn on the body of the subject. The biological information acquisition device 2 includes a sensor 10, an output control unit 113, a display unit 12, a sound output unit 13, and a communication unit 14.

  The communication unit 14 is a unit that communicates with the server 7 via the communication network 5. The method of communication via the communication network 5 may be a wireless method, or a part or all of the method may be a wired method.

  The server 7 includes a data acquisition unit 110, a first determination unit 111, a second determination unit 112, a communication unit 74, and a storage unit 79.

  The communication unit 74 is a unit that communicates with the biological information acquisition device 2 via the communication network 5. The communication unit 74 may be capable of communicating with a plurality of biological information acquisition devices 2.

  The storage unit 79 stores data handled by the server 7. The storage unit 79 can be realized by, for example, a RAM, a ROM, a hard disk, a portable storage device, or the like.

  In the present embodiment, not the biological information acquisition device 2 but the server 7 determines the degree of attachment of the biological information acquisition device 2. The server 7 receives the biological signal generated by the sensor 10 from the biological information acquisition device 2 by the communication unit 74, and acquires the biological data by the data acquisition unit 110. Then, in the server 7, the first determination unit 111 determines the tendency of the change of each biometric data, and the second determination unit 112 determines the degree of attachment.

  The server 7 transmits the determination result of the degree of wearing to the biological information acquisition device 2 via the communication unit 74. In the biological information acquisition device, when the communication unit 14 receives the determination result, the output control unit 113 determines the content of the output by the display unit 12 and the audio output unit 13 based on the determination result, and controls the output. I do.

  According to the above configuration, it is possible to detect a mounting state in which the degree of mounting is “incomplete”, as in the first embodiment. Then, under the control of the output control unit 113, the display unit 12 and the audio output unit 13 notify the subject that the degree of attachment is incomplete, so that the subject It is urged to properly re-install 2.

<< Third Embodiment >>
Hereinafter, a third embodiment of the present invention will be described. However, description of the components denoted by the same reference numerals as the components already described in the present disclosure will be appropriately omitted.

  FIG. 9 is a block diagram illustrating a functional configuration of the biological information acquisition device 3 according to the third embodiment. The biological information acquisition device 3 includes a sensor 10 as in the biological information acquisition device 1. The biological information acquisition device 3 does not need to include the display unit 12 and the audio output unit 13. Further, the biometric information acquisition device 3 includes a calculation unit 31 instead of the calculation unit 11. The calculation unit 31 includes a data acquisition unit 110, a first determination unit 111, a second determination unit 112, a label assignment unit 314, an analysis unit 315, and a storage unit 119.

  The first determination unit 111 in the present embodiment calculates, as the information indicating the change tendency, a numerical value that quantitatively indicates the change tendency. In addition, the result of the determination of the degree of attachment by the second determination unit 112 in the present embodiment is “severe”, “slightly tight”, “appropriate”, “slightly loose”, “slowly”, “bad”. It is assumed that there are six types.

  The label assigning unit 314 assigns a label indicating the degree of attachment determined by the second determination unit 112 to the data in the time range in which the determination of the degree of attachment is targeted in the biometric data. “Attach” specifically refers to recording a label in a storage area (such as the storage unit 119) in a form associated with data.

  The biometric data with the label may be stored in the storage unit 119. FIG. 10 is a diagram conceptually illustrating biometric data to which a label has been added. In addition, it can be said that the label is provided to the data value or to the time range (in other words, the section).

  The analysis unit 315 analyzes the biometric data to which the label has been added. The analysis unit 315 may derive, for example, information for estimating the physical and mental state of the subject from the labeled biometric data. In addition, the analysis unit 315 may estimate the state of mind and body of the subject using, for example, biometric data to which a label is assigned.

  Hereinafter, some examples of a method in which the analysis unit 315 estimates the state of mind and body will be described. As an example, it is assumed that the analysis unit 315 calculates a stress evaluation value indicating the evaluation of the stress of the subject as a result of estimating the state of mind and body. The stress evaluation value may be represented by, for example, two types of labels, “with a problem” and “without a problem”.

  As a premise, for example, the analysis unit 315 calculates a stress evaluation value of a subject who has worn the biological information acquisition device 3 for 8 hours on a certain day, and a part or all of the biological data acquired in the 8 hours. Let it be calculated using.

(1)
The analysis unit 315 can calculate a stress evaluation value based on, for example, a time series of EDA.

