CN110931127B

CN110931127B - Effective RRI value acquisition method, intelligent wearable electronic device and computer readable storage medium

Info

Publication number: CN110931127B
Application number: CN201911172899.4A
Authority: CN
Inventors: 陈洪太; 吴长凤; 闫荣辉
Original assignee: Cosonic Intelligent Technologies Co Ltd
Current assignee: Cosonic Intelligent Technologies Co Ltd
Priority date: 2019-11-26
Filing date: 2019-11-26
Publication date: 2023-09-12
Anticipated expiration: 2039-11-26
Also published as: CN110931127A

Abstract

The invention relates to an effective RRI value acquisition method, intelligent wearable electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: step A, collecting heart rate signals, and obtaining current heart rate peaks from the heart rate signals; and B, aiming at the current heart rate peak, if the last peak is normal and the interval duration between the current heart rate peak and the last peak is within a set interval threshold range, taking the interval duration as an effective RRI value. According to the invention, algorithm analysis is carried out on the collected heart rate signals, heart rate peaks are obtained from the heart rate signals, abnormal data are removed according to the state of the last peak of the heart rate peaks and the interval time between the last peak of the heart rate peaks, and effective RRI values are reserved for subsequent physiological health assessment of HRV, so that the accuracy of the physiological health assessment results is ensured.

Description

Effective RRI value acquisition method, intelligent wearable electronic device and computer readable storage medium

Technical Field

The invention relates to heart rate detection, in particular to an effective RRI value acquisition method, intelligent wearable electronic equipment and a computer readable storage medium.

Background

Most of the existing intelligent wearable electronic products such as headphones or bracelets are provided with heart rate sensors, which can realize basic heart rate value calculation, also can collect RRI values (namely interval duration between heart rate R waves), and acquire characteristic parameters of Heart Rate Variability (HRV) for physiological health assessment by performing time domain and frequency domain analysis on the RRI values.

The problem of the existing intelligent wearing type electronic product is that in the process of acquiring the RRI value, as the electronic product is worn on a user body, the sensor detects the shaking problem, the RRI signal is unstable and even abnormal, and the subsequent physiological health assessment result is affected.

Disclosure of Invention

The present invention aims to extract valid RRI values from the acquired heart rate signal for subsequent physiological health assessment of HRV.

For this purpose, an effective RRI value acquisition method is provided, including:

step A, collecting heart rate signals, and obtaining current heart rate peaks from the heart rate signals;

and B, aiming at the current heart rate peak, if the last peak is normal and the interval duration between the current heart rate peak and the last peak is within a set interval threshold range, taking the interval duration as an effective RRI value.

Further, in the step B, further including:

b1, marking the current heart rate crest as an absolute crest if the last crest of the current heart rate crest is abnormal, otherwise, acquiring the interval duration between the current heart rate crest and the last crest, marking the current heart rate crest as a relative crest if the interval duration is within a preset interval threshold range, otherwise, marking the current heart rate crest as an absolute crest;

and step B2, only acquiring the interval duration between the relative peak and the last peak as the effective RRI value.

Further, the method for judging the heart rate peak to be normal in the step B is as follows: if the peak height d1 of the heart rate peak is larger than the set height threshold value and the peak width t2 of the heart rate peak is smaller than the set width threshold value, the heart rate peak is considered to be normal, otherwise, the heart rate peak is considered to be abnormal.

Further, the peak height d1 is specifically the amplitude information of the heart rate peak; and/or the peak width t2 is specifically the difference between the moments corresponding to the height values of the left and right sides when the peak is lowered by two-thirds.

Further, in step B1, further comprising:

different crest type marks are respectively set for the absolute crest and the relative crest, and the occurrence time and the corresponding crest type mark of each absolute crest or relative crest are written into the RRI storage area.

Further, in step B1, further comprising: and starting timing from the moment of starting heart rate acquisition, if the timing time exceeds the set time, erasing the data in the RRI storage area, re-timing and updating the data in the RRI storage area again.

Further, in step B1, further comprising: and splitting the occurrence time of the absolute wave crest or the relative wave crest into integer multiples of the set time and recording the margin.

Further, the interval duration between the absolute peak and the previous peak is not calculated.

Still provide an intelligence and drew electronic equipment, wherein, this electronic equipment includes:

the heart rate sensor, the processor and the wireless communication module are electrically connected in sequence; the method comprises the steps of,

a memory arranged to store computer executable instructions which, when executed, cause the processor to perform a method according to the above.

There is also provided a computer readable storage medium storing one or more programs which, when executed by a controller, implement the above-described method.

