JP2007268016A - Biological information measuring device and biological information measuring system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a biological information measuring device and a biological information measuring system capable of displaying a plurality of measured results of biological information in a style capable of referring to the same by comparing the same. <P>SOLUTION: The biological information measuring device has a plurality of electromyograph devices 10 continuously measuring the biological information of the specific sites of a human body, a display section 330 displaying the measured results derived by the measurement of the biological information by the plurality of electromyograph devices 10 with time, and a CPU 320 controlling the display of the display section 330 so as to display the measured results lining the same for every electromyograph device 10, 10. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a biological information measuring device and a biological information measuring system, and more particularly to a biological information measuring device and a biological information measuring system capable of displaying a measurement result obtained by measuring biological information.

2. Description of the Related Art Conventionally, biological information measurement systems that measure changes in biological information such as myoelectric potential, pulse, blood pressure, and body temperature are known. This biological information measurement system is widely used not only as a medical device but also for the purpose of maintaining health and grasping an exercise state. Among these, as a biological information measurement system that measures myoelectric potential, for example, a system that estimates the muscle state by measuring the myoelectric potential of the wearing site and displays the estimated muscle state is known (see Patent Document 1). .
Japanese Patent Laid-Open No. 2004-202196

  However, the technique disclosed in Patent Document 1 is configured such that, when a display button that requests display is pressed, a value representing the muscle state accumulated from the start of measurement is displayed as a number. Although it is possible to display it, it is not possible to display changes over time in the muscle state associated with exercise or the like.

Further, the technique disclosed in Patent Document 1 has a configuration in which the measuring device is independent of other measuring devices. For this reason, it is difficult to measure biological information at multiple locations on the body in synchrony with one another, such as comparing and comparing the measurement results at multiple locations for reference. There was a problem that the relevance could not be found.
Especially when you want to know whether the pedaling with the left and right feet is applied equally or whether you are pedaling in a balanced manner, such as when you are training bicycle pedaling techniques. It is preferable that the biometric information of a plurality of locations is measured in synchronization, and the user can compare and examine the measurement results.

  The present invention has been made in view of the above-described problems, and an object of the present invention is to provide a biological information measuring device and a biological information measuring system that can be displayed in a format that allows comparison and reference of measurement results of a plurality of biological information. Yes.

The invention according to claim 1 for solving the above-described problems includes a plurality of measurement means (for example, myoelectric measurement devices 10 and 10 in FIG. 2) that continuously measure biological information of a predetermined part of a human body. ,
Display means (for example, the display unit 330 in FIG. 2) for displaying measurement results obtained by measuring biological information by the plurality of measurement means over time;
Display control means (for example, CPU 320 in FIG. 2; step a7 in FIG. 10) for controlling the display of the display means so as to display the measurement result in parallel for each of the measurement means. This is a characteristic biological information measuring device.

Further, the biological information measuring device according to claim 2 is the biological information measuring device according to claim 1, wherein the activity start time of the predetermined part and the biological information measuring device based on the measured values measured by the plurality of measuring means Detection means (for example, CPU 120 in FIG. 2; steps b4 and b8 in FIGS. 9 and 10) for detecting the end point of the activity;
Based on the activity time from the activity start time to the activity end time detected by the detection means and the activity interval from the activity start time to the detection of the next activity start time by the detection means, the activity efficiency is determined. Calculating means (for example, CPU 320 in FIG. 2; step a5 in FIG. 10),
The display control means controls the display means to display the activity efficiency calculated by the calculation means in parallel for each of the measurement means.

  Further, the biological information measuring device according to claim 3 is the biological information measuring device according to claim 1 or 2, wherein the detecting means uses a measurement value measured by the measuring means as a predetermined reference value. Comparing means for comparison (for example, CPU 120 in FIG. 2; steps b3 and b6 in FIGS. 9 and 10), the time when the measured value is equal to or greater than the predetermined reference value is set as the activity start time, and the activity starts. A time point that is less than the predetermined reference value after the time point is detected as an activity end point.

According to a fourth aspect of the present invention, there are provided a plurality of measurement devices (for example, myoelectric measurement devices 10 and 10 in FIG. 2) for measuring biological information of a predetermined part of a human body, and biological information by the plurality of measurement devices. A biological information measurement system comprising a control device (for example, the control device 30 in FIG. 2) that displays the measurement results obtained by the measurement over time,
The controller is
Display means (for example, the display unit 330 in FIG. 2) for displaying the measurement results obtained by measuring biological information with the plurality of measurement devices over time;
Display control means (for example, CPU 320 in FIG. 2; step a7 in FIG. 10) for controlling the display of the display means so as to display the measurement results in parallel for each of the measuring devices. This is a characteristic biological information measurement system.

