CN114469039A - Heart rate sensor and heart rate numerical calculation method - Google Patents
Heart rate sensor and heart rate numerical calculation method Download PDFInfo
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- CN114469039A CN114469039A CN202210127911.5A CN202210127911A CN114469039A CN 114469039 A CN114469039 A CN 114469039A CN 202210127911 A CN202210127911 A CN 202210127911A CN 114469039 A CN114469039 A CN 114469039A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention relates to the technical field of heart rate sensors, in particular to a heart rate sensor which comprises an acceleration sensor, a control module and a data processing module. Need not install conductive electrode and other rhythm of the heart detection module and detect electrocardiosignal, also be difficult for receiving external disturbance if the human body produces sweat and can influence the resistance in rhythm of the heart area, influence electrocardiosignal's transmission, influence accurate rhythm of the heart calculation, the practicality is strong. In addition, the invention also provides a heart rate numerical value calculation method based on the heart rate sensor, and the calculation method is simple and practical.
Description
Technical Field
The invention relates to the technical field of heart rate sensors, in particular to a heart rate sensor and a heart rate numerical calculation method.
Background
The traditional heart rate belt heart rate acquisition and processing method generally adopts an electrocardio monitoring instrument to detect, and realizes heart rate numerical calculation by acquiring electrocardiosignals of a human body and identifying heartbeats according to signal waveforms. However, the conductive electrodes need to be manufactured on the heart rate belt, and the manufacturing process of the heart rate belt is complex and high in cost. When a human body sweats, the resistance changes after the heart rate belt is soaked by sweat, the transmission of electrocardiosignals is influenced, and the heart rate numerical value is inaccurate. In addition, the conventional heart rate belt cannot accurately measure the heart rate of a person equipped with a cardiac pacemaker. Therefore, the existing heart rate detection method is complex and is easily interfered by various uncontrollable conditions such as myoelectricity interference, motion interference, electrode contact interference, external electric equipment interference and the like, and the prior art needs to be further improved.
Disclosure of Invention
The invention aims to provide a heart rate sensor and a heart rate numerical calculation method, so as to solve the problems in the prior art in the background technology.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
on one hand, the invention provides a heart rate sensor which comprises two acceleration sensors and a control module, wherein the two acceleration sensors are provided with gaps, are arranged on the same side of the heart and are used for collecting the acceleration data generated by the heartbeat of the human body and the motion of the human body; the control module is electrically connected with the acceleration sensors and configures the two acceleration sensors to be in the same working state; and the control module performs coupling processing and filtering processing on the two acceleration data to obtain a heart rate numerical value.
On the basis of the technical scheme, the control module is set as an MCU.
On the other hand, the invention also provides a heart rate numerical calculation method, which comprises the following steps:
step one, a standby state; setting two acceleration sensors positioned on one side of the heart to be in a low-frequency working state; if the difference value of the two adjacent data of any one acceleration sensor is larger than a set threshold value, the heart rate sensor automatically switches to a normal working state;
step two, setting a working state; the control module sets the two acceleration sensors to be in the same high-frequency working state;
step three, data acquisition; the acceleration sensors mainly collect acceleration data generated by heart beating and human body movement, wherein two different acceleration data, namely acceleration data I and acceleration data II, are obtained due to different distances between the two acceleration sensors and the heart;
step four, data processing and analysis; coupling and filtering the acceleration data I and the acceleration data II obtained in the third step to obtain acceleration waveform data caused by heartbeat, and finally extracting the frequency and the peak value of the obtained waveform data to obtain a heart rate numerical value;
step five, finishing the judgment of the working state; when the difference value between the current value and the previous value of any one acceleration sensor is smaller than the set threshold value and is kept for a certain time, the control module judges that the heart rate sensor is taken down, and the control module finishes working and enters a standby state.
On the basis of the technical scheme, in the first step, the acceleration sensors are all arranged on the same side of the heart and are positioned on the same horizontal line with the heart.
On the basis of the technical scheme, the data acquisition in the third step is mainly used for collecting the change of the acceleration value vertical to the acceleration sensor, namely in the Z-axis direction.
On the basis of the technical scheme, the data processing in the fourth step is to subtract the Z-axis numerical value in the acceleration data I and the acceleration data II, eliminate the human body translational motion noise, and simultaneously reserve the cardiac beat and the acceleration data caused by the human body rotation to obtain the data III.
On the basis of the technical scheme, the data III is subjected to band-pass filtering in the fourth step, acceleration data change caused by human body rotation motion is eliminated, and a heart rate waveform is obtained after filtering.
