JP2006061416A - Biopotential sensing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a biopotential sensing system capable of reducing an effect of body motion on biopotential sensing data of a subject to be measured and also capable of analyzing the amount of activity of the subject to be measured in relation to biopotential waveforms. <P>SOLUTION: This biopotential sensing system comprises an external arithmetic unit and a user terminal carried by the subject to be measured. The user terminal has a body motion sensing means installed on the subject to be measured for sensing the biological motion state of the subject to be measured on the basis of body motion, a biopotential sensing means installed on the subject to be measured for sensing biological potential of the subject to be measured, a terminal arithmetic processing means having a sensed information processing function for acquiring the amount of activity of the subject to be measured on the basis of the biological motion state sensed by the body motion sensing means, and a memory means for correlating the biopotential and the amount of activity and for storing both the data. The external arithmetic unit has an external arithmetic means for inputting and analyzing the biopotential data stored in the memory means in order to acquire biopotential waveforms of the subject to be measured and an external display section for displaying the biopotential waveforms. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a biopotential detection system that can be worn and carried by a person to be measured and that can store data by detecting the amount of activity and biopotential of the person to be measured.

  Specialized knowledge is required to determine the presence or absence of various heart diseases from the electrocardiogram waveform, which is the bioelectric potential waveform of the measurement subject, and it is necessary for doctors and special medical technicians to correctly diagnose this. Limited to medical professionals. Therefore, in order to diagnose the heart disease of the measurement subject from the electrocardiogram waveform measured by the biopotential detection means, it is necessary to analyze data by a medical professional.

  On the other hand, it is not enough to measure biopotential waveforms at hospitals, etc., to detect ischemic attacks that occur during daily behavior and arrhythmias that occur in combination with this, and measure biopotential waveforms on a daily basis. It is necessary. This type of symptom is likely to occur during activities such as overloading exercises, so it is not only to measure the biopotential waveform of the subject under measurement in a relatively quiet state in the examination room. It is desirable to measure the biopotential waveform even when the measurement subject is active.

For this reason, by attaching a portable electrocardiogram measuring device, which is a bioelectric potential detection means, to the measurement subject and analyzing the electrocardiogram waveform measured while the measurement subject is active, Various heart diseases have been examined. This portable electrocardiogram measuring apparatus is disclosed in Japanese Patent Laid-Open Nos. 2003-24285 and 2003-52648.
JP 2003-24285 A JP 2003-52648 A

  However, in the portable electrocardiogram measuring device disclosed in the patent document, the measured electrocardiogram waveform may become unstable due to the body movement of the measurement subject. This is a phenomenon in which the detected bioelectric potential becomes unstable because the grounding state of the subject to be measured changes due to body movement during the activity. When this phenomenon occurs, the heart of the subject to be measured is normal. Even so, abnormal ECG waveforms were sometimes measured.

  In addition, the conventional electrocardiogram measurement apparatus cannot detect the activity state at the time of measuring the bioelectric potential waveform, and cannot make a diagnosis by associating the activity amount of the measurement subject with the bioelectric potential waveform. For this reason, it has not always been possible to accurately diagnose a disease in which the electrocardiogram waveform is abnormal during an overload exercise such as an ischemic attack.

  The present invention has been made in view of the above points, and the influence of the body movement on the detection data of the subject's bioelectric potential is small, and the activity amount of the subject and the biopotential waveform are associated with each other. An object of the present invention is to provide a biopotential detection system that can be analyzed.

  In order to achieve the above-described object, the bioelectric potential detection system of the present invention includes an external arithmetic device and a user terminal carried by the measurement subject, and the user terminal is attached to the measurement subject and measured. Body motion detecting means for detecting the biological activity state of the subject by body movement, biopotential detecting means for detecting the bioelectric potential of the subject to be measured, and body detected by the body motion detecting means Terminal computing processing means having a detection information processing function for obtaining an activity amount of the subject to be measured based on the motion detection information, and a storage means for storing the data of the both in association with the bioelectric potential and the activity amount. The external computing device has external computing means for analyzing the biopotential data stored in the storage means to obtain the bioelectric potential waveform of the measurement subject, and a display unit for displaying the bioelectric potential waveform. That features It is.