  According to the first and fourth aspects of the present invention, since the measurement results obtained by measuring the biological information by the plurality of measurement means are displayed in parallel on the display means for each measurement means, there are a plurality of users. By comparing and contrasting the situation of the body of the place, there is an effect that appropriate exercise can be performed while considering the balance of the whole body.

  According to the second aspect of the present invention, the biological information of a predetermined part of the human body is measured, and the activity efficiency is calculated based on the activity time and the activity interval of the predetermined part. Can be displayed in parallel on the display means. Thereby, there is an effect that the user can perform appropriate exercise while comparing and contrasting the activity efficiency of the body in a plurality of places and considering the balance of the whole body.

  According to the invention described in claim 3, by comparing the measured value of the biological information of the predetermined part with a predetermined reference value set in advance, the activity start time and the activity end time of the predetermined part are determined. Can be detected. Thereby, it is possible to appropriately calculate the activity time and the activity interval of the predetermined part, and it is possible to obtain information that can be used as a reference when the user exercises.

  Hereinafter, a preferred embodiment of the biological information measurement system of the present invention will be described in detail with reference to FIGS. In the following description, an example of measuring myoelectric potential during cycling exercise as biological information will be described.

  FIG. 1 is a diagram illustrating a state in which a user wears the biological information measurement system 1. The biological information measuring system 1 includes a plurality of myoelectric measuring devices 10 as measuring devices that can be attached to each part of a user's body, and each myoelectric measuring device 10, 10. And a wristwatch-type control device 30 capable of data communication with each other. In the biological information measuring system 1 according to this embodiment, when measuring the myoelectric potential during cycling exercise, for example, as a plurality of measuring devices, as shown in FIG. The electromyography measuring devices 10 and 10 are respectively mounted on the arm and the control device 30 is mounted on the arm. The control device 30 is supplied with the results of measuring the myoelectric potentials of the left and right feet from the myoelectric measurement devices 10 and 10, respectively.

At the time of wearing, the user attaches the electrode portion 111 (see FIG. 2) of the electromyography measuring device 10 to the outer vastus muscles of the quadriceps of both legs and fixes them with a band or the like, and attaches the control device 30 to the wrist. Installing. Then, the user operates the control device 30 to start measuring myoelectric potential, and then depresses the pedal to start exercise. Alternatively, the user can also start measuring myoelectric potential during exercise.
When such a cycling exercise is performed, the muscles of both legs repeat the activity and the pause, so that the time-varying state of the muscle exercise can be obtained by detecting the activity state and the pause state of the muscle by the myoelectric potential.

[Control configuration]
FIG. 2 is a block diagram illustrating an example of a control configuration of the myoelectric measurement device 10 and the control device 30 that configure the biological information measurement system 1.

  First, the control configuration of the myoelectric measurement device 10 will be described. The myoelectric measurement device 10 includes a measurement unit 110, a CPU 120, a transmission / reception unit 130, and a storage unit 140.

  Among these, the measurement unit 110 is a functional unit that measures myoelectric potential, and includes a pair of electrodes that are in contact with the skin of each part of the body such as the outer vastus muscle, and detects a potential difference between the pair of electrodes over time. Electrode section 111, impedance converter 112 that outputs the potential difference detected by electrode section 111 by low impedance conversion, and a signal input from impedance converter 112 is amplified to a predetermined signal level and output. An amplifier 113, a filter 114 that passes a signal in a predetermined frequency range among signals input from the amplifier 113 and removes a frequency component outside the range, and an A / D conversion of the signal input from the filter 114 And an A / D converter 115 for output.

Specifically, the potential change between the two points detected by the electrode unit 111 is several tens of μV to several mV, and the myoelectric potential frequency band is 2 to 10 KHz. In general, since the impedance of a living body is very high, impedance conversion is performed by an impedance converter (for example, a voltage follow type circuit) 112. Next, the amplifier (for example, operational amplifier) 113 amplifies the voltage to about 100 times so that the myoelectric waveform can be processed. Various noises are superimposed on the waveform amplified by the amplifier 113. Therefore, the frequency component outside the range to be processed as the myoelectric waveform is removed by the filter 114 in the next stage. Next, the signal (analog signal) input from the filter 114 is converted into a digital signal by an A / D converter (for example, a 12-bit A / D converter) 115.
Although an analog filter is used as the filter 114 here, a digital filter may be used instead of the analog filter. In this case, the digital filter is provided after the A / D converter 115.

