JP6773149B2 - Pulse wave analysis device and pulse wave analysis method - Google Patents

Description

The present invention relates to a pulse wave analyzer and a pulse wave analysis method .

Conventionally, a pulse rate monitor that is worn by a user and measures the pulse rate as biological information of the user is known. This pulse rate monitor has a pulse wave sensor that uses light or ultrasonic waves, and calculates the pulse rate based on the change in the blood flow of the user detected by the pulse wave sensor.
The pulse wave signal detected by such a pulse rate monitor is a signal in which the pulsation component signal and the body motion component signal of the user are superimposed. Therefore, when the user's body movement is intense, the ratio of the body movement component signal to the pulsation component signal becomes high, and the pulse rate may not be calculated appropriately.

On the other hand, in addition to the above pulse wave sensor, a pulse rate monitor including a body motion sensor that detects the body motion information of the user has been proposed (see, for example, Patent Document 1).
In the pulse rate monitor described in Patent Document 1, the exercise intensity of the user is calculated based on the body motion information detected by the body motion sensor (acceleration sensor), and the relationship between the exercise intensity and the pulse rate determined in advance is determined. Based on this, the pulse rate according to the calculated exercise intensity is estimated. Then, the pulse rate monitor presents the estimated pulse rate to the user when the pulse rate cannot be calculated correctly based on the detection result by the pulse wave sensor.

Japanese Unexamined Patent Publication No. 2012-232010

By the way, in addition to those who do not have exercise habits and those who have exercise habits, those who have high cardiopulmonary function, so-called athletic heart, can be users of the pulse rate monitor. The athletic heart refers to the heart itself, which is larger than normal and enlarged as a result of the body's adaptation to enhance athletic performance, and the cardiopulmonary function that is superior to having such a heart.
A characteristic of a person with this athletic heart is that the pulse rate during rest and exercise is low. This is because the muscles of the heart have developed, and as a result, more blood can be pumped out with one beat, and even a few beats can carry enough blood, and thus oxygen, to the whole body. It is due to that.
As a condition for determining a person having an athletic heart (hereinafter referred to as a determination condition), the cardiac output per beat is 150 ml or more, more preferably 200 ml or more, or rest. It is exemplified that the hourly pulse rate is 50 or less, more preferably 40 or less. These cardiac output and resting pulse rate can be extracted by analyzing pulse waves or electrocardiogram. In addition, the athletic heart can be rephrased as athletic ability or cardiopulmonary ability, and the above-mentioned determination condition can be, for example, a long-distance running time.

People with such an athletic heart differ from ordinary people in the changes in pulse rate associated with exercise. Therefore, the pulse rate monitor described in Patent Document 1 may not be able to appropriately calculate and measure the pulse rate of a user having an athletic heart.
From such a problem, a configuration capable of appropriately detecting the pulse rate even by a user having an athletic heart has been desired.

The present invention aims to solve at least a part of the above problems, and one of the objects of the present invention is to provide a pulse wave analysis device and a pulse wave analysis method capable of analyzing biological information according to a user. To do.

The biometric information analysis device according to the first aspect of the present invention is composed of a biometric information detection unit that detects the biometric information of the user, a user determination unit that determines the motor ability of the user, and the user determination unit. When it is determined that the exercise ability of the user satisfies a predetermined condition, the information setting unit that sets the analysis information according to the exercise ability of the user and the analysis information set by the information setting unit are used. It is characterized by including an analysis unit for analyzing the biological information.

According to the first aspect, when it is determined that the motor ability of the user of the biometric information analysis device satisfies a predetermined condition, the biometric information of the user is based on the analysis information according to the motor ability of the user. Is analyzed. According to this, since the analysis processing of the biological information according to the motor ability of the user can be executed, the biological information can be appropriately analyzed and measured for the user.

In the first aspect, the athletic ability is preferably an ability related to cardiopulmonary function.
Endurance can be exemplified as the ability related to cardiopulmonary function.
According to the first aspect, when it is determined that the ability of the user regarding the cardiopulmonary function satisfies the above-mentioned predetermined condition as the athletic ability, the biological information is analyzed based on the analysis information according to the ability. .. According to this, the analysis of the biological information related to the cardiopulmonary function of the user can be performed more appropriately. Therefore, biological information can be analyzed and measured more appropriately.

In the first aspect, it is preferable that the user determination unit determines the ability related to the cardiopulmonary function based on at least one of the resting pulse rate and the cardiac output.
Here, a person having excellent cardiopulmonary function, such as a person having the above-mentioned athletic heart, has a lower resting pulse rate and a cardiac output than a general person (for example, a person having no exercise habit). Is big. Therefore, the user determination unit can appropriately determine the ability (motor ability) related to the cardiopulmonary function of the user based on at least one of the resting pulse rate and the cardiac output. ..

In the first aspect, it is preferable to include an operation unit that accepts an input operation by the user, and the user determination unit determines the motor ability of the user based on the content of the input operation.
According to the first aspect, the motor ability of the user is determined based on the content of the input operation by the user. According to this, for example, when an input operation for indicating whether or not one's own athletic ability is high is performed by the user, or an operation for setting analysis information used for analysis of biological information by the user is performed. In that case, the motor ability of the user can be determined based on the content of the input operation. Therefore, the determination process by the user determination unit can be easily executed as compared with the case where the determination process is executed by analyzing the biological information or the like.

In the first aspect, the display unit is provided to display a screen on which user information regarding the user is input, and the user determination unit is based on the input user information and has the motor ability of the user. It is preferable to determine.
In addition, as the user information, information indicating the athletic ability of the user is exemplified, and more specifically, the long-distance running time of the user and the resting pulse rate can be exemplified.
According to the first aspect, since the determination process by the user determination unit is executed based on the user information, the determination process can be determined more easily and appropriately.

In the first aspect, the body motion information detection unit for detecting the body motion information of the user is provided, and the user determination unit includes the exercise state of the user based on the detected body motion information and the exercise. It is preferable to determine the motor ability of the user based on the biometric information of the user in the state.
According to the first aspect, the determination process is executed based on the exercise state of the user and the biological information in the exercise state. According to this, for example, by comparing the biometric information of the user actually detected in the exercise state based on the body movement information with the index of the biometric information for each exercise ability that can be detected in the exercise state. , The athletic ability of the user can be judged relatively easily and appropriately.

In the first aspect, it is preferable that the biological information includes at least a pulse wave, and the analysis unit calculates the pulse rate of the user based on the pulse wave.
Here, as described above, the upper limit of the pulse rate during exercise and the pulse rate at rest are different between those who have excellent athletic ability and those who do not.
On the other hand, according to the first aspect, since the analysis unit calculates the pulse rate based on the detected pulse wave, the user has a sports heart, as in the case of the user having a sports heart. Even a person with high athletic ability can appropriately calculate the pulse rate of the user.

In the first aspect, the body movement information detection unit for detecting the body movement information of the user is provided, and the analysis information is the movement of the user based on the body movement information detected by the body movement information detection unit. It is a table in which the state and the pulse rate are associated with each other, and it is preferable that the analysis unit calculates the pulse rate based on the table.
According to the first aspect, the analysis unit calculates the pulse rate based on the table in which the exercise state based on the body movement information and the pulse rate are associated with each other. According to this, for example, the pulse rate of the user can be estimated when the body movement of the user during exercise is intense and the biological information cannot be appropriately detected. Therefore, the pulse rate according to the exercise state can be presented to the user.

In the first aspect, the pace calculation unit for calculating the pace of the user based on the body movement information is provided, the table is a table in which the pace and the pulse rate are associated, and the analysis unit is a table. The pulse rate according to the pace of the user calculated by the pace calculation unit is acquired from the table, and the pulse rate of the user is calculated based on the pulse rate and the pulse rate based on the biological information. It is preferable to do so.
According to the first aspect, the calculated pulse rate according to the pace of the user is calculated based on the table selected by the user. According to this, as described above, even when the user's body movement is intense, the pulse rate according to the pace of the exercise being performed can be easily estimated. Therefore, the pulse rate according to the exercise state can be more easily presented to the user.

The biological information analysis system according to the second aspect of the present invention is a biological information analysis system that analyzes the biological information of a user, determines the motor ability of the user, and the motor ability of the user is a predetermined condition. When it is determined that the condition is satisfied, the analysis information according to the motor ability of the user is set, and the biological information is analyzed based on the set analysis information.
According to the second aspect, the same effect as that of the biological information analysis device according to the first aspect can be obtained.

The biometric information analysis method according to the third aspect of the present invention is a biometric information analysis method that analyzes the biometric information of the user, determines the motor ability of the user, and the motor ability of the user is a predetermined condition. When it is determined that the condition is satisfied, the analysis information according to the motor ability of the user is set, and the biological information is analyzed based on the set analysis information.
According to the third aspect, by carrying out the biometric information analysis method, the same effect as that of the biometric information analysis device according to the first aspect can be obtained.

The biometric information analysis system according to the fourth aspect of the present invention includes a detection device that detects the biometric information of the user and an analysis device that analyzes the biometric information detected by the detection device. The analyzer has a biometric information detection unit that detects the biometric information and an information transmission unit that transmits the biometric information detected by the biometric information detection unit, and the analyzer has a sports heart for the user. When it is determined by the user determination unit that determines whether or not the user is a person and the user determination unit that the user has a sports heart, the analysis information used for the analysis of the biometric information is used. , An information setting unit that sets analysis information for the sports heart, and an analysis unit that analyzes the biological information received from the detection device based on the analysis information for the sports heart set by the information setting unit. It is characterized by having.

The biological information analysis system may be composed of one device in which the detection device and the analysis device are integrated, or may be configured to include an independent detection device and an analysis device.
According to the fourth aspect, the same effect as that of the biological information analysis device according to the first aspect can be obtained.
That is, when the user determination unit determines that the user has an athletic heart, the detection device is based on the analysis information for the athletic heart set in the analysis information used for the analysis of the biological information. The biological information detected by the biological information detection unit is analyzed.
According to this, when the user is a person having a sports heart, the analysis unit can analyze the detected biological information based on the analysis information for the sports heart. Therefore, biological information can be appropriately analyzed and measured.

The biometric information analysis method according to the fifth aspect of the present invention is a biometric information analysis method for analyzing the biometric information of a user, and determines whether or not the user has a sports heart, and uses the biometric information. When it is determined that the person has a sports heart, the analysis information for the sports heart is set in the analysis information used for the analysis of the biological information, and the analysis information for the sports heart is set based on the set analysis information. , The biometric information is analyzed.
According to the fifth aspect, by carrying out the biometric information analysis method, the same effect as that of the biometric information analysis system according to the fourth aspect can be obtained.