  The bioelectric potential detection system of the present invention comprises an external arithmetic device and a user terminal carried by the measurement subject, and the user terminal detects body movement detection means for detecting the biological activity state of the measurement subject by body movement. And storage means for associating the bioelectric potential with the amount of activity and storing the data of both, so that the body movement can be obtained by associating and analyzing the activity state of the measurement subject and the detection data of the bioelectric potential waveform. Can reduce the influence on the detection data.

(Embodiment 1)
The configuration and operation of the biopotential detection system according to the first embodiment of the present invention will be described with reference to FIGS. As shown in FIG. 1, the bioelectric potential detection system is configured by a user terminal 2 attached to a person to be measured 1 and a personal computer that is an external computing device 5. The user terminal 2 includes a terminal box 4 attached to the measurement subject 1 and electrodes 3a, 3b, 3c, 3d and 3e which are biopotential detection means for detecting the biopotential of the measurement subject 1. Yes.

  First, as shown in FIG. 1, the electrodes 3 a to 3 e are attached to five chest portions of the measurement subject 1. This electrode mounting method is a mounting method used for Holter electrocardiogram examination, and is effective for detecting an electrocardiogram during an arrhythmia or angina attack. There are various mounting means other than the electrode mounting means of the present embodiment, and other means may be used as necessary.

  The terminal box 4 has a structure that is attached to a belt worn by the person 1 to be measured, and is connected to the electrodes 3a to 3e by electric wires. Further, as shown in FIG. 2A, the terminal box 4 has a built-in triaxial acceleration sensor 6 which is a body motion detecting means. The terminal box 4 includes an amplification unit 7 that amplifies analog electrical signals from the electrodes 3a to 3e and the triaxial acceleration sensor 6, and a filter unit 8 that removes frequency components other than body movements from the amplified analog signal. An A / D converter 9 that converts this signal into digital, a terminal arithmetic processing unit 10 that is terminal arithmetic processing means for analyzing information data from the triaxial acceleration sensor 6 and the electrodes 3a to 3e, and a terminal arithmetic process An internal memory 11 and an SD card 12 which are storage means for storing the calculation results of the unit 10, a timer unit 13 for measuring time, an input operation unit 14 for inputting human body information of the measurement subject, and a measurement subject An event switch 15 which is a pain input means for inputting information when pain is recognized, a display section 16 for displaying the result, and a notification section 17 which is a notification means for generating a notification signal. To have.

  Further, as shown in FIG. 2 (b), the external computing device 5 which is a personal computer receives data from the SD card 12 of the terminal box 4 and stores the data in the storage unit 18, and this data is externally computed. A data I / O unit 19 to be transferred to the processing unit, an external arithmetic processing unit 20 which is an external arithmetic unit for analyzing this data, and an external display unit 21 for displaying the result are provided.

  The operation of this biopotential detection system will be described below. The person to be measured 1 inputs an ID (personal identification code), age, weight, and sex as personal data in advance to the input operation unit 14 of the terminal box 4. That is, the input operation unit 14 is an ID input unit that inputs an ID for recognizing the person 1 to be measured 1. This personal data is stored in the internal memory 11 and the SD card 12 through the terminal arithmetic processing unit 10. Next, as shown in FIG. 1, the electrodes 3a to 3e are attached to the chest of the measurement subject, and the terminal box 4 is attached to the waist belt.

  Then, the bioelectric potential by the electrodes 3a to 3e and the amount of activity by the triaxial acceleration sensor 6 are detected in a state where the measurement subject 1 is performing biological activities such as exercise for a predetermined time (for example, 24 hours). At this time, an electrocardiogram and an activity amount are obtained by subjecting each piece of data to computation processing by the terminal computation processing unit 10. First, the root mean square value of the combined acceleration in the triaxial direction is calculated from the data of the triaxial acceleration sensor 6. Further, the mean square value of the combined acceleration is converted into the energy metabolism rate RMR of the measurement subject. Here, it is known that the mean square value of the combined acceleration and the energy metabolism rate RMR of the measurement subject have a correlation as shown in FIG. By detecting the relationship between the two in advance, the mean square value of the resultant acceleration is converted into RMR and displayed. Here, it is known that RMR and the state of activity have a relationship as shown in Table 1. By displaying this RMR on the display unit 16, easy-to-understand data is displayed to the measurement subject. On the other hand, electrocardiogram data is obtained by computing the temporal change of the bioelectric potential in the terminal computation processing unit. Then, it is stored in the internal memory 11 and the SD card 12 and displayed as an electrocardiogram waveform on the display unit 16. That is, as shown in FIG. 5, the electrocardiogram waveform, RMR, and time are displayed on the display unit 16 in real time.