  The CPU 120 performs an instruction, data transfer, etc. to each functional unit in the myoelectric measurement device 10 based on a program and data stored in the storage unit 140, data transmitted from the control device 30, etc. The apparatus 10 is controlled. In order to realize this embodiment, the CPU 120 measures the muscle activity state (muscle state) based on the myoelectric potential (biological information) continuously measured by the measurement unit 110, and obtains the measurement result (biological information). The muscle state measurement process transmitted to the control device 30 is executed.

  This muscle state measurement process will be specifically described with reference to FIG. The figure shows an example of the myoelectric waveform, and shows the waveform of the myoelectric potential measured by the measuring unit 110 of the myoelectric measurement device 10 for the left foot attached to the lateral vastus muscle of the left foot (FIG. 3 ( A)) shows the waveform of the myoelectric potential measured by the measuring unit 110 of the myoelectric measuring device 10 for the right foot affixed to the lateral vastus muscle of the right foot (FIG. 3B). Note that the actual muscle state measurement process is performed by the CPU 120 calculating the value of the signal digitized by the A / D converter 115. However, for convenience of explanation, here, explanation will be made using the analog myoelectric waveform of FIG.

  In this muscle state measurement process, the CPU 120 detects a muscle activity start timing (ta) that is a muscle activity start time and a muscle activity end timing (tb) that is a muscle activity end time based on the measured myoelectric potential. While functioning as a detection means, the muscle state is measured for each pedaling.

  Specifically, the CPU 120 determines the time point (hereinafter referred to as “timing”) when the measured myoelectric potential value is equal to or greater than a predetermined reference value (predetermined threshold) as the muscle activity start timing (ta). To do. Further, the CPU 120 stores the myoelectric potential with time from the muscle activity start timing (ta) in the myoelectric generation data area 142 of the storage unit 140 as myoelectric generation data to be described later. Then, the CPU 120 monitors whether or not the myoelectric potential value is less than the reference value, and when the myoelectric potential value becomes less than the reference value, it is measured for a predetermined time (Ts) from that point. It is determined whether or not the value of the myoelectric potential remains below the reference value. If it remains below, the time when it becomes less than the reference value is set as the muscle activity end timing (tb). In addition, the CPU 140 determines the time from the muscle activity start timing (ta) to the muscle activity end timing (tb), that is, the time during which the muscle is active (depressing the pedal) during the pedaling, ) And stored in the storage unit 140.

  Here, the timing at which the measured myoelectric potential value becomes equal to or higher than the reference value is determined as the muscle activity start timing (ta). A point in time when the number of times reaches the first time within the predetermined time when the number of times is reached may be set as the muscle activity start timing (ta). Alternatively, when the number of times that the reference value is exceeded within the predetermined time reaches the predetermined number of times, the time when the number of times reaches the reference value last within the predetermined time may be set as the muscle activity start timing (ta). The same applies hereinafter. The reason for doing this is to prevent noise from being mixed into the myoelectric potential waveform at the start of measurement and causing the myoelectric measurement device 10 to malfunction due to the noise.

  Thereafter, the CPU 120 determines that the next muscle activity is started at that time when the measured value of the myoelectric potential becomes equal to or higher than the reference value again. In this case, the CPU 120 calculates the time from the previous muscle activity start timing (ta) to the time point, that is, the time from the previous pedal depression to the next pedal depression, that is, the time required for one pedaling. While calculating as myoelectric generation interval (Tsyc) which is an activity interval, the number of pedaling which is the number of activity occurrences is updated. Then, the CPU 120 evaluates muscle fatigue from an averaged rectified value (ARV) that is an index for evaluating muscle tension from myoelectric generation data that is a change in myoelectric potential in the previous pedaling. An average frequency (MPF: Mean Power Frequency) that is an index is calculated.