The block diagram which shows the structure of the biological information measuring apparatus which concerns on 1st Embodiment of this invention. The block diagram which shows the structure of the control part in the said 1st Embodiment. The figure which shows an example of the setting screen in the said 1st Embodiment. The block diagram which shows the structure of the table selection part in the said 1st Embodiment. The flowchart which shows the 1st selection process in the said 1st Embodiment. The flowchart which shows the 2nd selection process in the said 1st Embodiment. The block diagram which shows the structure of the analysis part in the said 1st Embodiment. The flowchart which shows the pulse rate measurement process in the said 1st Embodiment. The flowchart which shows the pulse rate calculation process in the said 1st Embodiment. The block diagram which shows the structure of the detection apparatus which comprises the biological information analysis system which concerns on 2nd Embodiment of this invention. The block diagram which shows the structure of the analysis apparatus which comprises the biological information analysis system in the 2nd Embodiment. The block diagram which shows the structure of the control part of the analysis apparatus in the 2nd Embodiment.

[First Embodiment]
Hereinafter, the first embodiment of the present invention will be described with reference to the drawings.
[Outline configuration of biological information measuring device]
FIG. 1 is a block diagram showing a configuration of a biological information measuring device 1 according to the present embodiment.
The biological information measuring device (hereinafter, may be abbreviated as a measuring device) 1 according to the present embodiment is a wearable device that measures the biological information of a user who wears the measuring device 1 on a wearing site such as a wrist. Corresponds to an information analyzer. The measuring device 1 transmits the detected biological information and body movement information to an information processing device (not shown) that communicates with the measuring device 1.
Although the details will be described later, such a measuring device 1 stores a plurality of tables as analysis information in which the state of the exercise to be performed and the estimated value of the pulse rate when the exercise is performed are associated with each other. There is. Then, among these tables, a table according to the athletic ability of the user is selected to acquire the estimated pulse rate, and a process different from that of a general user is executed in the pulse rate calculation process. Further, the selected table is learned and updated according to the exercise state of the user. That is, the measuring device 1 is also a pulse rate measuring device for measuring the pulse rate of the user.
As shown in FIG. 1, such a measuring device 1 includes an operation unit 2, a detection unit 3, a reception unit 4, a notification unit 5, a communication unit 6, a storage unit 7, a signal processing unit 8, and a control unit 9.

[Configuration of operation unit]
The operation unit 2 has a plurality of buttons arranged in the outer case of the measuring device 1, and outputs an operation signal corresponding to the input (pressed) button to the control unit 9. For example, the operation unit 2 outputs an operation signal corresponding to an input operation for displaying the setting screen and an operation signal corresponding to the setting operation of the item displayed on the setting screen. The operation unit 2 is not limited to the configuration having buttons, and may be a touch panel arranged on the display unit 51 described later or a configuration for detecting a tap operation by the user.

[Configuration of detector]
The detection unit 3 includes a biological information detection unit 31 that detects the biological information of the user and a body movement information detection unit 32 that detects the body movement information of the user under the control of the control unit 9.
The biological information detection unit 31 detects the biological information of the user as a signal, and outputs the detected signal to the control unit 9. The biological information detection unit 31 includes a pulse wave sensor that detects the pulse wave of the user. In addition, the biological information detection unit 31 may include a sensor that detects other biological information (for example, electroencephalogram, electrocardiogram, and body temperature).

In the present embodiment, the pulse wave sensor included in the biological information detection unit 31 is a light emitting element composed of an LED (Light Emitting Diode) or the like, and a first light receiving element and a second light receiving element composed of a photodiode or the like, respectively. It is a photoelectric sensor equipped with. In this pulse wave sensor, the light emitting element irradiates the living body with light, and each light receiving element receives the light arriving through the blood vessels of the living body. Then, the pulse rate is counted by analyzing the pulse wave signal in which the signal indicating the time change of the amount of light received by each of these light receiving elements is integrated. That is, the light irradiated to the living body is partially absorbed by the blood vessels, but the absorption rate in the blood vessels changes due to the influence of the pulsation, so that the amount of light reaching each light receiving element changes. Then, the signal processing unit 8 described later performs frequency analysis on the pulse wave signal obtained from the signal indicating the time change of the received light amount detected and output by these light receiving elements, and the control unit 9 described later performs the frequency analysis. The frequency of the pulse is specified from the result of the frequency analysis, and the pulse rate of the user (the pulse rate per unit time) is calculated and measured based on the frequency of the pulse.

The body motion information detection unit 32 detects and outputs the body motion information of the user as a signal (body motion signal). Specifically, the body movement information detection unit 32 has an acceleration sensor that detects an acceleration signal that changes with the body movement of the user as body movement information, and obtains an acceleration signal indicating a change in the detected acceleration value. It is output to the control unit 9 as a body motion signal. Such an acceleration sensor can be configured by a three-axis sensor that detects acceleration in three orthogonal axes in the X, Y, and Z directions.
When the measuring device 1 is worn on the wrist of the user, the acceleration signal of one of the three orthogonal axes becomes a signal indicating the swing of the user's arm during exercise.
Further, the acceleration signal of the other one axis is a signal indicating the user's pace (pitch: number of steps per minute) during exercise.
The acceleration signal of the other one axis is a signal that combines the swing and pace of the arm.
These acceleration signals are also used in processing for reducing body motion noise superimposed on the pulse wave signal from the pulse wave signal detected by the pulse wave sensor.
Such a body movement information detection unit 32 may be configured to have a gyro sensor that detects the angular velocity in place of or in addition to the acceleration sensor.

In the following description, among the body motion signals detected by the body motion information detection unit 32, a signal indicating the change in acceleration accompanying one reciprocating motion of the mounting portion on which the measuring device 1 is mounted is defined as one cycle. A single body motion signal is used, and a signal showing each movement in one reciprocating motion and a change in acceleration due to the movement to the other side as one cycle is defined as a second body motion signal.
Specifically, the first body motion signal is an acceleration signal that indicates, as one cycle, an acceleration change associated with one swing (one reciprocating motion) of the wrist, which is a mounting portion of the measuring device 1. In other words, the first body motion signal is an acceleration signal having an acceleration change corresponding to a two-step motion as one cycle.
The second body motion signal is an acceleration signal that indicates, as one cycle, a change in acceleration associated with a forward movement and a change in acceleration associated with a backward movement in one swing of the wrist. .. When walking or running, the left and right feet are moved forward once in order according to the reciprocation of the front and back of the wrist. That is, one foot is moved forward once in response to one swing of the wrist in the forward or backward direction. Therefore, the second body motion signal can be rephrased as an acceleration signal indicating the movement of each foot, and is an acceleration signal having an acceleration change corresponding to one step of movement as one cycle. Furthermore, the second body motion signal can be said to be an acceleration signal (body motion signal) indicating the pace.

[Receiver configuration]
The receiving unit 4 corresponds to a position information acquisition unit that acquires position information (position information indicating the current position of the user) indicating the current position of the measuring device 1. Such a receiving unit 4 can be configured to correspond to a satellite positioning system such as GPS (Global Positioning System) and acquire position information indicating the current position based on radio waves received from the satellite. In addition, instead of such a configuration, it is also possible to have a configuration in which the position information is calculated using the radio wave for communication. The position information acquired by the receiving unit 4 may be adopted as one parameter indicating the body movement of the user.

[Configuration of notification unit]
The notification unit 5 notifies the user of various information under the control of the control unit 9. The notification unit 5 has a display unit 51, a voice output unit 52, and a vibration unit 53.
Although not shown, the display unit 51 is composed of various display panels such as liquid crystals and display means such as a plurality of LEDs, and displays information input from the control unit 9. For example, the display unit 51 displays the biological information and the body movement information detected by the detection unit 3. Further, the display unit 51 displays the exercise intensity calculated based on the biological information and the body movement information by making the plurality of LEDs function as indicators and turning on or blinking at least one of the plurality of LEDs. To do. Further, the display unit 51 displays a setting screen for inputting and setting user information regarding the user. When the display size (resolution) of the image on the display unit 51 is small, the setting screen may be displayed by the information processing device.

The audio output unit 52 is configured to include audio output means such as a speaker, and outputs audio according to audio information input from the control unit 9.
The vibration unit 53 has a motor whose operation is controlled by the control unit 9, and notifies the user, for example, a warning by vibration generated by driving the motor.

[Communication section configuration]
The communication unit 6 has a communication module capable of communicating with the information processing device. The communication unit 6 transmits, for example, biometric information and body movement information stored in the storage unit 7 to the information processing device in response to a request signal received from the information processing device. Further, when the user information is input to the setting screen displayed by the information processing device, the communication unit 6 receives the user information from the information processing device.
In the present embodiment, the communication unit 6 wirelessly communicates with the external device by the short-range wireless communication method, but may communicate with the external device via a relay device such as a cradle, or via a cable. You may communicate with an external device.

[Structure of storage unit]
The storage unit 7 is configured by a storage means having a flash memory or the like, and stores various information. The storage unit 7 has a control information storage unit 71, a detection information storage unit 72, and a table storage unit 73.
The control information storage unit 71 stores control information such as various programs and data necessary for the operation of the measuring device 1.
The detection information storage unit 72 contains biological information (pulse wave signal) and body motion information (body motion signal) detected by the detection unit 3 and analysis results (for example, pulse rate) by the signal processing unit 8 and the control unit 9 described later. ) And memorize. The detection information storage unit 72 sequentially stores these information, and when the storage capacity is insufficient, the detection information storage unit 72 overwrites the information stored first with the newly acquired information.

The table storage unit 73 stores a plurality of tables for acquiring an estimated pulse rate according to the degree of exercise performed by the user when the pulse cannot be appropriately detected from the pulse wave signal. These tables are analysis information used when analyzing a pulse wave signal as biological information, and are tables set in which a pace indicating the degree of exercise and an estimated pulse rate are associated with each other.

Here, the user of the measuring device 1 includes a person who does not have an exercise habit, a person who has an exercise habit (a person who exercises on a daily basis), and a person who has a high cardiopulmonary function called a so-called sports heart. There is. These individuals have different pulse rates that are measured when they perform exercises that keep the same pace. For example, when exercises with the same pace are performed, those who do not have exercise habits tend to have the highest pulse rate, and those who have a sports heart tend to have the lowest pulse rate. Therefore, it is not possible to obtain the estimated pulse rate according to the user from one table in which the cardiopulmonary function of the user is not considered, that is, one table in which the pace and the pulse rate have a one-to-one correspondence. Have difficulty.
On the other hand, the table storage unit 73 includes a general-purpose table in which the estimated pulse rate of a person who does not have an exercise habit is set, and a runner table in which an estimated pulse rate of a person who has an exercise habit is set. , A table for a sports heart in which an estimated pulse rate of a person having a sports heart is set is stored. These tables are selected by the control unit 9, which will be described later, based on the content of the input operation by the user or the detected biological information and body movement information. Then, the selected table is used for acquiring the estimated pulse rate, and is appropriately modified according to the pace and pulse rate calculated according to the exercise of the user.

In the present embodiment, the athletic heart refers to the heart itself, which is larger than usual as a result of the body adapting to enhance the athletic ability, or the cardiopulmonary function excellent by having such a heart. As a condition for determining a person having an athletic heart (hereinafter referred to as a determination condition), the cardiac output per beat is 150 ml or more, more preferably 200 ml or more, or rest. It is exemplified that the hourly pulse rate is 50 or less, more preferably 40 or less. These cardiac output and resting pulse rate can be extracted by analyzing pulse waves or electrocardiogram. In addition, the athletic heart can be rephrased as athletic ability or cardiopulmonary ability, and the above-mentioned determination condition can be, for example, a long-distance running time.