  Then, after a predetermined time has elapsed, the SD card 12 is taken out from the terminal box 4 and inserted into the external computing device 5 to input this data. From this result, as shown in FIG. 1, the electrocardiogram waveform, RMR, and detection time are reproduced and displayed on the external display unit 21. This result is analyzed by a medical professional (usually a doctor) to diagnose the symptoms of the measurement subject. As a specific example, as shown in FIG. 6 (a), a PR interval, a QRS interval, a QT interval, and an RR interval (one heartbeat) are generated for an electrocardiogram waveform including five waveforms P, Q, R, S, and T. Is within the predetermined range and the ST portion is at the base line portion, the heart of the measurement subject is diagnosed as normal. On the other hand, as shown in FIG. 6B, when the waveform of the electrocardiogram has an RR interval equal to or longer than a predetermined time and the ST portion continuously rises or falls, it is diagnosed that the heart is abnormal. . Here, since the user terminal 2 is attached to the body of the measurement subject 1, the baseline fluctuation may occur due to the body movement of the measurement subject 1. However, in the analysis result of the bioelectric potential detection system of this embodiment, RMR data of the same time as the electrocardiogram waveform of the measurement subject is stored. Therefore, a medical professional can discriminate between baseline fluctuations due to body movements and those due to cardiac abnormalities by analyzing the electrocardiogram waveform in consideration of RMR. In other words, even if the measurement subject's activity causes the ground potential to fluctuate and the ECG waveform becomes abnormal, if the measurement subject's heart is normal, the activity is stopped The ECG waveform returns to normal. Therefore, when the electrocardiogram waveform is abnormal only when active (RMR is greater than or equal to a predetermined value), it can be determined that the electrocardiogram waveform of the subject to be measured is normal due to a change due to body movement. . On the other hand, if the electrocardiogram waveform is abnormal even after the activity is stopped (RMR becomes less than the predetermined value), it is determined that the electrocardiogram waveform of the measurement subject is abnormal. In this way, it becomes possible for the subject to be measured to diagnose an abnormality of the electrocardiogram waveform even when there is a body movement with a relatively simple configuration without placing the grounding in a special state.

  Further, when the subject 1 is aware of pain in the heart or the like, the event switch 15 is operated to input this information, and the information and the operation time are combined and stored in the internal memory 11 and the SD card 12. Is done. By doing so, the medical professional can confirm the electrocardiogram waveform when pain is recognized.

  Here, the normal ECG waveform of the subject to be measured is stored in advance, and this is compared with the measured ECG, and the terminal arithmetic processing unit 10 determines that the abnormality is detected from the notification unit 17. A notification is issued to the person by a notification signal such as a notification sound. A flowchart of the operation at this time is shown in FIG. First, as shown in FIG. 3 (a), after inputting the human body information of the subject to be measured from the input operation unit 14, the normal ECG waveform is measured by the signals of the electrodes 3a to 3e, and this data is stored internally. Saved in the memory 11. Next, as shown in FIG. 3 (b), the activity state of the measurement subject is measured by the triaxial acceleration sensor 6, and an electrocardiogram is measured by the signals of the electrodes 3a to 3e. When the normal ECG waveform stored in the memory 11 is compared with the terminal arithmetic processing unit 10 and it is determined that there is an abnormality, a notification is issued from the notification unit 17. On the other hand, normally, as shown in FIG. 6, an electrocardiogram waveform and an activity amount RMR are displayed on the display unit 16. These data are stored in the internal memory 11 and the SD card 12 as time series data. In addition, when the subject to be measured is aware of pain and operates the event switch 17 and inputs this pain information, this information is also stored in the internal memory 11 and the SD card 12 together with the time. It is accumulated as series data. Thus, the biopotential detection system of this embodiment has a function of analyzing the biopotential data in the terminal arithmetic processing unit 10 to determine the health condition of the measurement subject. .