That is, the CPU 120 processes the amplitude value based on the obtained myoelectric waveform to obtain a rectified average value (ARV). This rectified average value is an index indicating the muscular strength exerted. Further, the CPU 120 obtains an average frequency (MPF) by performing FFT analysis on the obtained myoelectric waveform. This average frequency is an index indicating the degree of muscle fatigue.
In this example, the CPU 120 calculates the rectified average value (ARV), the average frequency (MPF), and the like, but the index calculated by the CPU 120 is not limited to this example. For example, an effective value (RMS: Root-Mean-Square-Value) mainly related to muscle tension, an integral value, or a median frequency (Median Frequency) related to muscle fatigue is calculated from the above-described myoelectric generation data. You may do it.

  Then, the muscle activity start timing (ta) is updated, the myoelectric generation data in the myoelectric generation data area 142 is reset, and the above processing is performed to measure the muscle state related to the next pedaling.

  The transmission / reception unit 130 is a functional unit for performing wireless communication with the control device 30. For example, the transmission / reception unit 130 demodulates a signal transmitted from the control device 30 via an antenna (not shown) and outputs the demodulated signal to the CPU 120. The input control signal is modulated and amplified and transmitted to the control device 30 via the antenna.

  The storage unit 140 is realized by an IC memory such as a ROM or a RAM, an information storage medium such as a hard disk and a reading device thereof, and stores a program for causing the CPU 120 to control the myoelectric measurement device 10. Yes. FIG. 4 is a diagram showing a specific configuration example of the storage unit 140. In order to realize this embodiment, a muscle state measurement program for executing the above-described muscle state measurement process is stored in the muscle state measurement program area 141. Stored. Further, as data, myoelectric generation data, muscle activity start timing (ta), muscle activity end timing (tb), muscle strength duration (Tv), myoelectric generation interval (Tsyc), and number of pedaling, The rectified average value (ARV) and the average frequency (MPF) are a myoelectric generation data area 142, a muscle activity start timing (ta) area 143, a muscle activity end timing (tb) area 144, and a muscle strength duration. (Tv) area 145, myoelectric generation interval (Tsyc) area 146, pedaling frequency area 147, rectified average value (ARV) area 148, and average frequency (MPF) area 149 are stored, respectively. It is overwritten and updated every cycle.

  Next, the control configuration of the control device 30 will be described. As illustrated in FIG. 2, the control device 30 includes an input unit 310, a CPU 320, a display unit 330, a transmission / reception unit 340, and a storage unit 350.

  Among these, the input unit 310 is realized by various switches, dials, touch panels, and the like, for example, and outputs an operation signal corresponding to the operation input to the CPU 320. With the function of the input unit 310, input means such as a myoelectric potential measurement start instruction, a measurement end instruction, and an exercise mode setting are realized.

  Here, the exercise mode setting will be described. For example, three modes of short-term, medium-term, and long-term are set. The short-term mode is a mode that continuously measures from the start of measurement, assuming full power movement within 1 to 2 minutes, for example. Further, the medium-term mode is a mode in which, for example, an exercise of about 10 minutes is assumed, and measurement is repeatedly performed in a short time from the start of measurement. The long-term mode is a mode in which, for example, marathon is assumed, and measurement is repeated every 5 minutes, for example.

  The CPU 320 instructs each function unit in the control device 30 based on the program and data stored in the storage unit 350, the operation signal input from the input unit 310, the data transmitted from the myoelectric measurement device 10, and the like. And transfer of data, etc., and control of the control device 30 and the biological information measuring system 1 as a whole. In order to realize the present embodiment, the CPU 320 transmits a measurement start signal to each of the myoelectric measurement devices 10 and 10 when a measurement start instruction is input from the input unit 310, while each myoelectric measurement device 10 , 10 based on the measurement result transmitted from time to time, a muscle state display process for controlling the display of the display unit 330 is executed.

  In the present embodiment, the CPU 320 parallels the measurement result of the myoelectric potential measured by the myoelectric measurement device 10 and the muscle activity state measured based on the measurement result for each of the myoelectric measurement devices 10 and 10. Then, it functions as a display control means for controlling the display of the display unit 330 so as to display on the display unit 330.

  The display unit 330 is realized by a display device such as an LCD or LED, and the measurement result of the myoelectric potential measured by the myoelectric measurement device 10 in accordance with an instruction from the CPU 320, for example, the measured muscle activity state ( (Biological information) and the like are displayed.