[Structure of signal processing unit]
The signal processing unit 8 has a signal processing circuit such as a DSP (Digital Signal Processor), and executes signal processing of biological information and body motion information detected by the detection unit 3.
Specifically, the signal processing unit 8 executes a process of generating a pulse wave signal by integrating the respective signals input from the first light receiving element and the second light receiving element. Further, the signal processing unit 8 is an acceleration signal (first body motion signal) indicating the swing of the user's arm among the three orthogonal axis acceleration signals input from the acceleration sensor of the body motion information detection unit 32. Along with determining the axis, the axis of the acceleration signal (second body motion signal) indicating the pace of the user is determined. By determining these two axes, the remaining axes of acceleration that indicate the swing and pace of the user's arm are also determined.

Then, the signal processing unit 8 uses an adaptive filter such as an FIR (Finite Impulse Response) filter to remove body motion noise components (noise component signals associated with arm swing and pace) from the generated pulse wave signal. To do. Then, the signal processing unit 8 performs frequency analysis at a predetermined frequency such as FFT (Fast Fourier Transform) transform on the beat signal which is the pulse wave signal from which the body motion noise component is removed. , The obtained processing result is output to the control unit 9. The pulse frequency is specified by the control unit 9 from the peak included in the processing result, and the pulse rate per unit time is calculated.

As described above, the pulse wave signal is a signal detected by the pulse wave sensor included in the biological information detection unit 31 and before the body motion noise component is removed. That is, in the present embodiment, the pulse wave signal is a signal in which each signal detected by each of the first light receiving element and the second light receiving element is integrated. When the pulse wave sensor has one light receiving element, the signal detected by the light receiving element is a pulse wave signal. Such a pulse wave signal includes a body motion noise component.
On the other hand, the pulsation signal is a signal in which the body motion noise component is removed from the pulse wave signal by the adaptive filter. That is, the pulsation signal is a pulse wave signal from which the body motion noise component has been removed.

[Control unit configuration]
FIG. 2 is a block diagram showing the configuration of the control unit 9.
The control unit 9 has an arithmetic processing circuit such as a CPU (Central Processing Unit), and controls the operation of the measuring device 1 autonomously or in response to an operation signal input from the operation unit 2. For example, the control unit 9 stores the biological information and the body movement information detected by the detection unit 3 in the storage unit 7. Further, the control unit 9 stores the input information for the displayed setting screen in the storage unit 7, and selects the above table to be used for acquiring the estimated pulse rate. Further, the control unit 9 calculates the pulse rate based on the processing result of the signal processing unit 8, and updates the selected table based on the actually measured pulse rate.
In order to execute such processing, the control unit 9 clocks as a functional unit realized by executing the program stored in the control information storage unit 71 by the arithmetic processing circuit, as shown in FIG. Unit 911, detection control unit 912, notification control unit 913, communication control unit 914, analysis control unit 915, information acquisition unit 916, pace calculation unit 917, table selection unit 918, pulse estimation unit 919, analysis unit 920, update condition determination. It has a unit 921 and a table update unit 922.

[Configuration of timekeeping unit, detection control unit and communication control unit]
The timekeeping unit 911 clocks the current date and time.
The detection control unit 912 controls the operation of the detection unit 3 and outputs the detection result by the detection unit 3 to the signal processing unit 8, and also stores the detection result in the detection information storage unit 72 together with the current date and time.
The communication control unit 914 controls the operation of the communication unit 6 that communicates with the information processing device.

[Configuration of notification control unit]
The notification control unit 913 controls the operation of the notification unit 5. For example, the notification control unit 913 outputs notification information including display and voice indicating the operating state of the measuring device 1 and the detection result by the detection unit 3 to the notification unit 5, and outputs the notification information to the notification unit 5. Notify. In addition, the notification control unit 913 drives the motor of the vibration unit 53 as needed, and notifies predetermined information by the vibration generated by the drive of the motor.

FIG. 3 is a diagram showing an example of the setting screen SP displayed by the display unit 51.
Further, the notification control unit 913 causes the display unit 51 to display the setting screen SP shown in FIG. 3, for example. This setting screen SP is a screen for inputting the above user information, and the setting screen SP has input fields SP1 and SP2 for inputting the height and weight of the user, and selection fields SP3 for selecting the gender of the user. And are set. Of these, the selection field SP3 is composed of two radio buttons labeled "male" and "female", and is configured so that each of the two radio buttons is not selected at the same time. There is.

Further, on the setting screen SP, the input fields SP4 and SP5 for inputting the resting pulse rate and the time of long-distance running (for example, marathon) of the user, and the above three tables used for estimating the pulse rate are used. A selection field SP6 for selecting a table according to the person is set. Of these, the selection field SP6 is composed of three radio buttons labeled "for general use", "for runners", and "for sports heart".
When the registration button SP7 provided at the bottom of the setting screen SP is pressed, the input contents of the fields SP1 to SP6 are acquired by the information acquisition unit 916 described later and stored in the storage unit 7. On the other hand, when the cancel button SP8 is pressed, the screen before transitioning to the setting screen SP is displayed.
The setting screen SP may be configured so that information regarding the age of the user can be set in place of or in addition to the user information. For example, as such information, an input field for inputting the age may be provided, or an input field for inputting the date of birth may be provided. In the latter case, the control unit 9 may calculate the age of the user based on the input date of birth and the current date and time measured by the timekeeping unit 911.

In such a setting screen SP, the columns SP4 to SP6 are not essential items. Therefore, when information is not input for these items, the second selection process is executed by the table selection unit 918 described later, and among the above three tables, the table corresponding to the pulse rate during exercise is selected. Be selected. This second selection process will be described in detail later.
As described above, when the display size of the image by the display unit 51 is small, the information processing device is displayed with the setting screen SP, and the user information is received from the information processing device via the communication unit 6. You may. Further, the setting screen SP is not limited to the configuration shown in FIG. 3, and may be configured to switch the display screen for each setting item and input the above user information on each display screen, and further, the input items. Is not limited to the above.

[Structure of analysis control unit]
Returning to FIG. 2, the analysis control unit 915 controls the operation of the signal processing unit 8. For example, when the measuring device 1 is not attached to the user, the analysis control unit 915 regulates the signal processing by the signal processing unit 8 and suppresses the power consumption. Further, when the analysis control unit 915 performs an input operation for starting the detection of the biological information and the body movement information (or when it detects that the user has worn the body information), the analysis control unit 915 sends the signal processing unit 8 to the above signal processing unit 8. The above signal processing is executed. Further, when the analysis control unit 915 calculates the pulse rate, the analysis control unit 915 may switch the execution target of the frequency analysis by the signal processing unit 8 between the pulsation signal and the pulse wave signal.

[Structure of information acquisition unit and pace calculation unit]
The information acquisition unit 916 acquires various information input from the operation unit 2, the detection unit 3, the reception unit 4, and the communication unit 6. For example, the information acquisition unit 916 stores the biological information and body movement information input from the detection unit 3 and the position information input from the reception unit 4 in the storage unit 7. Further, the information acquisition unit 916 acquires the user information input on the setting screen SP based on the operation signal input from the operation unit 2 when the setting screen SP is displayed.
The pace calculation unit 917 calculates the pace of the user based on the frequency analysis result for the second body motion signal (acceleration signal indicating the pace).

[Configuration of table selection]
The table selection unit 918 selects a table according to the user from the three tables stored in the table storage unit 73. Specifically, the table selection unit 918 executes the first selection process of selecting a table according to the user information input on the setting screen SP from the three tables. On the other hand, when the input fields SP4 and SP5 and the selection fields SP6 are not selected on the above setting screen SP, the resting pulse rate of the user, the long-distance running time, and the selection table by the user cannot be obtained. The table selection unit 918 executes a second selection process of selecting a table according to the pulse rate during exercise of the user from the three tables.

FIG. 4 is a block diagram showing the configuration of the table selection unit 918.
In order to execute such a first selection process and a second selection process, the table selection unit 918 has an input information determination unit 9181, a state determination unit 9182, an elapsed time determination unit 9183, and a pulse rate, as shown in FIG. It has a determination unit 9184 and a table setting unit 9185. Of these, the input information determination unit 9181 and the pulse determination unit 9184 correspond to the user determination unit that determines the exercise ability (ability related to cardiopulmonary function) of the user in the table selection unit 918.

The input information determination unit 9181 determines the user information input by the user on the setting screen SP and acquired by the information acquisition unit 916.
Specifically, the input information determination unit 9181 determines whether or not the sports heart table has been selected in the selection field SP6 on the setting screen SP based on the user information.
Further, in the input information determination unit 9181, the long-distance running time input in the input field SP5 on the setting screen SP is a predetermined time (a time that can be determined to be a person having a sports heart, and in the case of a marathon, for example, 3 Judge whether it is within the time).
Further, the input information determination unit 9181 determines whether or not the resting pulse rate input to the input field SP4 on the setting screen SP is less than the index value (for example, pulse rate 40) which is an index of a person having a sports heart. In addition to determining, it is determined whether or not a predetermined value (for example, pulse rate 70), which is a general resting pulse rate of a person without exercise habits, is exceeded.

The state determination unit 9182 determines the state of the user based on the detected body movement information. Specifically, the state determination unit 9182 determines whether or not the user is walking or running. In addition, the state determination unit 9182 determines whether or not the user's state is in a resting state.
When the state determination unit 9182 determines that the user's state is in a resting state, the elapsed time determination unit 9183 determines that the elapsed time from the user's state becoming a resting state is a predetermined time (for example, 1 minute). ) Has passed or not.

The pulse determination unit 9184 determines the pulse rate calculated based on the detected biological information and body movement information. Specifically, when the state determination unit 9182 determines that the user is walking or running, the pulse determination unit 9184 determines whether or not the pulse rate is less than a predetermined value. Such a predetermined value can be a value according to the calculated pace of the user. For example, the pulse rate for the error (for example, 10 to 20) is added to the value of 1/2 of the pace. Can be a value. Further, for example, the predetermined value may be used as an estimated pulse rate according to the pace among the estimated pulse rates set in the athletic heart table or the runner's table.
Further, the pulse determination unit 9184 determines the pulse rate calculated when the elapsed time determination unit 9183 determines that the elapsed time from the state of the user to the resting state has elapsed a predetermined time (that is, the resting state). Whether or not the hourly pulse rate) is less than the above-mentioned index value which is an index of a person having an athletic heart, and whether or not it exceeds the above-mentioned predetermined value which is a general resting pulse rate of a person who has an exercise habit. Is determined.

The table setting unit 9185 corresponds to an information setting unit that sets a table as analysis information. The table setting unit 9185 sets one of the general-purpose table, the runner's table, and the sports heart's table as a table used for analysis of biological information based on the determination results by the respective determination units 9181 to 9184. To do.