  For example, the analysis unit 315 can extract only a section to which a label “appropriate” is added from the EDA time series. Then, the analysis unit 315 can determine the magnitude of the stress of the subject in each of the extracted sections using a look-up table indicating the relationship between the EDA and the magnitude of the stress. The magnitude of the stress may be represented by, for example, two types of labels “high” and “low”. Then, the analysis unit 315 calculates the stress evaluation value according to the ratio of the length (total time) of the period in which the magnitude of the stress is “high” to the length (total time) of the period in which the magnitude of the stress is “low”. May be calculated.

(2)
The analysis unit 315 can estimate a stress evaluation value based on, for example, a time series of LF / HF.

  For example, the analyzing unit 315 determines, for each section to which a label is assigned, the magnitude of the stress of the subject in the section based on LF / HF of the section. For example, the analysis unit 315 may determine the magnitude of the stress of the subject in each section using a look-up table indicating the relationship between LF / HF and the magnitude of the stress. Hereinafter, a value indicating the magnitude of stress determined for each section will be referred to as a determination value.

  Then, the analysis unit 315 calculates a stress evaluation value based on the determination value of each section and the label. The analysis unit 315 calculates a stress evaluation value by performing weighting according to the label on the determination value of each section and integrating the determination values of each section.

  As a specific example, the analysis unit 315 assigns “1” as a weight value to the average value of the section to which the label “Appropriate” is assigned, and assigns the label “Slightly hard” or “Slightly loose”. A weight value of “0.6” is assigned to the average value of the assigned section, and a weight value of “0.3” is assigned to the average value of the section labeled “tight” or “loose”. Then, “0” may be assigned as a weight value to the average value of the section to which the label “bad” is assigned. Then, the analysis unit 315 can calculate an average value of the multiplied values obtained by multiplying the determination value of each section by the weight value. Then, the analyzing unit 315 can calculate the stress evaluation value based on the average value by referring to a look-up table or the like.

  According to such a method, the determination value calculated for the time zone determined to be “appropriate” is more dominantly reflected in the finally calculated stress evaluation value. Therefore, it is considered that the stress evaluation value calculated by such a method has higher accuracy than the stress evaluation value calculated without performing weighting.

(3)
The analysis unit 315 can calculate a stress evaluation value based on, for example, a time series of skin temperature.

  For example, the analysis unit 315 may calculate a division value, which is a result of dividing the skin temperature data value by a numerical value (a value based on 1) indicating the degree of wearing given to the data value. Good. Then, the analysis unit 315 may generate a time series of the divided value.

  The time series of the divided values is, so to speak, a corrected time series. FIG. 10 is a diagram illustrating an example of a time series of biometric data before correction, and FIG. 11 is a diagram illustrating an example of a time series of the biometric data after correction. The broken line portion of the graph in FIG. 11 represents the graph before correction.

  The analysis unit 315 can calculate a stress evaluation value using the corrected time series.

  For example, the analysis unit 315 calculates an average value of each data value of the corrected time series, and uses a look-up table indicating a relationship between the skin temperature and the stress evaluation value, and calculates a stress evaluation value corresponding to the average value. May be extracted as the calculated stress evaluation value.

  Alternatively, for example, the analysis unit 315 may calculate the stress evaluation value by inputting the corrected time series to a learning model that inputs the time series and outputs the stress evaluation value.

  The method of estimating the state of mind and body described above is an example. The type of biological data to be analyzed and the specific algorithm may be variously changed.

  The analysis unit 315 may output a result of estimating the state of mind and body. For example, the analysis unit 315 may record the result in the storage unit 119. When the biometric information acquisition device 3 includes a communication unit, the analysis unit 315 may transmit the result to another information processing device via the communication unit.

[Additional function examples / modification examples]
The analysis unit 315 may derive various other information using the biometric data to which a label indicating the degree of wearing is attached.

  For example, the analysis unit 315 may analyze the relationship between the degree of wearing and the state of the subject.

  As a specific example, the analysis unit 315 can specify a posture or exercise state in which the degree of wearing is likely to be deteriorated by comparing the biometric data with the label and data on the posture or exercise state of the subject. . In addition, the data of the posture and the exercise state of the subject may be acquired by a configuration additionally provided in the biological information acquisition device 3 or may be acquired from another device.

  As another specific example, the analysis unit 315 can specify a degree of wearing that does not give stress to the subject by analyzing the relationship between the magnitude of the stress and the degree of wearing.

<Effect>
The biometric information acquisition device 3 of the present embodiment performs analysis using the biometric data, in particular, estimates the state of mind and body of the person to be measured with higher accuracy by adding a label indicating the degree of wearing to the biometric data. be able to.