  In the present embodiment, as described above, when the measurement results are sent from the myoelectric measurement device 10 attached to the left and right feet under the control of the CPU 320, the CPU 320 will be described as calculation means, as will be described later. The pedaling efficiencies of the left and right feet are calculated based on the measurement results sent from. For example, as shown in FIG. 11, the left and right foot pedaling efficiencies are displayed in parallel on the display unit 330 so that they can be compared and contrasted. As will be described later, the pedaling efficiency is higher as the value is smaller. In the case of FIG. 11, the pedaling efficiency of the left foot is 50% or less and the pedaling efficiency of the right foot is 50% or more. However, it can be seen that pedaling efficiency of the right foot is poor. The user can evaluate and train his own pedaling technique with reference to the difference in pedaling efficiency between the left and right feet.

  The transmission / reception unit 340 is a functional unit for performing wireless communication with the myoelectric measurement device 10, and for example, demodulates a signal transmitted from the myoelectric measurement device 10 via an antenna (not shown) and outputs the demodulated signal to the CPU 320. At the same time, the control signal input from the CPU 320 is modulated and amplified and transmitted to the control device 30 via the antenna.

The storage unit 350 is realized by an IC memory such as a ROM or a RAM, an information storage medium such as a hard disk and a reading device thereof, and stores a program for causing the CPU 320 to control the control device 30. FIG. 5 is a diagram showing a specific configuration example of the storage unit 350. In order to realize this embodiment, a muscle state display program for executing the above-described muscle state display process is displayed in the muscle state display program area 351. Stored. Further, as the data, muscle state data, pedaling efficiency data, and average pedaling efficiency data are stored in a muscle state data area 353, a pedaling efficiency data area 355, and an average pedaling efficiency data area 357, respectively.
Stored.

  The muscle state data area 353 is prepared for each myoelectric measurement device 10 and stores the measurement results transmitted from the corresponding myoelectric measurement device 10. FIG. 6 is a diagram illustrating a data configuration example of the muscle state data area 353. As shown in the figure, in the muscle state data area 353, the number of pedaling times, the muscle strength duration (Tv), the myoelectric generation interval (Tsyc), the rectified average value (ARV), and the average frequency (MPF) as measurement results are displayed. ) Are stored in association with the number of pedaling times assigned in the order of reception.

  The pedaling efficiency data area 355 is prepared for each myoelectric measurement device 10 and stores pedaling efficiency that is activity efficiency calculated based on the measurement result transmitted from the corresponding myoelectric measurement device 10. The calculation formula (1) for pedaling efficiency is shown below.

Pedaling efficiency = (muscle strength duration (Tv) / myoelectric generation interval (Tsyc)) × 100
... (1)

  That is, the pedaling efficiency is a value indicating the ratio of the time when the muscles actually act to one pedaling time. The smaller the value, the higher the pedaling efficiency. The reciprocal number may be used as pedaling efficiency. In this case, the larger the value, the higher the pedaling efficiency.

  FIG. 7 is a diagram schematically showing the data contents of the pedaling efficiency data area 355. In FIG. 7, pedaling efficiency data based on the measurement result of the myoelectric measurement device 10 for the left foot is shown on the left side, and the data for the right foot is shown. Pedaling efficiency data based on the measurement result of the myoelectric measurement device 10 is shown on the right side. As shown in FIG. 7, the pedaling efficiency data area 355 stores the pedaling efficiency calculated by the above-described calculation formula (1) in association with the number of times of pedaling.

The average pedaling efficiency data area 357 is prepared for each myoelectric measurement device 10 and stores an average value of pedaling efficiency obtained by one cycling exercise. FIG. 8 is a diagram schematically showing the data contents of the average pedaling efficiency data area 357. In FIG. 8, the average pedaling efficiency data based on the left foot pedaling efficiency data is shown on the left side, and the pedaling efficiency data on the right foot is shown. Based on the average pedaling efficiency data is shown on the right. In this average pedaling efficiency data area 357, the current average pedaling efficiency of the current cycling exercise is updated and stored as needed based on the pedaling efficiency data, and the average finally obtained in the past cycling exercise is stored. The pedaling efficiency is stored. That is, for example, if a cycling exercise is currently being performed, the average pedaling efficiency related to the cycling exercise (the seventh cycling exercise in FIG. 8) is updated for each pedaling.
[Process flow]

  Next, the flow of processing in the myoelectric measurement device 10 and the control device 30 will be described with reference to FIGS. 9 and 10. In the processing described here, the CPU 120 of the electromyography apparatus 10 reads out and executes the muscle condition measurement program from the muscle condition measurement program area 141, and the CPU 320 of the controller 30 displays the muscle condition display from the muscle condition display program area 351. This process is realized by reading and executing the program, and is terminated when a measurement end instruction is input from the input unit 310 in the control device 30 or when a predetermined time has elapsed based on the program.