Hereinafter, the first selection process and the second selection process, which are executed by the table selection unit 918 and select a table as analysis information, will be described. As described above, the first selection process is a process of selecting a table based on the user information input by the user, and the second selection process is based on the detected biological information and body movement information. This is the process of selecting a table.

[First selection process]
FIG. 5 is a flowchart showing the first selection process.
When the registration button SP7 is input on the setting screen SP, the table selection unit 918 executes the first selection process shown in FIG.
In this first selection process, first, whether or not the table selected by the input information determination unit 9181 in the table selection field SP6 of the setting screen SP is a table for athletic heart (sports heart as a table to be used). It is determined (whether or not the input operation for selecting the table for use has been performed by the user) (step SA1).
Here, if it is determined that the table is for an athletic heart, the table selection unit 918 shifts the process to step SA4.

On the other hand, if it is determined that the table is not for a sports heart, the input information determination unit 9181 determines whether or not the time input in the long-distance running time input field SP5 of the setting screen SP is within the predetermined time. (Step SA2).
When it is determined in the determination process of step SA2 that the input long-distance running time is within a predetermined time, the table selection unit 918 shifts the process to step SA4.

When it is determined in the determination process of step SA2 that the input long-distance running time is not within a predetermined time, the input information determination unit 9181 is input to the resting pulse rate input field SP4 of the setting screen SP. It is determined whether or not the value is less than the above index value (step SA3). That is, in the step SA3, similarly to the step SA2, the input information determination unit 9181 determines whether or not the user has a sports heart based on the information input by the user.
If it is determined in the determination process of step SA3 that the input resting pulse rate is less than the above index value, the table selection unit 918 shifts the process to step SA4.

In step SA4, the table setting unit 9185 selects and sets a sports heart table among the three tables stored in the table storage unit 73 as a table used for estimating the pulse rate (step SA4).
After this step SA4, the table selection unit 918 ends the first selection process.

On the other hand, if it is determined in the determination process of step SA3 that the input resting pulse rate is not less than the index value, the pulse determination unit 9184 determines whether or not the resting pulse rate exceeds the predetermined value. Is determined (step SA5).

When it is determined in the determination process of step SA5 that the input resting pulse rate does not exceed the above-mentioned predetermined value (that is, the exercise habit is higher than the resting pulse rate of a person having a sports heart). (When it is determined that the pulse rate is lower than the resting pulse rate of the non-existent person), the table selection unit 918 determines that the user wearing the measuring device 1 has an exercise habit. In this case, the table setting unit 9185 selects and sets the runner table from the three tables stored in the table storage unit 73 as the table used for estimating the pulse rate (step SA6).

On the other hand, when it is determined in the determination process of step SA5 that the input resting pulse rate exceeds the above-mentioned predetermined value, that is, when it is determined that the resting pulse rate is relatively high, The table selection unit 918 determines that the user wearing the measuring device 1 has no exercise habit. In this case, the table setting unit 9185 selects and sets a general-purpose table among the three tables stored in the table storage unit 73 as the table used for estimating the pulse rate (step SA7).
After these steps SA6 and SA7, the table selection unit 918 ends the first selection process. By such a first selection process, a table used for estimating the pulse rate is selected based on the user information input by the user.

[Second selection process]
If the table to be used is not selected on the above setting screen SP, and the resting pulse rate and long-distance running time are not input, the table is selected and set based on these user information. Can't. In this case, the table selection unit 918 executes a second selection process of selecting a table to be used based on the detected biological information and body movement information. That is, the table selection unit 918 grasps the exercise ability of the user based on the exercise state of the user based on the detected body movement information and the biological information of the user in the exercise state, and the exercise ability. The second selection process of selecting and setting the table which is the analysis information according to the above is executed. This second selection process may be executed while the user is performing an action according to the message by notifying a message urging exercise or rest, or is already stored in the storage unit 7. It may be executed with the existing biological information and body movement information as the processing target.

FIG. 6 is a flowchart showing the second selection process.
In this second selection process, as shown in FIG. 6, first, whether or not the user is walking or running (use) based on the pace calculated by the pace calculation unit 917 by the state determination unit 9182. Whether or not the person is exercising) is determined (step SB01). When the second selection process is executed with the already stored biological information (pulse wave signal) and body motion information (body motion signal) as the processing target, the state determination unit 9182 sets the state determination unit 9182 in step SB01. Based on the calculated pace, it is determined whether or not the body movement information and the biological information are the body movement information and the biological information during exercise.

When it is determined in the determination process of step SB01 that the user is walking or running (when it is determined that the processing target is biological information and body movement information during walking or running), , The pulse determination unit 9184 determines whether or not the pulse rate calculated based on the biological information and the body movement information is less than the above-mentioned predetermined value (value according to the pace) (step SB02). That is, in the step SB02, the pulse determination unit 9184 determines the exercise ability of the user based on the exercise state based on the body movement information of the user and the pulse rate based on the biological information and the body movement information. As a result, it is determined whether or not the user has a sports heart.

When it is determined in the determination process of step SB02 that the calculated pulse rate is not less than the above-mentioned predetermined value, the table setting unit 9185 selects a general-purpose table as a table used for estimating the pulse rate for the time being. Set (step SB03). Then, the table selection unit 918 returns the process to step SB01, and executes the second selection process again. The table selected and set in step SB03 may be a runner table.
On the other hand, when it is determined in the determination process of step SB02 that the calculated pulse rate is less than the above-mentioned predetermined value, the table selection unit 918 shifts the process to step SB10.

When it is determined in the determination process of step SB01 that the user is not walking or running (when it is determined that the processing target is not the biological information and body movement information during walking or running), the state The determination unit 9182 determines whether or not the user's state is in a resting state based on the biological information and body movement information (step SB04).
When it is determined in the determination process of step SB04 that the table is not in a resting state, the table selection unit 918 shifts to the step SB03, and the table setting unit 9185 selects a general table as the table to be used for the time being. Set and return the process to step SB01.

When it is determined in the determination process of step SB04 that the patient is in a resting state, it is determined whether or not the elapsed time from the resting state has elapsed the predetermined time (step SB05).
If it is determined in the determination process of step SB05 that the predetermined time has not elapsed, the table selection unit 918 returns the process to step SB04.

On the other hand, when it is determined in the determination process of step SB05 that the predetermined time has elapsed, the pulse determination unit 9184 sets the pulse rate calculated based on the biological information and the body movement information to the resting pulse rate. Then, it is determined whether or not the resting pulse rate is less than the above index value (index value used in the determination process of step SA3) (step SB06).
If it is determined in the determination process of step SB06 that the resting pulse rate is less than the index value, the table selection unit 918 shifts the process to step SB10.

On the other hand, when it is determined in the determination process of step SB06 that the resting pulse rate is not less than the index value, the pulse determination unit 9184 uses the resting pulse rate as the predetermined value (used in the determination process of step SA5). It is determined whether or not the predetermined value is exceeded (step SB07).

When it is determined in the determination process of step SB07 that the resting pulse rate does not exceed the predetermined value, the table setting unit 9185 uses a runner table as the table to be used, as in step SA6. Select and set (step SB08).
On the other hand, when it is determined in the determination process of step SB07 that the resting pulse rate exceeds the above-mentioned predetermined value, the table setting unit 9185 selects and sets a general-purpose table as the table to be used (step). SB09).
Further, in step SB10, the table setting unit 9185 selects and sets a table for athletic heart as a table to be used (step SB10).
After these steps SB08 to SB10, the table selection unit 918 ends the second selection process. By such a second selection process, a table used for estimating the pulse rate is selected based on the detected biological information and body movement information.

In the first selection process and the second selection process, the table selection unit 918 is based on the input user information or the detected biological information (pulse wave signal) and body motion information (body motion signal). The table was automatically selected and set according to the user. However, the present invention is not limited to this, and the user may be prompted to change the table by displaying a message for selecting the table. Further, only one of the first selection process and the second selection process may be executed, and further, the second selection process may be executed periodically.

[Structure of pulse estimation unit]
Returning to FIG. 2, the pulse estimation unit 919 estimates the pulse rate of the user based on the detected body motion information (body motion signal). Specifically, the pulse estimation unit 919 refers to the table selected by the table selection unit 918, and estimates the pulse rate according to the pace calculated by the pace calculation unit 917 based on the second body motion signal. Get as.

[Structure of analysis unit]
The analysis unit 920 analyzes the detected biological information. Specifically, the analysis unit 920 calculates the pulse rate based on the result of the frequency analysis by the signal processing unit 8.
Here, in the measuring device 1, the representative frequency (frequency having a large peak) in the result (power spectrum) of the frequency analysis for the beat signal is defined as the pulse frequency, and the value obtained by multiplying the obtained frequency by 60 is defined as the pulse rate. It is a configuration to do. In such a configuration, when the frequency of body movement (arm swing and pace) is close to the frequency of the pulse, the pulse wave signal is obtained when the pulse signal is obtained in the adaptive filter processing by the signal processing unit 8. The body motion noise component is pulled too much from. Therefore, the peak of the frequency of the pulse in the power spectrum as a result of the frequency analysis of the pulsation signal may become smaller (weaker). In addition, even when the phases of body movement and pulse are reversed, the peak becomes smaller (weaker). In such a case, in the result of the frequency analysis, the peak indicating the pulse generation timing (the peak of the frequency of the pulse) becomes small, and the pulse may not be specified. In addition, if a peak derived from noise is detected at the frequency of the pulse, the peak may be erroneously determined as a pulse.

FIG. 7 is a block diagram showing the configuration of the analysis unit 920.
Therefore, the analysis unit 920 normally detects and specifies the pulse based on the pulsation signal (more specifically, the power spectrum obtained by frequency analysis of the pulsation signal). However, when the pulse cannot be detected and specified based on the pulsation signal, it is determined whether or not the pulse wave signal and the body motion signal overlap, which will be described in detail later, and it is determined that they overlap. In that case, the body movement is regarded as a pulse.
In order to execute such processing, as shown in FIG. 7, the analysis unit 920 includes a detectability determination unit 9201, a target change unit 9202, a processing result acquisition unit 9203, an SN ratio determination unit 9204, and a pulse interval determination unit 9205. , User determination unit 9206, overlap determination unit 9207, pulse identification unit 9208, and pulse rate calculation unit 9209.

The detection possibility determination unit 9201 determines whether or not the pulse can be detected (specified) from the pulsation signal. Specifically, the detectability determination unit 9201 determines whether or not a peak corresponding to the pulse can be detected from the peak change in the predetermined frequency band of the power spectrum obtained from the pulsation signal.
When the target change unit 9202 determines that the pulse cannot be detected from the pulsation signal by the detection possibility determination unit 9201, the signal processing unit 8 is asked to perform frequency analysis on the pulse wave signal instead of the pulsation signal. To execute.
The processing result acquisition unit 9203 acquires the result (power spectrum) of the frequency analysis of the pulse wave signal by the signal processing unit 8.
The SN ratio determination unit 9204 determines whether or not the SN ratio of the pulse wave signal is good, specifically, whether or not the SN ratio is equal to or higher than a predetermined value. This predetermined value can be a value to which it is determined that the body motion noise component contained in the pulse wave signal is sufficiently low.