  The technical ideas disclosed in the description of the above embodiment, additional examples of functions, and modifications may be freely combined. For example, in the biological information acquisition system 20 according to the second embodiment, the server 7 may include the analysis unit 315.

<< 4th Embodiment >>
Hereinafter, a detection device 100 according to an embodiment of the present invention will be described. FIG. 12 is a block diagram illustrating a configuration of the detection device 100.

  The detection device 100 includes a determination unit 101 and a detection unit 102.

  The determination unit 101 determines a tendency of a change in a data value of a biological signal for each of a plurality of biological signals measured by a sensor in contact with the living body. The living body does not have to be a human body. That is, an object to be measured by the sensor may be an organism other than a human.

  The specific mode for bringing the sensor into contact with the living body is not limited. The sensor may be included as a part of a device mounted on the living body, and may be brought into contact with the living body by mounting the device on the living body. Alternatively, the sensor may be attached to the living body with an adhesive member.

  Note that the determination unit 101 may determine the tendency of the change in the data value of the biological signal using the measured value of the biological signal directly obtained by the sensor, or may determine the tendency of the change in the data value of the biological signal derived from the measured value of the biological signal. Stabilization may be performed by using the following data (corresponding to “biological data” in the above embodiments). Determining the tendency of secondary data change is also included in determining the tendency of data value change of the biological signal.

  The first determination unit 111 in each of the above embodiments corresponds to an example of the determination unit 101.

  The detection unit 102 detects that the degree of contact of the sensor with the living body has changed based on a plurality of combinations of the tendency of data value change determined by the detection device 100.

  In each of the above embodiments, the second determination unit 112 corresponds to an example of the detection unit 102. Since the second determination unit 112 determines the degree of contact, if the degree of contact changes, it necessarily detects that the degree of contact has changed.

  The detection unit 102 may detect that the degree of contact has changed, for example, when the combination of the tendency of change does not match the combination of the trends that can occur when there is no change in the degree of contact. . For example, as the state of the subject changes from the first state to the second state, a first vital sign that shows a first tendency and a second vital sign that shows a second tendency Vital signs are known. The sensor measures the first vital sign and the second vital sign, and generates respective biological signals (referred to as first biological signal and second biological signal). The determination unit 101 acquires each of the biological signals (the first biological signal and the second biological signal) obtained from the biological signals. The determination unit 101 determines a tendency of a change in a data value of a biological signal for each of the first biological signal and the second biological signal. Then, when the data of the first biological signal indicates the first tendency and the data of the second biological signal indicates the opposite tendency to the second tendency, the detecting unit 102 changes the degree of wearing. May be detected. The detection unit 102 may detect that the degree of wearing has changed when the data of the first biological signal indicates the first tendency and the data of the second biological signal does not indicate the second tendency at the same time. Good.

  FIG. 13 is a flowchart illustrating a flow of a detection method performed by the detection device 100. First, the determination unit 101 determines a tendency of a change in a data value of a biological signal for each of a plurality of biological signals measured by a sensor in contact with the living body (step S101). Then, the detection unit 102 detects that the degree of contact of the sensor with the living body has changed based on a combination of a plurality of data value change trends (step S102).

  According to the detection device 100, a change in the degree of contact of the sensor can be detected with higher sensitivity. The reason is that the detection unit 102 detects that the degree of contact has changed based on a combination of a plurality of trends of change in data values, not only based on a change in one data value.

<Hardware configuration that realizes each unit of the embodiment>
In each of the embodiments of the present invention described above, blocks indicating each component of each device are shown in functional units. However, blocks indicating components do not necessarily mean that each component is configured by a separate module.

  The processing of each component may be realized by, for example, the computer system reading and executing a program stored in a computer-readable storage medium and causing the computer system to execute the processing. The “computer-readable storage medium” is, for example, a portable medium such as an optical disk, a magnetic disk, a magneto-optical disk, and a nonvolatile semiconductor memory, and a storage device such as a ROM and a hard disk incorporated in a computer system. "Computer-readable storage medium" includes those capable of temporarily storing a program, such as volatile memory in a computer system, and those that transmit a program, such as a communication line such as a network or a telephone line. Including. Further, the program may be for realizing a part of the functions described above, or may be for realizing the functions described above in combination with a program already stored in the computer system. .