  That is, first, when a measurement start instruction is input from the input unit 310 in the control device 30 (step a1), the CPU 320 transmits a measurement start signal to each of the myoelectric measurement devices 10 and 10 (step a2). .

  In response to this, in the myoelectric measurement device 10, the CPU 120 executes a muscle state measurement process. That is, if CPU120 receives a measurement start signal (step b1), it will start the measurement of the myoelectric potential by the measurement part 110 (step b2).

  Then, the CPU 120 compares the myoelectric potential value continuously measured by the measurement unit 110 with the reference value. When the measured value (eg, amplitude) of the myoelectric potential is equal to or higher than the reference value (step b3: YES), the CPU 120 stores the time in the muscle activity start timing (ta) area 143 (step b4). ).

  In this case, the CPU 120 starts storing the myoelectric potential from the muscle activity start timing (ta) and stores it in the myoelectric generation data area 142 of the storage unit 140 (step b5). Further, the CPU 120 monitors changes in the measured myoelectric potential, and when the myoelectric potential value (for example, amplitude) becomes less than the reference value (step b6: YES), the CPU 120 described above with reference to FIG. As described above, it is determined whether or not the value of the myoelectric potential measured from the time point until the predetermined time (Ts) elapses remains below the reference value. Then, the CPU 120 determines that the muscle activity has ended if it remains below (step b7: YES), and stores the time point when it is less than the reference value determined in step b6 in the muscle activity end timing (tb) area 144 ( Step b8), the time from the muscle activity start timing (ta) stored in the muscle activity start timing (ta) area 143 to the muscle activity end timing (tb) stored in the muscle activity end timing (tb) area 144 Is calculated as the muscle strength duration (Tv) (step b9) and stored in the muscle strength duration (Tv) area 145 of the storage unit 140.

  When the value of the myoelectric potential measured by the measuring unit 110 becomes equal to or higher than the reference value again (step b10: YES), the CPU 120 returns to step b4 to obtain the myoelectric potential for the next pedaling, and the reference The time when the value becomes equal to or greater than the value is set as the next muscle activity start timing (ta), and the next pedaling measurement is performed through steps b4 to b10.

  On the other hand, when the value of the myoelectric potential measured by the measuring unit 110 in step b10 becomes equal to or higher than the reference value (step b10: YES), the CPU 120 finishes storing the previous myoelectric potential (step b11). The CPU 120 updates the pedaling count (step b12), and the CPU 120 determines the time from the muscle activity start timing (ta) to the muscle activity end timing (tb) determined in step b4 to the myoelectric generation interval (Tsyc). (Step b13), and the calculation result is stored in the myoelectric generation interval (Tsyc) area 146. Next, the CPU 120 calculates a rectified average value (ARV) and an average frequency (MPF) based on the obtained myoelectric generation data in the current pedaling (step b14), and the rectified average value (ARV) of the storage unit 140. The data is stored in the area 148 and the average frequency (MPF) area 149, respectively.

  Subsequently, the CPU 120 determines each of the muscle strength duration (Tv) calculated in step b9, the myoelectric generation interval (Tsyc) calculated in step b13, the rectified average value (ARV) and the average frequency (MPF) calculated in step b14. The value is associated with the number of pedaling updated in step b12 and transmitted to the control device 30 as a measurement result (step b15).

  On the other hand, in the control device 30, when receiving the measurement result (step a3), the CPU 320 adds the received measurement result to the muscle state data area 353 for the myoelectric measurement device 10 that has transmitted the measurement result. Store (step a4). That is, the measurement result received from the left foot myoelectric measurement device 10 is added to the left foot muscle state data area 353 and stored, and the measurement result received from the right foot myoelectric measurement device 10 is stored as the right foot muscle state. The data area 353 is additionally stored.