The technical scheme provided by the invention has the beneficial effects that:
the heart rate measuring device is simple in structure, only two acceleration sensors are used on a common heart rate belt to collect heartbeat of a human body and heartbeat acceleration data generated in the motion process, and then the data of the two acceleration sensors are subjected to coupling processing and filtering processing to indirectly calculate the heart rate value. Need not install conductive electrode and other rhythm of the heart detection module and detect electrocardiosignal, also be difficult for receiving external disturbance if the human body produces sweat and can influence the resistance in rhythm of the heart area, influence electrocardiosignal's transmission, influence accurate rhythm of the heart calculation, the practicality is strong. In addition, the invention also provides a heart rate numerical value calculation method based on the heart rate sensor, and the calculation method is simple and practical.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of the position structure of the acceleration sensor in the present invention;
FIG. 3 is a waveform diagram of acceleration data I according to the present invention;
FIG. 4 is a waveform diagram of acceleration data II according to the present invention;
FIG. 5 is a schematic diagram of waveforms obtained by subtracting acceleration data I and acceleration data II;
FIG. 6 is a waveform illustrating a heart rate value according to the present invention;
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
in the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, it is to be understood that the terms "left", "right", "front", "back", "top", "bottom", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
As shown in fig. 1 to 6, on one hand, the invention provides a heart rate sensor, which includes two acceleration sensors and a control module, wherein the two acceleration sensors are provided with a gap, and the acceleration sensors are both arranged on the same side of the heart and used for collecting the acceleration data generated by the heartbeat of the human body and the motion of the human body; the control module is electrically connected with the acceleration sensors and configures the two acceleration sensors to be in the same working state; and the control module performs coupling processing and filtering processing on the two acceleration data to obtain a heart rate numerical value. The acceleration sensor is available from the prior art, and particularly an acceleration sensor of the type LIS2DH12 can be used. Specifically, the band-pass frequency of the band-pass filtering is 7Hz-20 Hz.
On the basis of the technical scheme, the control module is set as an MCU.
The heart rate measuring device is simple in structure, only two acceleration sensors are used on a common heart rate belt to collect heartbeat of a human body and heartbeat acceleration data generated in the motion process, and then the data of the two acceleration sensors are subjected to coupling processing and filtering processing to indirectly calculate the heart rate value. Need not install conductive electrode and other rhythm of the heart detection module and detect electrocardiosignal, also be difficult for receiving external disturbance if the human body produces sweat and can influence rhythm of the heart sensor's resistance, can influence electrocardiosignal's transmission to influence accurate rhythm of the heart and calculate, the practicality is stronger.
On the other hand, the invention also provides a heart rate numerical calculation method, which comprises the following steps:
step one, a standby state; setting two acceleration sensors positioned on one side of the heart to be in a low-frequency working state; if the difference value of the two adjacent data of any one acceleration sensor is larger than a set threshold value, the heart rate sensor automatically switches to a normal working state;
on the basis of the technical scheme, in the first step, the acceleration sensors are all arranged on the same side of the heart and are positioned on the same horizontal line with the heart. The wearing positions of the two acceleration sensors are shown in fig. 2, namely, the acceleration sensors are both arranged on one side horizontal to the heart; and not at the two symmetrical sides of the heart, because when the acceleration sensors are symmetrically arranged at the two sides of the heart, the influence of the beating of the heart on the two acceleration sensors is relatively close, and the heart rate calculation cannot be finally carried out.
Step two, setting a working state; the control module sets the two acceleration sensors to be in the same high-frequency working state; the high-frequency or low-frequency operating state refers to the number of samples output by the acceleration sensor per second. Wherein the low frequency operating condition: the acceleration sensor is low in sampling frequency (lower than 1Hz) and low in power consumption, the low power consumption mainly aims at saving electricity, the state mainly aims at detecting wearing information, and if the numerical difference between two sampling times is large, the wearing success of the heart rate belt is judged; and (3) high-frequency working state: the acceleration sensor has higher sampling frequency and is mainly used for collecting the vibration waveform of heartbeat.
Step three, data acquisition; the acceleration sensors mainly collect acceleration data generated by heart beating and human body movement, wherein two different acceleration data, namely acceleration data I and acceleration data II, are obtained due to different distances between the two acceleration sensors and the heart; on the basis of the technical scheme, the data acquisition in the third step is mainly used for collecting the change of the acceleration value vertical to the acceleration sensor, namely in the Z-axis direction.
Specifically, wearing positions of the acceleration sensors and the heart on the heart rate sensor are shown in fig. 2, the two acceleration sensors are both fixedly mounted on the PCB, wherein a circle represents the heart position, a rectangle represents the PCB and is provided with the two acceleration sensors; the two acceleration sensors are arranged at one side position of the heart, as shown at the left side of the heart; the two electrodes are not arranged on two symmetrical sides of the heart, as shown below the heart, wherein the beating of the heart mainly causes the change of acceleration values vertical to a PCB (printed Circuit Board), namely Z-axis values, and the change of Z-axis data is also caused by the movement of a human body. The acceleration data I and the acceleration data II are shown in fig. 3 and 4.