The “computer system” is, for example, a system including a computer 900 as shown in FIG. The computer 900 includes the following configuration.
One or more CPUs (Central Processing Unit) 901
・ ROM902
・ RAM903
A program 904A and storage information 904B loaded into the RAM 903
Storage device 905 for storing program 904A and storage information 904B
A drive device 907 for reading and writing the storage medium 906
A communication interface 908 connected to the communication network 909
An input / output interface 910 for inputting / outputting data
A bus 911 for connecting each component

  For example, each component of each device in each embodiment is realized by the CPU 901 loading and executing the program 904A for realizing the function of the component into the RAM 903. The program 904A that realizes the function of each component of each device is stored in advance in, for example, the storage device 905 or the ROM 902. Then, the CPU 901 reads the program 904A as needed. The storage device 905 is, for example, a hard disk. The program 904A may be supplied to the CPU 901 via the communication network 909, or may be stored in the storage medium 906 in advance, read by the drive device 907, and supplied to the CPU 901. Note that the storage medium 906 is a portable medium such as an optical disk, a magnetic disk, a magneto-optical disk, and a nonvolatile semiconductor memory.

  There are various modifications of the method of realizing each device. For example, each device may be realized by a possible combination of a computer 900 and a program that are separate for each component. Also, a plurality of components included in each device may be realized by a possible combination of one computer 900 and a program.

  In addition, some or all of the components of each device may be realized by other general-purpose or dedicated circuits, computers, or a combination thereof. These may be configured by a single chip, or may be configured by a plurality of chips connected via a bus.

  When some or all of the components of each device are realized by a plurality of computers, circuits, and the like, the plurality of computers, circuits, and the like may be centrally arranged or may be distributed. For example, the computer, the circuit, and the like may be realized as a form in which each is connected via a communication network, such as a client and server system or a cloud computing system.

  Some or all of the above embodiments may be described as in the following supplementary notes, but are not limited thereto.