  Subsequently, the CPU 320 calculates pedaling efficiency (step a5). Specifically, each value of muscle strength duration (Tv) and myoelectric generation interval (Tsyc) is read from the measurement result added to the muscle state data area 353 in step a40. Then, the pedaling efficiency is calculated according to the above-described calculation formula (1), and the processing of adding the stored pedaling efficiency data to the pedaling efficiency data area 355 in association with the number of pedaling times is performed for each of the left foot and the right foot.

  Subsequently, the CPU 320 calculates the average pedaling efficiency (step a6). That is, a process of calculating an average value of pedaling efficiency stored in the pedaling efficiency data area 355 as an average pedaling efficiency related to the current cycling exercise and updating the average pedaling efficiency data stored in the average pedaling efficiency data area 357 Repeat for each left foot and right foot.

  Then, the CPU 320 controls the display of the display unit 330 so as to display in parallel for each of the myoelectric measurement devices 10 and 10 based on the muscle state data, pedaling efficiency data, and average pedaling efficiency data. (Step a7).

  For example, the CPU 320 sets the horizontal axis of the graph to be displayed on the display unit 330 so as to have a display cycle according to the set exercise mode, muscle strength duration (Tv), myoelectric generation interval (Tsyc), rectification Changes over time in the average value (ARV), average frequency (MPF), pedaling efficiency, and average pedaling efficiency related to the current cycling exercise are displayed on the display unit 330 in a graph by contrasting the left foot and the right foot. Moreover, it is good also as displaying the average pedaling efficiency which concerns on the past cycling exercise on a graph together with the average pedaling efficiency which concerns on this cycling exercise, for example, making a graph display comparing with a left foot and a right foot.

According to this, it is possible to measure the information about the degree of tension of both feet and muscle fatigue measured based on the myoelectric potential for each pedaling and present it to the user. Moreover, since each value of pedaling efficiency and average pedaling efficiency can be calculated for each pedaling and presented to the user, the user can exercise while referring to these values for pace distribution.
Further, if the left and right feet are compared and displayed in a graph as described above, the user can easily grasp the left-right symmetry (balance, etc.).

  Furthermore, the CPU 320 determines whether or not the next measurement result has been received (step a8). If the next measurement result has been received (step a8: YES), the CPU 320 repeats the processing from step a3 to step a7, The display unit 330 displays the measurement results acquired in the above alongside the previously displayed measurement results. On the other hand, when the next measurement result has not been received (step a8: NO), the CPU 320 ends the muscle state display process.

  As described above, according to the present embodiment, the myoelectric measurement device 10 attached to each part of the body measures the muscle state of the corresponding part based on the measured myoelectric potential, and the control device 30 updates and displays as needed. can do. At this time, for example, when the myoelectric measurement devices 10 are respectively attached to the right foot and the left foot, the measurement results obtained by these myoelectric measurement devices 10 are parallelized for each of the myoelectric measurement devices 10 and 10. And display. In this way, the measurement result of the myoelectric potential measured at each part of the body can be displayed in comparison, so that the user can exercise while referring to the difference in the muscle state of each part, the balance of pedaling efficiency, and the like. .

  In the embodiment described above, the case where the myoelectric potential during cycling exercise is measured has been described as an example. However, the present invention can be similarly applied to the case where the myoelectric potential during other exercises such as walking, jogging, or marathon is measured. It is.

  In the above-described embodiment, the case where the myoelectric measurement device 10 is attached to two locations of the outer vastus muscles of both legs and the myoelectric potential is measured has been described. For example, other leg muscles such as rectus femoris, biceps femoris, and soleus, and arm muscles such as biceps and triceps Needless to say, it may be attached to another muscle whose condition is to be measured. The number of places where the electromyography measuring device 10 is attached is not limited to two, and the myoelectric measurement device 10 may be attached to more places so that the muscle states of a plurality of body parts can be displayed in parallel on the display unit. Good.

  Further, in the present embodiment, as shown in FIG. 11, the left and right pedaling efficiencies for each pedaling can be compared, but the average value of the pedaling efficiencies of the left and right pedaling is displayed on the display unit 330. The difference in pedaling efficiency between the left and right in pedaling for a certain period may be compared. For example, the difference in left and right pedaling efficiency in a day of pedaling may be displayed as a single graph so that when the next exercise is performed, it can be compared whether or not the pedaling efficiency has been improved. .

  Furthermore, the control device 30 may be configured as follows. That is, the muscle state data, pedaling efficiency data, and average pedaling efficiency data stored in the storage unit 350 are stored in a portable information storage medium such as a memory card so that they can be used outside a personal computer or the like. It is good also as a structure. Or it is good also as providing the function part for transmitting each above-mentioned data outside.