Step four, data processing and analysis; coupling and filtering the acceleration data I and the acceleration data II obtained in the third step to obtain acceleration waveform data caused by heartbeat, and finally extracting the frequency and the peak value of the obtained waveform data to obtain a heart rate numerical value; on the basis of the technical scheme, the data processing in the fourth step is to subtract the Z-axis numerical value in the acceleration data I and the acceleration data II to eliminate the human body translational motion noise, and simultaneously, the heart beat and the acceleration data caused by the human body rotation are retained to obtain data III, as shown in fig. 5; and then, on the basis of the technical scheme, performing band-pass filtering on the data III in the fourth step to eliminate the acceleration data change caused by the human body rotation motion, and obtaining a heart rate waveform after filtering, wherein the heart rate waveform is shown in fig. 6.
In fig. 3 to 6, the abscissa and ordinate indicate: the abscissa represents the magnitude of the acceleration, without unit; the ordinate represents the number of acceleration values.
Step five, finishing the judgment of the working state; when the difference value between the current value and the previous value of any one acceleration sensor is smaller than the set threshold value and is kept for a certain time (10s), the control module judges that the heart rate sensor is taken down, and the control module finishes working and enters a standby state, namely a low-frequency working state.
In the application, the heart rate sensor generates acceleration data when the heart beats in the using process, and the control module MCU can read the value of the acceleration sensor through the acceleration sensor; because the two acceleration sensors are not arranged at the symmetrical positions of the heart, the acceleration amplitude values caused by the same heartbeat are different, and different acceleration data I and acceleration data II are generated; meanwhile, the motion of the human body also causes the acceleration sensor to have data signals to be output: acceleration data change caused by the translation motion of the human body can be counteracted by subtracting Z-axis values on the two acceleration sensors; acceleration data changes caused by the rotation motion of the human body can be removed through band-pass filtering; and finally, calculating by the MCU through the two characteristics of the frequency and the peak value on the processed heart rate waveform to obtain a heart rate numerical value.
Having shown and described the basic principles and essential features of the invention, it will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the same is thus to be considered as illustrative and not restrictive in character, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (7)
1. The heart rate sensor is characterized by comprising two acceleration sensors and a control module, wherein the two acceleration sensors are provided with gaps, are arranged on the same side of the heart and are used for collecting acceleration data generated by the heartbeat of the human body and the motion of the human body; the control module is electrically connected with the acceleration sensors and configures the two acceleration sensors to be in the same working state; and the control module performs coupling processing and filtering processing on the two acceleration data to obtain a heart rate numerical value.
2. A heart rate sensor according to claim 1, wherein the control module is configured as an MCU micro control unit.
3. A heart rate value calculation method based on the heart rate sensor according to claim 1 or 2, characterized by comprising the steps of:
step one, a standby state; setting two acceleration sensors positioned on one side of the heart to be in a low-frequency working state; if the difference value of the two adjacent data of any one acceleration sensor is larger than a set threshold value, the heart rate sensor automatically switches to a normal working state;
step two, setting a working state; the control module sets the two acceleration sensors to be in the same high-frequency working state;
step three, data acquisition; the acceleration sensors mainly collect acceleration data generated by heart beating and human body movement, wherein two different acceleration data, namely acceleration data I and acceleration data II, are obtained due to different distances between the two acceleration sensors and the heart;
step four, data processing and analysis; coupling and filtering the acceleration data I and the acceleration data II obtained in the third step to obtain acceleration waveform data caused by heartbeat, and finally extracting the frequency and the peak value of the obtained waveform data to obtain a heart rate numerical value;
step five, finishing the judgment of the working state; when the difference value between the current value and the previous value of any one acceleration sensor is smaller than the set threshold value and is kept for a certain time, the control module judges that the heart rate sensor is taken down, and the control module finishes working and enters a standby state.
4. A heart rate value calculation method as claimed in claim 3, wherein in the first step, the acceleration sensors are all disposed on the same side of the heart and on the same horizontal line with the heart.
5. A heart rate value calculation method as claimed in claim 3, wherein the data acquisition in the third step is mainly to collect the variation of the acceleration value in the direction perpendicular to the acceleration sensor, i.e. the Z-axis.
6. The method for calculating the heart rate value according to claim 3, wherein the data processing in the fourth step is to subtract the Z-axis value in the acceleration data I and the acceleration data II to eliminate the human body translational motion noise, and meanwhile, the acceleration data caused by the heart beating and the human body rotation is retained to obtain the data III.
7. The method according to claim 6, wherein in the fourth step, the data III is subjected to band-pass filtering to eliminate the acceleration data change caused by the human body rotation motion, and a heart rate waveform is obtained after filtering.
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