The pulse interval determination unit 9205 defines the difference between the previous pulse, which is the previous pulse rate detected or estimated, and the pulse candidate selected as the pulse rate after the previous pulse (that is, the candidate for the current pulse rate). Judge whether or not it is within. If it is determined in this determination process that the difference between the previous pulse and the pulse candidate is within the regulation, it is highly possible that the pulse candidate is the actual current pulse. In other words, if it is determined that the difference between the previous pulse and the pulse candidate is not within the specified value, the pulse candidate may have lost sight of the pulse (pulse wave signal) of the measuring device 1 instead of the actual current pulse. Highly sexual.

The user determination unit 9206 determines whether or not the user has a sports heart based on the processing result by the table selection unit 918. For example, the user determination unit 9206 determines that the user has an athletic heart if the table selected by the table selection unit 918 is a table for athletic heart. The user determination unit 9206 may determine whether or not the user has a sports heart based on the above user information, independently of the selection result by the table selection unit 918. A process similar to the determination process by the table selection unit 918 may be executed to determine whether or not the user has a sports heart based on the pulse rate during exercise or rest of the user. ..

The overlap determination unit 9207 determines whether or not the pulse wave signal and the body motion signal overlap each other based on the processing result acquired by the processing result acquisition unit 9203. The case where the pulse wave signal and the body motion signal overlap means that the respective main frequencies are the same or close to each other as a result of frequency analysis of the body motion signal and the pulse wave signal. That is, when the pulse wave signal and the body motion signal overlap, the difference between the body motion frequency (body motion related information) and the pulse frequency (pulse related information) is within a predetermined range (for example, -0.1 Hz or more). It means that it is within the range of +0.1 Hz or less).

Specifically, the overlap determination unit 9207 is specified from the frequency analysis result of the pulse wave signal when the pulse interval determination unit 9205 determines that the difference between the previous pulse and the pulse candidate is not within the above regulation. The frequency of the previous pulse is compared with the frequency of the body movement specified from the second body movement signal. Then, the overlap determination unit 9207 performs a determination process for determining whether or not the difference between the frequency of the previous pulse and the frequency of the body movement is within the predetermined range.
Here, when the difference between the frequency of the previous pulse and the frequency corresponding to the second body motion signal (current body motion frequency) is within the above-mentioned predetermined range, the pulse wave signal and the body motion signal overlap. There is a high possibility that it is. From this, when the difference between the frequencies is within the above-mentioned predetermined range, the overlap determination unit 9207 overlaps the pulse wave signal and the second body motion signal, and thereby loses sight of the pulse of the pulse this time. Presumed to be. On the other hand, when the difference between the frequencies is not within the predetermined range, the overlap determination unit 9207 does not overlap the pulse wave signal and the second body motion signal, and loses sight of the pulse pulse this time for other reasons. Presumed to be.

Further, when the user determination unit 9206 determines that the user has a sports heart, the overlap determination unit 9207 determines that the frequency of the previous pulse is specified from the frequency analysis result of the pulse wave signal. The frequency of the body movement specified from the first body movement signal (frequency corresponding to the first body movement signal) is compared. Then, the overlap determination unit 9207 performs a determination process for determining whether or not the difference between the frequency of the previous pulse and the frequency of the body movement is within the predetermined range. In this case as well, the overlap determination unit 9207 estimates that the pulse wave signal and the first body motion signal overlap when the difference between the frequencies is within the predetermined range, and the difference between the frequencies is the predetermined range. If it is not within the range, it is estimated that the pulse wave signal and the first body motion signal do not overlap.
In each determination process, the overlap determination unit 9207 may adopt the pulse frequency obtained from the estimated pulse rate instead of the frequency of the previous pulse. This frequency is obtained by dividing the estimated pulse rate obtained by the pace calculation unit 917 according to the current pace of the user from the currently selected table by 60. Then, in this case, in the following processing, the frequency of the previous pulse may be read as the frequency of the estimated pulse rate.

The pulse specifying unit 9208 identifies the peak of the pulse.
Specifically, when the detection / rejection determination unit 9201 determines that the pulse can be detected from the pulsation signal, the pulse identification unit 9208 specifies the pulse from the frequency analysis result of the pulsation signal.
Further, in the pulse specifying unit 9208, the difference between the frequency of the previous pulse and the frequency of the body motion indicated by the second body motion signal is within the predetermined range by the overlap determination unit 9207, and the pulse wave signal and the second body are present. When it is determined that the dynamic signal overlaps, the body motion is specified as a pulse.
Further, in the pulse specifying unit 9208, the difference between the frequency of the previous pulse and the frequency of the body motion indicated by the first body motion signal is within the predetermined range by the overlap determination unit 9207, and the pulse wave signal and the first body are present. When it is determined that the dynamic signal overlaps, the body motion is specified as a pulse.

As described above, the pulse rate calculation unit 9209 calculates the value obtained by multiplying the frequency of the pulse specified by the pulse specifying unit 9208 by 60 as the pulse rate. In addition, when the SN ratio determination unit 9204 determines that the SN ratio of the pulse wave signal is lower than the predetermined value, and when the overlap determination unit 9207 determines that the pulse wave signal and the second body motion signal do not overlap, and Either, the case where the user determination unit 9206 determines that the user does not have a sports heart, or the case where the overlap determination unit 9207 determines that the pulse wave signal and the first body motion signal do not overlap. In this case, the pulse rate calculation unit 9209 acquires the estimated pulse rate acquired by the pulse estimation unit 919 as the current pulse rate.
The analysis unit 920 counts the pulse of the user by each of the functional units 9201 to 9209, and the detailed procedure of the pulse counting will be described in detail later.

[Configuration of update condition judgment unit]
The update condition determination unit 921 determines whether or not the update condition for determining whether or not to update the table selected by the table selection unit 918 is satisfied based on the pulse rate calculated by the analysis unit 920. .. Examples of such an update condition include the following five conditions. Then, when all of these five conditions are satisfied, the update condition determination unit 921 determines that the update conditions of the table are satisfied.

The first condition is that the pace calculated by the pace calculation unit 917 is stable for a predetermined time (for example, 80 seconds) or more. More specifically, the first condition is that the change in pace calculated in the predetermined period until the determination process by the update condition determination unit 921 is executed is within the range of the predetermined value.
The second condition is that the pulse is continuously detected and specified a predetermined number of times (for example, 20 times) or more based on the pulsation signal. This is to prevent the table from being updated by the estimated pulse rate when the pulse is not properly detected, such as when the measuring device 1 is not properly attached.
The third condition is that the SN ratio of the detected pulse wave signal and the SN ratio of the pulsating signal are relatively high.
The fourth condition is that the calculated fluctuation of the pulse rate is relatively small.
The fifth condition is that the frequency of body movement and the frequency of the pulse are relatively far apart, or that the pulse rate calculated based on the pulse wave signal is close to the value in the selected table. .. If either of the former condition or the latter condition is satisfied, the fifth condition is satisfied.

When it is determined that the user has a sports heart, the update condition determination unit 921 determines whether or not the following sixth condition is satisfied in addition to the above update condition.
The sixth condition is that the pulse rate calculated by the pulse rate calculation unit 9209 is not less than 1/2 of the user's pace calculated by the pace calculation unit 917 (in other words, the calculated pulse rate). Is more than 1/2 of the calculated user's pace). This is because when a user with an athletic heart performs low-intensity exercise in which the pulse rate rises to only about half of the pace, a table in which the relationship between the pace and the pulse rate matches the user's condition is selected. Otherwise, the correct pulse rate cannot be obtained and the table may not be updated properly.

[Configuration of table update section]
When the table update unit 922 determines that the update condition is satisfied by the update condition determination unit 921, the table update unit 922 determines the pulse rate of the corresponding pace in the selected table, and the pulse rate calculated by the pulse rate calculation unit 9209. Update by. When the above update condition is satisfied, such a table update unit 922 updates the table according to the actual pulse rate of the user, so that the actual pace of the user and the actual pulse rate The contents of the table can be set according to the relationship. The update of the table is not limited to the update of overwriting with the calculated pulse rate, but can also be the update of overwriting with the average value of the past pulse rate and the newly calculated pulse rate.

[Pulse rate measurement processing]
Since the measuring device 1 is worn on the wrist of the user, the acceleration change according to the swing of the user's arm appears in the first body motion signal, and the second body motion signal is in step with the user. The corresponding acceleration change appears. That is, as described above, the first body motion signal indicates a body motion component corresponding to one round trip of the arm swing during walking and running of the user, and the second body motion signal is during walking and running of the user. The body movement component corresponding to one arm swing (that is, one step) during running is shown.
When each of these body motion signals and the pulse wave signal overlap, the pulse may not be specified as described above, and when a peak derived from noise is detected at the frequency of the pulse, the peak is mistaken as a pulse. There is a problem of detecting it.
Therefore, the control unit 9 executes the pulse rate measurement process shown below in order to appropriately detect the pulse rate and measure the appropriate pulse rate.

FIG. 8 is a flowchart showing a pulse rate measurement process.
In this pulse rate measurement process, as shown in FIG. 8, the pace calculation unit 917 first calculates the pace based on the detected body movement information (particularly the second body movement signal) (step SC1).
Next, the pulse estimation unit 919 refers to the table selected by the table selection unit 918 and acquires the pulse rate (estimated pulse rate) according to the calculated pace (step SC2).
After this step SC2, the control unit 9 executes the pulse rate calculation processing SD.

FIG. 9 is a flowchart showing the pulse rate calculation processing SD.
In the pulse rate calculation processing SD, as shown in FIG. 9, first, the detection possibility determination unit 9201 determines whether or not the pulse can be detected and specified from the pulse signal (step SD01).
When it is determined that the pulse can be detected in the determination process of step SD01, the control unit 9 shifts the process to step SD05.
On the other hand, when it is determined in the determination process of step SD01 that the pulse cannot be detected from the pulsation signal, the target changing unit 9202 causes the signal processing unit 8 to perform frequency analysis on the pulse wave signal, and the processing result. The acquisition unit 9203 acquires the processing result of the frequency analysis (step SD02).

After this step SD02, the SN ratio determination unit 9204 determines whether or not the SN ratio of the pulse wave signal is higher than a predetermined value (step SD03).
Here, when it is determined that the SN ratio of the pulse wave signal is lower than the predetermined value, the control unit 9 shifts the processing to step SD12.
On the other hand, when it is determined that the SN ratio of the pulse wave signal is higher than the predetermined value, the pulse interval determination unit 9205 determines whether or not the interval between the previous pulse and the pulse candidate is within the above regulation ( Step SD04).
Here, if it is determined that the interval is within the above specification, the control unit 9 shifts the process to step SD05.
In steps SD02 and SD03, the order of processing may be reversed. In this case, when it is determined that the SN ratio of the pulse wave signal is higher than a predetermined value, frequency analysis for the pulse wave signal is executed, and then the process may proceed to step SD04.