The beneficial effects are that:

according to the invention, algorithm analysis is carried out on the collected heart rate signals, heart rate peaks are obtained from the heart rate signals, abnormal data are removed according to the state of the last peak of the heart rate peaks and the interval time between the last peak of the heart rate peaks, and effective RRI values are reserved for subsequent physiological health assessment of HRV, so that the accuracy of the physiological health assessment results is ensured.

The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

FIG. 1 illustrates a flow chart of an effective RRI value acquisition method of the invention;

FIG. 2 shows waveforms of heart rate peaks;

FIG. 3 shows a schematic structural diagram of the smart wearable electronic product of the present invention;

fig. 4 shows a schematic structural diagram of the electronic device of the present invention;

fig. 5 shows a schematic structure of a computer-readable storage medium of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

The generation reasons of invalid heart rate peaks are counted as follows:

(1) The signal is not periodically changed, and the amplitude is low;

(2) The wearing is performed but the contact of the acquisition points is poor, the amplitude of the acquired data is low, and the wearing angle can be readdressed again along with walking and shaking, regaining adjustment of the wearing angle and other reasons at the next moment, so that the wave crest is recovered to be normal;

(3) Starting from unused to used, wherein the acquired data is 0 in the previous time period, and then starting regular periodic waveform generation;

(4) The heart rate is abnormal, the acquired data of the situation is that the wave crest data of the previous period is good, the wave crest deviation value is large at a moment or continuously for a period of time suddenly, and then the normal range is gradually restored, in the whole process, the heart rate waveform intensity is large, the wave crest is narrow, and the interval duration is relatively large.

Based on the above statistical rule, the embodiment proposes an effective RRI value collection method as shown in fig. 1, which includes the following steps:

s101, filtering abnormal heart rate peaks

Specifically, referring to fig. 2, in the process of acquiring a heart rate signal, when one heart rate peak is acquired, it is determined whether the peak height d1 of the current heart rate peak is greater than a set height threshold and the peak width t2 is less than a set width threshold, if both are yes, the current heart rate peak is determined to be normal and step S102 is executed, otherwise, the current heart rate peak is determined to be abnormal and is removed.

In the above description, the peak height d1 is represented by the amplitude information of the current heart rate peak;

the peak width t2 is characterized by the difference between the times corresponding to the height values of the left and right sides when the peak is lowered by 2/3 height.

S102, marking absolute wave crest and relative wave crest

Specifically, judging whether the last peak of the current heart rate peak is abnormal, if so, marking the current heart rate peak as an absolute peak, and representing the beginning of a new recording moment; if not, further judging whether the interval duration t1 between the current heart rate peak and the last peak is within the set interval threshold range, when the interval duration t1 is within the interval threshold range, marking the current heart rate peak as a relative peak, wherein the relative peak is used for representing that the peak belongs to the same continuous time wave band range relative to the peak at the previous moment, and when the interval duration t1 is not within the interval threshold range, marking the current heart rate peak as an absolute peak.

S103, data storage is carried out on the absolute wave crest/relative wave crest

Specifically, the peak type flag of the absolute peak is set to 1, and the peak type flag of the relative peak is set to 0.

Taking a 1s time window as a set time, writing the occurrence time of an absolute peak or a relative peak and a corresponding peak type mark into an RRI storage area for data storage, wherein the occurrence time is split into integer multiples (i.e. whole second accumulation) of the set time and the allowance (i.e. 1s inner accumulation timing) for recording so as to save the memory space, and the storage format is as shown in the following table 1:

whole second accumulation (second)	1s cumulative timer (millisecond)	Crest type flag
			Number of seconds of time	T1	Flag(0/1)
Number of seconds of time	T2	Flag(0/1)
			Number of seconds of time	T3	Flag(0/1)
..	..	..

TABLE 1

It should be noted here that from the moment the heart rate measurement is started, timer counting starts, accumulation is performed in units of 1ms, if 1s is exceeded, data in the RRI storage area is erased, counting is performed again, and data in the RRI storage area is updated again and again.

The time-second table in the table above characterizes how many whole seconds have elapsed from the moment the current heart rate peak time interval is acquired to start counting, for example, 20s have elapsed, and then 20 is stored; t1, T2 …, etc. are cumulative counts within 1s, in milliseconds, ranging from 0 to 1000ms.

Since the normal heart rate data range of the human body is 60-100/min, multiple RRI values may be stored for a time window of 1 s.