<< Appendix >>
[Appendix 1]
For each of a plurality of biological signals measured by a sensor that has come into contact with a living body, a determination unit that determines a tendency of a change in a data value of the biological signal,
Based on a combination of the plurality of change trends, a detection unit that detects that the degree of contact of the sensor with the living body has changed,
A detection device comprising:
[Appendix 2]
The detecting means detects that the degree of contact has changed when the combination of the tendency of change does not match the combination of the trends that can occur when it is assumed that the degree of contact does not change.
The detection device according to supplementary note 1.
[Appendix 3]
The detection means, the degree of the contact in the time zone of the detection target, based on the plurality of trends of the change in the time zone of the detection target, to determine,
The detection device,
The data of the time period of the detection target of the biological signal, provided with an applying unit that applies a label indicating the degree of the determined contact,
3. The detection device according to claim 1 or 2.
[Appendix 4]
The determining means calculates a numerical value quantitatively indicating the tendency of the change as information indicating the tendency of the change,
The detection means, based on the numerical value, calculates information quantitatively indicating the degree of the contact as a determination result of the degree of the contact,
The detection device according to attachment 3.
[Appendix 5]
The biological signal, data of a plurality of time zones to which each of the labels is assigned, after weighting based on the label, to derive an evaluation on the state of mind and body of the living body, comprising an evaluation unit,
The detection device according to attachment 3 or 4.
[Appendix 6]
Comprising correction means for correcting some or all of the data of the plurality of biological signals based on the label,
The detection device according to attachment 3 or 4.
[Appendix 7]
The determining means determines the tendency of the change in the time zone of the determination target by comparing a representative value of the data value and a reference value in the time zone of the determination target,
7. The detection device according to any one of supplementary notes 1 to 6.
[Appendix 8]
The determining means determines the tendency of the change for each of the data value indicating the amplitude of the pulse wave and the data value indicating the heart rate,
The detection means, when the data value indicating the amplitude of the pulse wave shows an upward trend or a downward trend, while the data value showing the heart rate shows neither the upward trend nor the downward trend, the degree of the contact has changed To detect,
8. The detection device according to any one of supplementary notes 1 to 7.
[Appendix 9]
The determination means determines the tendency of the change for each of the first data value indicating the amplitude of the pulse wave at the peripheral part of the living body and the second data value indicating the degree of sweating at the peripheral part of the living body,
The detection means detects that the degree of the contact has changed when both the first data value and the second data indicate an upward trend or both indicate a downward trend.
The detection device according to any one of supplementary notes 1 to 8.
[Appendix 10]
The detection device according to any one of supplementary notes 1 to 9,
Said sensor;
Notifying means for notifying that the degree of contact has changed, to a subject to be measured by the sensor,
Wearable sensing devices including.
[Appendix 11]
For each of the plurality of biological signals measured by the sensor in contact with the living body, determine the tendency of a change in the data value of the biological signal,
Based on a combination of the plurality of change trends, detecting that the degree of contact of the sensor with the living body has changed,
Detection method.
[Supplementary Note 12]
If the combination of the tendency of the change does not match the combination of the tendencies that can occur when assuming that the degree of contact does not change, it is detected that the degree of the contact has changed,
The detection method according to supplementary note 11.
[Appendix 13]
The degree of the contact in the time zone of the detection target is determined based on the plurality of trends in the change in the time zone of the detection target,
To the data of the time zone of the detection target of the biological signal, to give a label indicating the degree of the determined contact,
13. The detection method according to supplementary note 11 or 12.
[Appendix 14]
Calculating a numerical value quantitatively indicating the tendency of the change as information indicating the tendency of the change,
Based on the numerical values, calculate information quantitatively indicating the degree of the contact as a determination result of the degree of the contact,
The detection method according to supplementary note 13.
[Appendix 15]
The biological signal, the data of a plurality of time zones each of which the label is given, after weighting based on the label, to derive an evaluation regarding the state of mind and body of the living body,
13. The detection method according to supplementary note 13 or 14.
[Appendix 16]
Correct some or all of the data of the plurality of biological signals based on the label,
13. The detection method according to supplementary note 13 or 14.
[Appendix 17]
The tendency of the change in the time zone of the determination target is determined by comparing a representative value of the data value and a reference value in the time zone of the determination target,
The detection method according to any one of supplementary notes 11 to 16.
[Appendix 18]
Determine the tendency of the change for each of the data value indicating the amplitude of the pulse wave and the data value indicating the heart rate,
When the data value indicating the amplitude of the pulse wave indicates an upward trend or a downward trend, while the data value indicating the heart rate does not indicate an upward trend nor a downward trend, it is detected that the degree of the contact has changed.
18. The detection method according to any one of supplementary notes 11 to 17.
[Appendix 19]
Determining the tendency of the change for each of the first data value indicating the amplitude of the pulse wave of the peripheral part of the living body and the second data value indicating the degree of sweating of the peripheral part of the living body,
If the first data value and the second data both show an upward trend or both show a downward trend, it is detected that the degree of the contact has changed.
19. The detection method according to any one of supplementary notes 11 to 18.
[Appendix 20]
Notify the measured person that is the measurement target by the sensor that the degree of the contact has changed,
20. The detection method according to any one of supplementary notes 11 to 19.
[Appendix 21]
For each of a plurality of biological signals measured by a sensor that has come into contact with a living body, a determination process of determining a tendency of a change in a data value of the biological signal,
Based on a combination of a plurality of the trends of the change, a detection process of detecting that the degree of contact of the sensor with the living body has changed,
A program that causes a computer to execute.
[Supplementary Note 22]
The detection process, when the combination of the tendency of the change does not match the combination of the tendencies that can occur when it is assumed that there is no change in the degree of contact, detects that the degree of contact has changed,
The program according to supplementary note 21.
[Appendix 23]
The detection process, the degree of the contact in the time zone of the detection target, based on the plurality of trends in the change in the time zone of the detection target, to determine,
The program is
To the data of the time zone of the detection target of the biological signal, the computer further performs the providing process of providing a label indicating the determined degree of contact,
The program according to supplementary note 21 or 22.
[Appendix 24]
The determination process calculates a numerical value that quantitatively indicates the tendency of the change as information indicating the tendency of the change,
The detection processing, based on the numerical value, calculates information quantitatively indicating the degree of the contact as a determination result of the degree of the contact,
The program according to supplementary note 23.
[Appendix 25]
The biological signal, data of a plurality of time zones to which each of the labels is assigned, after weighting based on the label, to derive an evaluation on the state of mind and body of the living body, an evaluation process, further to the computer Run,
The program according to Supplementary Note 23 or 24.
[Supplementary Note 26]
Correction processing for correcting some or all of the data of the plurality of biological signals based on the label, further causing the computer to execute
The program according to Supplementary Note 23 or 24.
[Appendix 27]
The determination processing is to determine the tendency of the change in the time zone of the determination target by comparing a representative value of the data value and a reference value in the time zone of the determination target,
The program according to any one of supplementary notes 21 to 26.
[Appendix 28]
The determination processing determines the tendency of the change for each of the data value indicating the amplitude of the pulse wave and the data value indicating the heart rate,
In the detection process, while the data value indicating the amplitude of the pulse wave shows an upward trend or a downward trend, but the data value showing the heart rate does not show an upward trend or a downward trend, the degree of the contact has changed. To detect,
28. The program according to any one of supplementary notes 21 to 27.
[Appendix 29]
The determination processing is to determine the tendency of the change for each of the first data value indicating the amplitude of the pulse wave of the peripheral part of the living body and the second data value indicating the degree of sweating of the peripheral part of the living body,
The detection process, when the first data value and the second data both show an upward trend, or both show a downward trend, detects that the degree of the contact has changed,
The program according to any one of supplementary notes 21 to 28.
[Appendix 30]
Notifying that the degree of the contact has changed, the notifying process of notifying the subject to be measured by the sensor, further causes the computer to execute
30. The program according to any one of supplementary notes 21 to 29.