In step SD05, the pulse specifying unit 9208 identifies the pulse from the pulsating signal (step SD05). After this, the control unit 9 shifts the process to step SD11.

When it is determined in the determination process of step SD04 that the interval is not within the above regulation, the overlap determination unit 9207 determines whether or not the pulse wave signal and the second body motion signal overlap, that is, the previous time. It is determined whether or not the difference between the pulse frequency and the body movement frequency indicated by the second body movement signal is within the above-mentioned predetermined range (step SD06).
When it is determined in the determination process of step SD06 that the pulse wave signal and the second body motion signal overlap (the difference between the respective frequencies is within the above-mentioned predetermined range), the pulse specifying unit 9208 determines that the first 2 The body movement of the body movement signal is specified as a pulse (step SD07). After this, the control unit 9 shifts the process to step SD11.

On the other hand, when it is determined in the determination process of step SD06 that the pulse wave signal and the second body motion signal do not overlap (the difference between the respective frequencies is not within the above predetermined range), the user determination unit 9206 determines. It is determined whether or not the user has a sports heart (step SD08).
When it is determined in the determination process of step SD08 that the user does not have a sports heart, the control unit 9 shifts the process to step SD12.

When it is determined in the determination process of step SD08 that the user has a sports heart, the overlap determination unit 9207 determines whether or not the pulse wave signal and the first body motion signal overlap, that is, , It is determined whether or not the difference between the frequency of the previous pulse and the frequency of the body movement indicated by the first body movement signal is within the above-mentioned predetermined range (step SD09).
When it is determined in the determination process of step SD09 that the pulse wave signal and the first body motion signal do not overlap (the difference between the frequencies is not within the above predetermined range), the control unit 9 steps the process. Move to SD12.
When it is determined in the determination process of step SD09 that the pulse wave signal and the first body motion signal overlap (the difference between the respective frequencies is within the above-mentioned predetermined range), the pulse specifying unit 9208 determines that the pulse wave signal and the first body motion signal overlap. The body movement of the first body movement signal is specified as a pulse (step SD10). After this, the control unit 9 shifts the process to step SD11.
The pulse frequency to be compared with the body movement frequency in steps SD06 and SD09 may be the pulse frequency obtained from the estimated pulse rate as described above.

In step SD11, the pulse rate calculation unit 9209 calculates the pulse rate based on the pulse frequency (including the case where the pulse is the frequency of the body movement specified as the pulse) specified in steps SD05, SD07, and SD10. (Step SD11).
On the other hand, in step SD12, the pulse rate calculation unit 9209 acquires the estimated pulse rate acquired from the table by the pulse estimation unit 919 (step SD12).
After these steps SD11 and SD12, the control unit 9 ends the pulse rate calculation processing SD.

Returning to FIG. 8, when the pulse rate calculation processing SD is completed, the update condition determination unit 921 determines whether or not the update condition is satisfied (step SC3).
Here, if it is determined that the update condition is not satisfied, the control unit 9 shifts the process to step SC5.
On the other hand, when it is determined that the update condition is satisfied, the table update unit 922 updates the currently selected table based on the calculated pulse rate and pace (step SC4). After that, the control unit 9 shifts the process to step SC5.

In step SC5, the control unit 9 determines whether or not the input operation for ending the measurement process has been performed by the user, that is, whether or not the operation signal corresponding to the input operation has been input from the operation unit 2 ( Step SC5).
If it is determined in the determination process of step SC5 that the input operation has not been performed, the control unit 9 returns the process to step SC1 and continues the pulse rate measurement process.
On the other hand, when it is determined in the determination process of step SC5 that the above input operation has been performed, the control unit 9 ends the pulse rate measurement process.
By executing such a pulse rate measurement process, the pulse rate of the user can be appropriately detected, and by extension, the pulse rate of the user can be appropriately counted and measured.

[Effect of the first embodiment]
The measuring device 1 according to the present embodiment described above has the following effects.
When it is determined by the determination process of the determination units 9181 to 9184 that the motor ability of the user satisfies the above conditions and the user has a sports heart, the table setting unit 9185 sets the table as analysis information. As a sports heart table is selected and set. Then, using the table, the pulse estimation unit 919 acquires the estimated pulse rate according to the pace, and the analysis unit 920 holds and stores the estimated pulse rate as the pulse rate of the user. According to this, when the user has a sports heart, the pulse rate can be obtained based on the sports heart table even if the pulse cannot be specified. Therefore, the analysis process of the biological information according to the motor ability of the user can be executed, and the appropriate pulse rate can be maintained and notified, so that the biological information can be appropriately analyzed and measured for the user.

As mentioned above, a person with an athletic heart is a person with excellent cardiopulmonary function. Then, the determination unit 9181-9184 determines whether or not the user has a sports heart. Then, a table corresponding to these determination results is selected and set. According to this, the biological information is analyzed based on the table according to the ability of the user regarding the cardiopulmonary function, and the pulse rate is calculated. Thereby, the pulse rate related to the cardiopulmonary function of the user can be calculated more appropriately. Therefore, biological information can be analyzed and measured more appropriately.

As mentioned above, a person with an athletic heart has a lower resting pulse rate than a general person (for example, a person without exercise habits). Then, the pulse determination unit 9184 determines whether or not the user has a sports heart based on the resting pulse rate of the user. According to this, it can be appropriately determined whether or not the user has a sports heart.

The input information determination unit 9181 determines whether or not the user has a sports heart based on the content of the input operation for the setting screen SP. According to this, the determination process can be easily executed as compared with the case where the determination process of whether or not the user has a sports heart is executed by analyzing the biological information and the body movement information. ..

Further, the input information determination unit 9181 is not only the type of the table selected in the selection field SP6 of the setting screen SP displayed on the display unit 51, but also the long-distance running time and the long-distance running time input in the input fields SP4 and SP5. Based on the resting pulse rate, it is determined whether or not the user has an athletic heart. According to this, the determination process can be executed based on the user information. Therefore, the determination process can be determined more simply and appropriately.

The pulse determination unit 9184 determines whether or not the user has a sports heart by comparing a predetermined value according to the pace of exercise of the user with the calculated pulse rate. According to this, it is possible to appropriately determine whether or not the user has a sports heart based on the actually detected pulse rate during exercise.

The analysis unit 920, which functions as an analysis unit for analyzing the detected biological information, calculates the pulse rate of the user based on the biological information. According to this, even if the user has a sports heart, the pulse rate of the user can be appropriately measured, so that the fluctuation of the pulse rate characteristic of the person having the sports heart can be surely grasped. ..

The analysis unit 920 acquires the pulse rate based on the table in which the pace and the pulse rate as the exercise state based on the body movement information are associated with each other. According to this, for example, the pulse rate of the user can be estimated when the body movement of the user during exercise is intense and the biological information cannot be appropriately detected. Therefore, the pulse rate according to the exercise state can be presented to the user.

The pulse rate according to the user's pace calculated by the pace calculation unit 917 is acquired based on the selected table. According to this, even when the pulse cannot be specified from the pulsation signal and the pulse wave signal, the pulse rate according to the pace of the exercise being performed can be easily estimated. Therefore, the pulse rate according to the exercise state can be more easily presented to the user.

When the overlap determination unit 9207 determines that the pulse wave signal and the body motion signal overlap, the pulse identification unit 9208 identifies the body motion indicated by the body motion signal as a pulse, and the pulse rate calculation unit 9209. Calculates the pulse rate based on the frequency of the body movement (body movement-related information related to the periodicity of the body movement). According to this, when the pulse wave signal and the body motion signal overlap and the pulse cannot be specified from the beat signal obtained by removing the body motion signal from the pulse wave signal, the body motion can be specified as a pulse. The pulse rate can be calculated based on the frequency of the body movement. Therefore, the pulse rate can be calculated appropriately, and noise can be suppressed from being erroneously detected as a pulse.

The measuring device 1 calculates the pulse rate per unit time by multiplying the specified pulse frequency by a coefficient corresponding to the unit time (60 if the unit time is 1 minute). According to this, compared with the method of counting the pulse rate within a predetermined time and calculating the pulse rate per unit time by multiplying the pulse rate by the quotient obtained by dividing the unit time by the predetermined time. The pulse rate can be calculated quickly.
In the case of such a configuration, since the pulse frequency is obtained from the result of the frequency analysis for the pulsation signal obtained by removing the body motion noise component from the pulse wave signal, it is not necessary to separately provide a configuration for obtaining the pulse frequency. .. In addition, the frequency of body movement can be acquired by using the configuration. Therefore, the respective frequencies of pulse and body movement can be obtained by using the configuration and information used for calculating the pulse rate per unit time.

When it is determined that the difference between the pulse frequency and the body movement frequency is within a predetermined range, the overlap determination unit 9207 determines that the pulse and the body movement overlap. According to this, the overlap between the pulse and the body movement can be easily determined based on the pulse frequency and the body movement frequency obtained from the analysis result by the signal processing unit 8.

The overlap determination unit 9207 determines that the pulse and the body movement overlap when the difference between the pulse frequency and the body movement frequency is in the range of −0.1 Hz or more and + 0.1 Hz or less.
Here, when the difference between these frequencies is outside the range, the pulse wave signal and the body motion signal do not overlap, and it is considered that the influence of the body motion is small. Therefore, the overlap determination unit 9207 can appropriately determine the overlap between the pulse wave signal and the body motion signal by determining whether or not the difference is in the range of −0.1 Hz or more and + 0.1 Hz or less.

Here, when the frequency of the previous pulse and the frequency corresponding to the body motion signal (current body motion frequency) are within the above range, the cause when the pulse cannot be identified from the pulse wave signal is the pulse wave signal. It is highly possible that this is because the body motion signal and the body motion signal overlap.
Further, even when the frequency of the pulse obtained from the estimated pulse rate and the frequency corresponding to the body motion signal are within the above range, the cause when the pulse cannot be identified from the pulse wave signal is the pulse wave signal and the body motion signal. It is highly possible that they overlap.
Therefore, the overlap determination unit 9207 determines whether or not the difference between the pulse frequency of the previous pulse or the pulse frequency obtained from the estimated pulse rate and the frequency corresponding to the body motion signal is within the above range. Therefore, the cause when the pulse cannot be specified from the pulse wave signal can be specified. When the cause of not being able to identify the pulse from the pulse wave signal is the overlap between the pulse wave signal and the body motion signal, the pulse rate is calculated based on the frequency of the body motion, so that the pulse rate is counted more appropriately. it can.

When the SN ratio of the pulse wave signal is relatively high, the influence of noise such as body motion components on the pulse wave signal is small, and there is a high possibility that the pulse can be specified even when the pulse wave signal and the body motion signal overlap. On the other hand, when the SN ratio of the pulse wave signal is relatively low, there is a high possibility that the pulse cannot be specified, and in such a case, it is difficult to calculate the pulse rate.
On the other hand, when the SN ratio determination unit 9204 determines that the SN ratio of the pulse wave signal is lower than the predetermined value, the estimated pulse rate according to the pace calculated from the second body motion signal is selected. Obtained from the table. According to this, even when the pulse cannot be detected and specified, the estimated pulse rate according to the exercise state of the user can be acquired and presented.