  Moreover, in order to implement | achieve the transmission / reception parts 130 and 340 cheaply, the said exercise mode can be set with each myoelectric measurement apparatus 10, and the myoelectric measurement apparatus 10 has only a transmission function among transmission / reception functions, On the other hand The device 30 may be configured to have only a reception function among the transmission / reception functions. In this case, an input unit is required on the myoelectric measurement device 10 side.

  Further, in order to easily compare the measurement result of the current display with the previous measurement result, for example, the control device 30 displays the color by changing the color according to the next increase / decrease in pitch with respect to the previous pitch (cycle). You may make it do. For example, “red” when the pitch increases, “green” when the pitch decreases, and “yellow” when there is no change.

  Further, a means for inputting an intention to increase or decrease with respect to the current pitch (cycle) may be provided, and the controller 30 may display a pitch that gradually increases or decreases based on the current pitch. Alternatively, in addition to this, according to the change state of the detected pitch, the pitch timing may be displayed with an increase or decrease in the designated direction.

  Moreover, in this embodiment, although the system provided with the myoelectric measurement apparatus 10 and the control apparatus 30 as separate bodies was demonstrated, by the measurement of the biometric information by the several measurement means which measures myoelectric potential, and a measurement means, A living body comprising a display means for displaying the measurement results obtained over time and a display control means for controlling the display of the display means so as to display the measurement results in parallel for each measurement means. It may be an information measuring device.

It is a figure which shows the usage example of the biometric information measurement system of this invention. It is a block diagram which shows an example of the control structure of the myoelectric measurement apparatus and control apparatus which comprise the biological information measurement system of this invention. FIG. 3A and FIG. 3B are diagrams showing examples of the myoelectric waveforms of the left foot and the right foot. It is a figure which shows the structural example of the memory | storage part of an myoelectric measurement apparatus. It is a figure which shows the specific structural example of the memory | storage part of a control apparatus. It is a figure which shows the data structural example of muscle state data. It is the figure which showed typically the data content of pedaling efficiency data. It is the figure which showed typically the data content of average pedaling efficiency data. It is a flowchart for demonstrating the flow of a process in a myoelectric measurement apparatus and a control apparatus. It is a flowchart for demonstrating the flow of a process in a myoelectric measurement apparatus and a control apparatus. It is the figure which showed an example of the graph displayed on a display part.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Biological information measurement system 10 Myoelectric measurement apparatus 110 Measuring part 111 Electrode 112 Impedance converter 113 Amplifier 114 Filter 115 A / D converter 120 CPU
130 Transmission / Reception Unit 140 Storage Unit 30 Control Device 310 Input Unit 320 CPU
330 Display Unit 340 Transmission / Reception Unit 350 Storage Unit

Claims (4)

A plurality of measuring means for continuously measuring biological information of a predetermined part of the human body;
Display means for displaying the measurement results obtained by measuring biological information by the plurality of measurement means over time;
And a display control means for controlling the display of the display means so as to display the measurement result in parallel for each of the measurement means. Detection means for detecting an activity start time and an activity end time of the predetermined part based on measurement values measured by the plurality of measurement means;
Based on the activity time from the activity start time to the activity end time detected by the detection means and the activity interval from the activity start time to the detection of the next activity start time by the detection means, the activity efficiency is determined. Calculating means for calculating,
The biological information measuring apparatus according to claim 1, wherein the display control unit controls the display unit to display the activity efficiency calculated by the calculation unit in parallel for each of the measurement units.   The detecting means has a comparing means for comparing the measured value measured by the measuring means with a predetermined reference value, and the time when the measured value is equal to or higher than the predetermined reference value is set as the activity start time, and the activity start The biological information measuring apparatus according to claim 1, wherein a time point that is less than the predetermined reference value after the time point is detected as an activity end time point. A biological information measurement system comprising a plurality of measurement devices that measure biological information of a predetermined part of a human body and a control device that displays measurement results obtained by measuring biological information by the plurality of measurement devices over time. And
The controller is
Display means for displaying, over time, measurement results obtained by measuring biological information in the plurality of measuring devices;
A biological information measurement system comprising: display control means for controlling display of the display means so as to display the measurement result in parallel for each of the measurement devices.

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