  Note that the biopotential detection system of the present embodiment also has a display unit in the terminal box, and the electrocardiogram waveform can be seen either on this display unit or on the external display unit of the external arithmetic device. There is no need to display the terminal box. In this case, the person to be measured cannot see the electrocardiogram waveform in real time, but the terminal box can be made smaller and less expensive.

  The bioelectric potential detection system of the present invention comprises an external arithmetic device and a user terminal carried by the measurement subject, and the user terminal detects body movement detecting means for detecting the biological activity state of the measurement subject by body movement, Storage means for associating the bioelectric potential with the amount of activity and temporarily storing the data of both, so that the activity state of the measurement subject and the measurement data of the bioelectric potential waveform can be correlated and analyzed, An abnormality of the heart can be determined without being affected by the electrocardiogram waveform data due to body movement.

  In addition, the biopotential detection system of the present embodiment is provided with a function for analyzing the biopotential data in the user terminal and determining the health condition of the measurement subject, so that there is no specialist such as a doctor. It is possible to easily diagnose own symptoms.

  Furthermore, the bioelectric potential detection system of the present embodiment includes a notification unit that issues a notification signal to the user terminal, and generates a notification signal when the health condition of the measurement subject is determined to be poor. This can be known to the person being measured when there is no abnormal heart condition. In this case, symptom deterioration can be prevented by stopping the activity or having a doctor or other specialist diagnose immediately.

  In addition, since the bioelectric potential detection system of the present embodiment is provided with a pain input means for inputting information to the user terminal when the subject to be measured feels pain, when the subject to be measured is aware of the pain. You can know the ECG waveform and make an accurate diagnosis.

In addition, since the bioelectric potential detection system according to the present embodiment includes ID input means for inputting an ID for recognizing the person to be measured on the user terminal, the data of a plurality of persons to be measured are transmitted from the external terminal. When performing arithmetic processing, data organization for each person to be measured is facilitated, and the possibility of misdiagnosis is reduced.
(Embodiment 2)
A biopotential detection system according to a second embodiment of the present invention will be described with reference to FIG. As shown in the block diagram of FIG. 7, the user terminal of the biopotential detection system of the present embodiment is substantially the same as that of the first embodiment, but the wireless communication unit 22 as signal transmission means is added. Is different.

  When the terminal calculation processing unit 10 of the user terminal 1 determines that the electrocardiogram of the measurement subject is abnormal, the notification unit 17 emits a notification sound and the wireless transmission unit 22 emits a radio signal. This wireless signal is notified to a medical professional such as a doctor through the Internet 23 that the electrocardiogram of the subject to be measured is abnormal. Then, particularly when the medical professional determines that the subject to be measured is dangerous, he / she immediately rushes to perform the treatment on the subject to be measured. Here, the radio electromagnetic noise does not affect the measuring device by turning off the power to the other devices of the terminal block 4 only during the time when the radio communication unit 22 issues a radio signal. Here, the other configurations and functions are the same as those of the first embodiment, and thus the description thereof is omitted.