In general, the type of body motion signal that easily overlaps with the pulse wave signal may differ depending on the individual's exercise habits and athletic ability. Specifically, in a person without exercise habits, the result is obtained that the frequency of body movement based on the second body movement signal and the frequency of pulse based on the pulse wave signal are located in substantially the same frequency range, and in this case, Is determined that the pulse wave signal and the second body motion signal overlap.
On the other hand, in a person who has an exercise habit and has a sports heart, the result is that the frequency of body movement based on the first body movement signal and the frequency of pulse based on the pulse wave signal are located in almost the same frequency range. In this case, it is determined that the pulse wave signal and the first body motion signal overlap.
In this way, depending on the exercise habits and athletic ability, even if the same exercise is performed, the type of the body motion signal that overlaps with the pulse wave signal is different. For this reason, in the conventional method, there is a possibility that the pulse wave signal is suppressed or deleted together with the body motion signal (first or second body motion signal) in the signal processing, and it is difficult to calculate the accurate pulse rate. It becomes a situation.

On the other hand, when the user does not have a sports heart, the overlap determination unit 9207 has a pulse wave signal based on the pulse frequency and the body motion frequency corresponding to the first body motion signal. The overlap between the body motion signal and the body motion signal is determined. On the other hand, when the user has a sports heart, it is based on the frequency of the pulse, the frequency of the body movement corresponding to the first body movement signal, and the frequency of the body movement corresponding to the second body movement signal. Therefore, the overlap between the pulse wave signal and the body motion signal is determined. Then, when it is determined that the pulse wave signal and the body motion signal overlap, the pulse rate is calculated based on the frequency of the body motion determined to overlap. According to this, even in a situation where the pulse wave signal and the body motion signal overlap, it is possible to suppress the above-mentioned erroneous determination and calculate the accurate pulse rate. Therefore, the pulse rate can be appropriately counted by any user of any exercise habit.

On the other hand, when the user wearing the measuring device 1 exercises in a low temperature environment, the surface temperature of the skin of the user with whom the measuring device 1 comes into contact is low, so that the detected pulse wave signal is a body movement. It may be smaller (weaker) than the signal.
In such a case, for a user who does not have a sports heart, the pulse wave signal and the body motion signal are overlapped based on the pulse wave frequency and the body motion frequency based on the first body motion signal. Even if it is determined, since the pulse wave signal mainly contains the body motion noise component indicated by the body motion signal (mainly the first body motion signal), the body motion noise component contained in the pulse wave signal is pulsed. There is a possibility that it will be erroneously determined that the pulse wave signal and the body motion signal overlap. In particular, immediately after the start of exercise, the body movement component indicated by the first body movement signal (for example, the body movement component corresponding to one round trip of the user's arm swing) and the pulse of the previous pulse calculated based on the pulse wave signal. Since the frequency is very close to the estimated pulse rate estimated based on the number, the possibility of erroneously determining the body movement component as a pulse increases.
On the other hand, when it is determined that the user does not have a sports heart, the pulse wave signal and the body motion signal based on the pulse frequency and the body motion frequency based on the first body motion signal are used. No overlap is determined. As a result, the determination content can be switched between the case where the user has a sports heart and the case where the user does not have a sports heart, so that the pulse rate can be appropriately calculated according to the user.

[Second Embodiment]
Next, the second embodiment of the present invention will be described.
The biometric information analysis system according to the present embodiment includes a detection device that detects the biometric information and body movement information of the user, and an analysis device that analyzes the biometric information and body movement information received from the detection device. By executing the processing executed by the signal processing unit 8 and the control unit 9, the analysis device realizes the same function as the biological information measuring device 1. In this respect, the biometric information analysis system according to the present embodiment is different from the biometric information measuring device 1. In the following description, parts that are the same as or substantially the same as those already described will be designated by the same reference numerals and description thereof will be omitted.

FIG. 10 is a block diagram showing a configuration of a detection device AS1 constituting the biological information analysis system AS according to the present embodiment.
As shown in FIG. 10, the biological information analysis system AS according to the present embodiment includes a detection device AS1 and an analysis device AS2, and has the same functions as the measurement device 1.

[Detector configuration]
The detection device AS1 has a storage unit 7A and a control unit 9A instead of the storage unit 7 and the control unit 9, and has the same configuration as the measurement device 1 except that the signal processing unit 8 is not included.
Of these, the storage unit 7A has a control information storage unit 71 and a detection information storage unit 72 like the storage unit 7, but does not have a table storage unit 73.

The control unit 9A controls the operation of the detection device AS1. The control unit 9A includes a timekeeping unit 911, a detection control unit 912, a notification control unit 913, a communication control unit 914, an information acquisition unit 916, and an information transmission unit 923. That is, the control unit 9A does not have the analysis control unit 915, the pace calculation unit 917, the table selection unit 918, the pulse estimation unit 919, the analysis unit 920, the update condition determination unit 921, and the table update unit 922, while the information transmission unit 923. Other than that, it has the same configuration as the control unit 9.

Of these, the information acquisition unit 916 acquires various information input from the operation unit 2, the detection unit 3, the reception unit 4, and the communication unit 6 as described above. That is, the information acquisition unit 916 acquires the information received from the analysis device AS2 via the communication unit 6 (for example, the pulse rate as the analysis result of the biological information and the body movement information). Such information is notified by the notification unit 5, for example, under the control of the notification control unit 913.
The information transmission unit 923 analyzes the biological information (pulse wave signal) and the body motion information (body motion signal) detected by the detection unit 3 and stored in the detection information storage unit 72 via the communication unit AS2. Send to.

[Analyzer configuration]
FIG. 11 is a block diagram showing the configuration of the analysis device AS2 that constitutes the biological information analysis system AS.
The analysis device AS2 analyzes the biological information and body movement information received from the detection device AS1 and transmits the analysis result to the detection device AS1. For example, a PC (Personal Computer) or a smartphone (multifunctional mobile phone). It can be configured by such as. As shown in FIG. 11, the analysis device AS2 includes an operation unit AS21, a display unit AS22, an audio output unit AS23, a communication unit AS24, a storage unit AS25, a signal processing unit AS26, and a control unit AS27. That is, the analysis device AS2 can be said to be a pulse rate measuring device that analyzes the biological information and the body movement information detected by the detection device AS1 and measures the pulse rate.

The operation unit AS21 has a keyboard, a pointing device, and the like, and outputs an operation signal corresponding to the input operation of the user to the control unit AS27.
Further, the display unit AS22, the audio output unit AS23, the communication unit AS24, and the signal processing unit AS26 have the same configuration as the display unit 51, the audio output unit 52, the communication unit 6, and the signal processing unit 8, respectively.

The storage unit AS25 has a control information storage unit AS251, a detection information storage unit AS252, and a table storage unit AS253, similarly to the storage unit 7.
The control information storage unit AS251 stores control information such as various programs (including an OS (Operating System)) and data necessary for the operation of the analysis device AS2.
The detection information storage unit AS252 stores biological information and body movement information received from the detection device AS1 via the communication unit AS24 under the control of the control unit AS27 described later.
The table storage unit AS253 stores the above table as analysis information.

FIG. 12 is a block diagram showing the configuration of the control unit AS27.
The control unit AS27 has an arithmetic processing circuit such as a CPU, and controls the operation of the analysis device AS2 autonomously or in response to an operation signal input from the operation unit AS21. The control unit AS27 executes, for example, the same processing as the processing executed by the control unit 9 of the measurement device 1, and selects a table based on the biological information and the body movement information received from the detection device AS1. Then, the analysis of each of the information (for example, the calculation of the pulse rate) is executed.
Therefore, as shown in FIG. 12, the control unit AS27 includes the timekeeping unit AS271, the notification control unit AS272, the communication control unit AS273, the analysis control unit AS274, the information acquisition unit AS275, the pace calculation unit AS276, the table selection unit AS277, and the pulse rate. It has an estimation unit AS278, an analysis unit AS279, an update condition determination unit AS280, a table update unit AS281, and an analysis result transmission unit AS282.

Of these, the functional units AS271 to AS281 have the same functions as the functional units 911, 913 to 922, respectively. For example, the notification control unit AS272 displays the setting screen SP on the display unit AS22, and the information acquisition unit AS275 acquires the input contents for the displayed setting screen SP. Further, the communication control unit AS273 controls the operation of the communication unit AS24 that communicates with the detection device AS1, and the analysis control unit AS274 controls the operation of the signal processing unit AS26.
Further, the control unit AS27 is mainly a living body received by the information acquisition unit AS275, the pace calculation unit AS276, the table selection unit AS277, the pulse estimation unit AS278, the analysis unit AS279, the update condition determination unit AS280, and the table update unit AS281. In addition to executing the process of selecting the above table based on the information and the body movement information (first selection process and second selection process), the pulse rate measurement process including the pulse rate calculation process SD is executed.
Then, the analysis result transmission unit AS282 transmits the pulse rate, which is the analysis result of the biological information and the body movement information and is the processing result of the pulse rate measurement process, to the detection device AS1 by the communication control unit AS273 and the communication unit AS24. .. As a result, the pulse rate is displayed on the display unit 51 that constitutes the notification unit 5 of the detection device AS1.

[Effect of the second embodiment]
According to the biological information analysis system AS according to the present embodiment described above, the same effect as that of the biological information measuring device 1 can be obtained, and the following effects can be obtained.
The biological information and body movement information detected by the detection device AS1 are transmitted to the analysis device AS2 and analyzed by the analysis device AS2. According to this, since the analysis device AS2 can execute the process having a relatively large processing load, the detection device AS1 can be miniaturized and the processing load of the detection device AS1 can be reduced.

[Modification of Embodiment]
The present invention is not limited to each of the above embodiments, and modifications, improvements, and the like within the range in which the object of the present invention can be achieved are included in the present invention.
In each of the above embodiments, the measuring device 1 and the analysis device AS2 hold a table in which the pace and the estimated pulse rate are associated with each other as analysis information. However, the present invention is not limited to this, and a mathematical formula in which the pace and the estimated pulse rate are associated may be retained as analysis information. In addition, analysis information for analyzing other biological information may be retained. For example, as analysis information, a table in which the pace and the respiratory rate are associated may be held, and a table in which the number of arm or foot swings per unit time and the pulse rate are associated is held. You may. Further, it may hold a table in which the magnitude (power) of acceleration and the pulse rate are associated with each other.
Further, the analysis information is a table used when calculating the pulse rate based on the pulse wave signal which is biological information. However, the present invention is not limited to this, and may be correction information of a signal detected as biological information or the like. That is, the analysis information may be any information used for the analysis of biological information.