  The present invention is not limited to the embodiments described above. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the embodiment described above within the scope of the present invention.

1, 2, 3 biological information acquisition device 5 communication network 7 server 10 sensor 100 detection device 101 determination unit 102 detection unit 11, 31 calculation unit 110 data acquisition unit 111 first determination unit 112 second determination unit 113 output control unit 119, 79 storage unit 12 display unit 13 audio output unit 14, 74 communication unit 17 band unit 18 housing 20 biological information acquisition system 314 labeling unit 315 analysis unit 900 computer 901 CPU
902 ROM
903 RAM
904A program 904B storage information 905 storage device 906 storage medium 907 drive device 908 communication interface 909 communication network 910 input / output interface 911 bus

Claims (12)

For each of a plurality of biological signals measured by a sensor that has come into contact with a living body, a determination unit that determines a tendency of a change in a data value of the biological signal,
Based on a combination of the plurality of change trends, a detection unit that detects that the degree of contact of the sensor with the living body has changed,
A detection device comprising: The detecting means detects that the degree of contact has changed when the combination of the tendency of change does not match the combination of the trends that can occur when it is assumed that the degree of contact does not change.
The detection device according to claim 1. The detection means, the degree of the contact in the time zone of the detection target, based on the plurality of trends of the change in the time zone of the detection target, to determine,
The detection device,
The data of the time period of the detection target of the biological signal, provided with an applying unit that applies a label indicating the degree of the determined contact,
The detection device according to claim 1. The determining means calculates a numerical value quantitatively indicating the tendency of the change as information indicating the tendency of the change,
The detection means, based on the numerical value, calculates information quantitatively indicating the degree of the contact as a determination result of the degree of the contact,
The detection device according to claim 3. The biological signal, data of a plurality of time zones to which each of the labels is assigned, after weighting based on the label, to derive an evaluation on the state of mind and body of the living body, comprising an evaluation unit,
The detection device according to claim 3. Comprising correction means for correcting some or all of the data of the plurality of biological signals based on the label,
The detection device according to claim 3. The determining means determines the tendency of the change in the time zone of the determination target by comparing a representative value of the data value and a reference value in the time zone of the determination target,
The detection device according to claim 1. The determining means determines the tendency of the change for each of the data value indicating the amplitude of the pulse wave and the data value indicating the heart rate,
The detection means, when the data value indicating the amplitude of the pulse wave shows an upward trend or a downward trend, while the data value showing the heart rate shows neither the upward trend nor the downward trend, the degree of the contact has changed To detect,
The detection device according to claim 1. The determination means determines the tendency of the change for each of the first data value indicating the amplitude of the pulse wave at the peripheral part of the living body and the second data value indicating the degree of sweating at the peripheral part of the living body,
The detection means detects that the degree of the contact has changed when both the first data value and the second data indicate an upward trend or both indicate a downward trend.
The detection device according to claim 1. A detection device according to any one of claims 1 to 9,
Said sensor;
Notifying means for notifying that the degree of contact has changed, to a subject to be measured by the sensor,
Wearable sensing devices including. For each of the plurality of biological signals measured by the sensor in contact with the living body, determine the tendency of a change in the data value of the biological signal,
Based on a combination of the plurality of change trends, detecting that the degree of contact of the sensor with the living body has changed,
Detection method. For each of a plurality of biological signals measured by a sensor that has come into contact with a living body, a determination process of determining a tendency of a change in a data value of the biological signal,
Based on a combination of a plurality of the trends of the change, a detection process of detecting that the degree of contact of the sensor with the living body has changed,
A program that causes a computer to execute.

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