The bioelectric potential detection system according to the present embodiment includes a signal transmission unit that emits a radio signal to the user terminal. When the terminal arithmetic processing unit determines that the health condition of the measurement subject is poor, the radio signal is transmitted. Therefore, a specialist such as a doctor can know the abnormality of the measurement subject in real time and can take urgent action. In particular, since the radio signal is generated only when the electrocardiogram waveform is abnormal, it is possible to prevent the influence on the biopotential detection system due to radio noise or the like.
(Embodiment 3)
A biopotential detection system according to a third embodiment of the present invention will be described with reference to FIGS. As shown in the overall configuration diagram of FIG. 8, the user terminal of the bioelectric potential detection system of this embodiment is substantially the same as that of the first embodiment, but a pulse wave detection probe 24, which is a pulse wave detection means, is added. Is different in that. The pulse wave detection probe 24 is a ring-shaped object attached to the finger of the measurement subject 1 and has a function of detecting the pulse wave of the measurement subject 1. Further, as shown in FIG. 9, the terminal block 4 includes an amplifying unit 7 that amplifies an electric signal from the pulse wave detection probe 24 and a pulse wave extracting unit 25 that extracts a pulse wave from the amplified electric signal. Has been. Then, the terminal arithmetic processing unit 10 performs arithmetic processing on the electrical signal data of the triaxial acceleration sensor 6, the electrodes 3a to 3e and the pulse wave detection probe 24 to obtain the activity amount, electrocardiogram and pulse wave data of the measurement subject. Derived simultaneously. Therefore, on the display unit 17 and the external display unit 21, pulse wave data can be simultaneously viewed together with the activity amount and electrocardiogram of the measurement subject.

  The bioelectric potential detection system according to the present embodiment includes pulse wave detection means for detecting the pulse wave of the measurement target person by attaching it to the user terminal of the measurement target person on the user terminal. The electrocardiogram waveform and the amount of activity can be detected together, and the medical professional can make a more accurate diagnosis.

1 is an overall configuration diagram of Embodiment 1. FIG. It is a block diagram same as the above, (a) is a user terminal, (b) is a block diagram of an external arithmetic unit. It is a flowchart for operation | movement description same as the above. It is explanatory drawing of the relationship between the active mass same as the above, and the square mean value of synthetic acceleration. It is an example of a display of the monitor of a display part same as the above. It is a schematic diagram of an electrocardiogram same as the above, (a) is an electrocardiogram at the time of normal, (b) is an electrocardiogram at the time of abnormality. It is a block diagram of the user terminal of Embodiment 2. FIG. 6 is an overall configuration diagram of Embodiment 3. It is a block diagram of a user terminal same as the above.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Person to be measured 2 User terminal 3a-e Electrode 4 Terminal box 5 External arithmetic unit 6 3-axis acceleration sensor 10 Arithmetic processing part 11 Internal memory 12 SD card 13 Timer part 14 Input operation part 15 Event switch 16 Display part 17 Notification part

Claims (7)

An external computing device and a user terminal carried by the person being measured,
The user terminal includes a body motion detection unit that is attached to the measurement subject and detects a biological activity state of the measurement subject by body movement, and a biopotential that is attached to the measurement subject and detects the biopotential of the measurement subject. A detection means, a terminal arithmetic processing means having a detection information processing function for obtaining an activity amount of the measurement subject based on a life activity state detected by the body motion detection means, and the bioelectric potential and the activity amount. Storage means for storing the data of both in association with each other,
The external computing device includes an external computing means for obtaining the bioelectric potential waveform of the measurement subject by inputting and analyzing the bioelectric potential data stored in the storage means, and an external display unit for displaying the bioelectric potential waveform And a biopotential detection system characterized by comprising:   The terminal calculation processing means of the user terminal has a function of analyzing the biopotential data detected by the biopotential detection means to determine the health condition of the measurement subject. Item 2. The biopotential detection system according to Item 1.   3. A notification means for issuing a notification signal to the user terminal, wherein the notification signal is generated when the terminal calculation processing means determines that the health condition of the subject to be measured is poor. The biopotential detection system described.   A signal transmitting means for emitting a radio signal to the user terminal is provided, and a radio signal is emitted when the terminal arithmetic processing means determines that the health condition of the subject to be measured is poor. The bioelectric potential detection system according to claim 2 or claim 3.   The bioelectric potential detection system according to any one of claims 1 to 4, further comprising a pain input unit configured to input to the user terminal when the subject to be measured is aware of pain.   The bioelectric potential detection system according to claim 1, further comprising an ID input unit configured to input an ID for recognizing the measurement target person to the user terminal.   7. The pulse wave detection means for detecting the pulse wave of the measurement subject by wearing it on the finger of the measurement subject on the user terminal. 8. Biopotential detection system.

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