In each of the above embodiments, the analysis information includes a general table, a runner table, and a sports heart table, and any one of these can be selected on the setting screen SP. However, it is not limited to this. For example, instead of the above table, it may be possible to set analysis information according to the exercise ability of the user and the skill level of exercise (for example, beginner, intermediate, advanced, expert, expert). In this case, at least two or more of these analysis information are presented to the user, and the analysis information according to the operation of the user is selected and set so as to be selected and set, and the living body is based on the selected analysis information. For example, the estimated pulse rate may be obtained by analyzing the information.
In addition to the operation by the user, the selection and setting of the table may be selected and set based on the exercise record of the user. For example, analysis information such as the above table may be selected based on exercise performance information including at least one of the cumulative time, cumulative intensity, and exercise frequency of the exercise performed by the user.

In each of the above embodiments, the exercise ability of the user is grasped based on the resting pulse rate and the pulse rate according to the exercise state, and it is determined whether or not the user has a sports heart. did. However, the present invention is not limited to this, and the exercise ability of the user may be grasped and determined in place of or in addition to the resting pulse rate, based on the cardiac output. Furthermore, the athletic ability of the user may be grasped and determined based on other information such as muscle mass.
Further, the analysis information is not limited to the configuration in which the analysis information is set depending on whether or not the user has a sports heart, and the exercise ability of the user is similar to the setting of either the general table or the runner table. The analysis information may be set according to the above.

In each of the above embodiments, whether or not the user has a sports heart is determined based on the user information input on the setting screen SP, or the detected biological information and body movement information. I said. However, it is not limited to this. For example, the measuring device 1 and the analysis device AS2 may be configured to receive information from the outside for determining whether or not the user has a sports heart, or the detection device AS1 may transmit the information to the analysis device AS2. Good.

In each of the above embodiments, the overlap determination unit 9207 determines whether or not the difference between the pulse frequency obtained from the previous pulse frequency or the estimated pulse rate and the body movement frequency is within a predetermined range. It was determined whether or not the pulse wave signal and the body motion signal overlap. However, the present invention is not limited to this, and it may be determined by another method whether or not the pulse wave signal and the body motion signal overlap.

In each of the above embodiments, the SN ratio determination unit 9204 determines that the estimated pulse rate is acquired from the selected table when the SN ratio of the pulse wave signal is lower than the predetermined value. However, the present invention is not limited to this, and the estimated pulse rate may be acquired when the signal strength of the pulse wave signal is lower than a predetermined value. Further, such a determination process may be omitted.

In each of the above embodiments, when the user is a person having a sports heart, it is determined whether or not the first body motion signal and the pulse wave signal overlap. However, the present invention is not limited to this, and even if the user does not have a sports heart, it may be configured to determine whether or not these body motion signals and pulse wave signals overlap. That is, the process of determining whether or not the user has a sports heart can be omitted. On the other hand, the overlap determination as to whether or not the second body motion signal and the pulse wave signal overlap may be performed only when the user does not have a sports heart.

In each of the above embodiments, the pulse frequency is determined based on the pulse wave signal or the power spectrum which is the result of frequency analysis of the pulsation signal obtained by removing the body motion noise component from the pulse wave signal. It was acquired as pulse-related information related to the periodicity of the pulse wave signal, and the value obtained by multiplying the frequency by 60 was taken as the pulse rate. Further, based on the acceleration signal which is a body motion signal indicating the body motion, the frequency of the body motion was acquired as the body motion related information related to the periodicity of the body motion signal. However, the present invention is not limited to this, and the pulse-related information and the body movement-related information may be other information. For example, the pulse-related information and the body movement-related information may be the waveform, period, and phase of each signal. In this case, the pulse rate may be calculated based on the pulse waveform, or the pulse rate may be calculated based on the pulse cycle. At this time, when determining the overlap between the pulse wave signal and the body motion signal, the period and phase of the pulse are compared with the cycle and phase of the body motion, and the appearance timing of the pulse and the appearance timing of the body motion are determined. When substantially the same (when the difference between the appearance timing of the pulse and the appearance timing of the body movement is within a predetermined range), it may be determined that the pulse wave signal and the body movement signal match.

In each of the above embodiments, the measuring device 1 is configured as a wearable device worn on the wrist of the user. However, it is not limited to this. That is, the mounting site of the measuring device 1 may be anywhere, for example, a foot (more specifically, an ankle) or a chest. Further, depending on the mounting site, it is not necessary to detect the first body motion signal.
Further, in each of the above embodiments, the body motion signal detected by the body motion information detection unit 32 is a one-cycle movement (walking) of the reciprocating movement of the mounting portion (for example, wrist or foot) of the measuring device 1 and the detecting device AS1. The first body movement signal indicating the acceleration that changes with time and one round-trip arm swing in the front-back direction during running, and the half-cycle body movement (before walking and running) of the reciprocating movement of the mounting site. It is assumed that the acceleration that changes with one movement of the arm in the direction or the backward direction, that is, the second body motion signal indicating the pace of the user during walking and running is included. However, the present invention is not limited to this, and acceleration signals indicating the body movement of the user in other directions may be used as the first body movement signal and the second body movement signal. For example, the change in acceleration accompanying the vertical movement of the user may be used as the second body movement signal, and the signal obtained by multiplying the second body movement signal by an integer of 2 or more may be used as the first body movement signal.

In the first embodiment, the measuring device 1 is configured to be usable by the measuring device 1 alone, but the present invention is not limited to this. That is, the function of the measuring device 1 and the functions of the detecting device AS1 and the analysis device AS2 may be incorporated in an electronic device (for example, a medical device).

1 ... Biometric information measurement device (biological information analysis device), 2 ... Operation unit, 31 ... Biological information detection unit, 32 ... Body movement information detection unit, 51 ... Display unit, 917 ... Pace calculation unit, 9181 ... Input information determination unit (User determination unit), 9184 ... Pulse determination unit (user determination unit), 9185 ... Table setting unit (information setting unit), 920 ... Analysis unit, 923 ... Information transmission unit, AS ... Biological information analysis system, AS1 ... Detection device, AS2 ... Analysis device, AS277 ... Table selection unit (user determination unit, information setting unit), AS279 ... Analysis unit, SP ... Setting screen (screen).

Claims (8)

A pulse wave sensor that detects the user's pulse wave signal,
A body motion sensor that detects the body motion signal of the user,
A table used when estimating the pulse rate of a person having a sporting heart, first analysis information indicative of a relation between the estimated pulse rate and cadence, and pulse rate of a person other than those having the sports heart A storage unit that is a table used when estimating a number and stores a second analysis information representing the relationship between the estimated pulse rate and the pace .
When said one of the analysis information of the first analysis information and said second analysis information is thus selected to the user, based on the user information which the includes information indicating one of the analysis information, It is determined whether or not one of the first analysis information and the second analysis information is selected, and when neither the first analysis information nor the second analysis information is selected. , It is determined whether or not the user is exercising, and if the user is exercising, whether or not the pulse rate calculated based on the pulse wave signal is less than a predetermined value. When the determination is made and the pulse rate is less than the predetermined value, the first analysis information is selected, and when the pulse rate is not less than the predetermined value, the second analysis information is selected. User judgment unit and
When it is determined whether or not the pulse can be specified based on the beat signal obtained by removing the body motion noise component based on the body motion signal from the pulse wave signal, and when the pulse can be specified based on the beat signal. Calculates the pulse number of the user based on the beat signal, and if the pulse cannot be specified based on the beat signal, is the pulse wave signal and the body motion signal overlapped? When it is determined whether or not the pulse wave signal and the body motion signal overlap, the pulse number of the user is calculated based on the body motion signal, and the pulse wave signal and the body motion signal are calculated. If they do not overlap, the estimated pulse rate according to the pace calculated based on the body motion signal from the analysis information selected from the first analysis information and the second analysis information. pulse wave analyzing apparatus, wherein a and a analysis section for acquiring the pulse rate of the user. In the pulse wave analysis apparatus according to claim 1,
In the user determination unit, when neither the first analysis information nor the second analysis information is selected and the user is not exercising, the user is in a resting state. When it is determined whether or not the user is in the resting state, the first analysis information and the second analysis are based on the resting pulse rate calculated based on the pulse wave signal. A pulse wave analyzer characterized in selecting one of the information. In the pulse wave analysis apparatus according to claim 1 or 2.
It is equipped with an operation unit that accepts input operations by the user.
The user determination unit is characterized in that by acquiring the user information from the input operation, it is determined whether or not one of the first analysis information and the second analysis information is selected. Pulse wave analysis device. In the pulse wave analysis apparatus according to any one of claims 1 to 3.
It is equipped with a communication unit that acquires the user information from the information processing device.
The user determination unit is characterized in that it determines whether or not one of the first analysis information and the second analysis information is selected based on the user information acquired by the communication unit. Pulse wave analysis device. It is a pulse wave analysis method that analyzes the pulse wave signal of the user.
Detecting the pulse wave signal and body motion signal of the user,
A table used when estimating the pulse rate of a person having a sports heart, the first analysis information showing the relationship between the estimated pulse rate and the pace, and the pulse rate of a person other than the person having a sports heart. a table used when estimating the out of the second analysis information indicative of a relation between the pace and the estimated pulse rate, if one of the analysis information is thus selected to said user, based on the user information includes information indicating the analysis information of the one, to determine whether one of said first analysis information and said second analysis information has been selected,
When neither the first analysis information nor the second analysis information is selected, it is determined whether or not the user is exercising.
When the user is exercising, it is determined whether or not the pulse rate calculated based on the pulse wave signal is less than a predetermined value.
When the pulse rate is less than the predetermined value, the first analysis information is selected, and the pulse rate is selected.
If the pulse rate is not less than the predetermined value, the second analysis information is selected.
It is determined whether or not the pulse can be specified based on the pulsation signal obtained by removing the body motion noise component based on the body motion signal from the pulse wave signal.
When the pulse can be specified based on the pulsation signal, the pulse rate of the user is calculated based on the pulsation signal.
When the pulse cannot be specified based on the pulsation signal, it is determined whether or not the pulse wave signal and the body motion signal overlap.
When the pulse wave signal and the body motion signal overlap, the pulse rate of the user is calculated based on the body motion signal.
When the pulse wave signal and the body motion signal do not overlap, it is calculated based on the body motion signal from the analysis information selected from the first analysis information and the second analysis information. A pulse wave analysis method, characterized in that the estimated pulse rate according to the pace is acquired as the pulse rate of the user. In the pulse wave analysis method according to claim 5,
When neither the first analysis information nor the second analysis information is selected and the user is not exercising, it is determined whether or not the user is in a resting state. When the user is in the resting state, one of the first analysis information and the second analysis information is obtained based on the resting pulse rate calculated based on the pulse wave signal. A pulse wave analysis method characterized by selection. In the pulse wave analysis method according to claim 5 or 6.
By acquiring the user information from the input operation of the user, it is determined whether or not one of the first analysis information and the second analysis information is selected. analysis method. In the pulse wave analysis method according to any one of claims 5 to 7.
Upon receiving the user information from the information processing device,
A pulse wave analysis method, characterized in that it is determined whether or not one of the first analysis information and the second analysis information is selected based on the received user information.

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