S104, extracting effective RRI value from data storage

This step is illustrated by way of example with the data in table 2 below:

whole second accumulation (second)	1s cumulative timer (millisecond)	Crest type flag	Valid RRI value (millisecond)
				0	150	1	/
0	980	0	830(980-150)
				1	795	0	815(1795-980)
2	0	0	/
				3	358	1	/
3	970	0	612(3970-3358)
				4	613	0	643(4613-3970)
5	214	0	601(5214-4613)
				5	872	0	658(5872-5214)

TABLE 2

The data in the statistical table generated in step S103 is analyzed in time sequence, for example, table 2, and only the interval duration between the relative peak and the last peak is obtained from the table as the effective RRI value, which specifically includes:

if the encountered peak type is 1, the current heart rate peak is an absolute peak, and the previous peak is abnormal, the RRI value between the current heart rate peak and the previous peak is not calculated so as to avoid introducing errors;

if the encountered peak type is 0, the current heart rate peak is a relative peak, and the last peak is not abnormal, adding the whole seconds of the current heart rate peak to the 1s accumulated time corresponding to the current heart rate peak, and subtracting the whole seconds of the current heart rate peak from the 1s accumulated time corresponding to the last peak, thereby obtaining the interval duration between the current heart rate peak and the last peak as an effective RRI value;

if the accumulated time is 0 within 1s, which means that no data is stored, and the partial value is missing, the RRI value is not calculated, and the peak type of the next peak is rewritten to 1, so as to perform recounting.

It should be noted here that RRI values need to be read in time, otherwise, because of the value update per second, valid values of one second are covered, i.e. at least 1 reading per second needs to be guaranteed.

After obtaining the valid RRI values in the rightmost column of table 2, they can be used for physiological health assessment of HRV. Since the use of HRV for physiological health assessment is prior art and is not within the scope of the discussion herein, no expansion is made here.

The effective RRI value collection method of this embodiment may implement the following functions:

1. time accuracy is in 1ms as a basic unit;

2. carrying out algorithm analysis according to signals acquired by a heart rate sensor, providing two types of absolute peaks and relative peaks, effectively removing abnormal data according to the types, and reserving effective RRI values for subsequent physiological health assessment of HRV;

3. the RRI value is stored for multiple times by taking 1 second as a time window, so that the memory area is effectively utilized, and the duration of the time window can be prolonged to enlarge the storage range;

4. the RRI values are read in 1 second window length units, and multiple RRI values may be stored within a window.

The effective RRI value collection method of the embodiment is applied to intelligent wearable electronic devices such as headphones or a bracelet, wherein the intelligent wearable electronic device is shown in fig. 3 and comprises a heart rate sensor 11, a processor 12 and a wireless communication module 13 which are electrically connected in sequence, the processor 12 collects heart rate waveforms through the heart rate sensor 11 and then performs screening processing, effective RRI values are extracted from the heart rate waveforms, and then the heart rate waveforms are uploaded to a mobile terminal through a WIFI/BT communication mode to perform time-frequency domain analysis so as to obtain Heart Rate Variability (HRV) characteristic parameters for physiological health assessment.

It should be noted that:

in this embodiment, the height threshold, the width threshold, and the interval threshold may be selected according to a statistical rule, and 1000 person samples may be grabbed to perform data statistics to obtain the data statistics, or valid data collected during the first heart rate test of the user may be used as samples to obtain a statistical rule suitable for individuals.

The method according to the present embodiment can be implemented by being transferred to a program step and a device that can be stored in a computer storage medium, and being called and executed by a controller.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may also be used with the teachings herein. The required structure for the construction of such devices is apparent from the description above. In addition, the present invention is not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments.

Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functions of some or all of the components in an apparatus for detecting the wearing state of an electronic device according to an embodiment of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.

For example, fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device conventionally comprises a processor 41 and a memory 42 arranged to store computer executable instructions (program code). The memory 42 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. The memory 42 has a memory space 43 storing program code 44 for performing any of the method steps in the embodiments. For example, the memory space 43 for the program code may include individual program code 44 for implementing the various steps in the above method, respectively. The program code can be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. Such a computer program product is typically a computer readable storage medium as described for example in fig. 5. The computer readable storage medium may have memory segments, memory spaces, etc. arranged similarly to the memory 42 in the electronic device of fig. 4. The program code may be compressed, for example, in a suitable form. Typically, the memory unit stores program code 51 for performing the method steps according to the invention, i.e. program code readable by a processor such as 41, which when run by an electronic device causes the electronic device to perform the steps in the method described above.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.

Claims

1. The effective RRI value acquisition method is characterized by comprising the following steps:

step B, aiming at the current heart rate peak, if the last peak is normal and the interval duration between the current heart rate peak and the last peak is within a set interval threshold value range, taking the interval duration as an effective RRI value;

the method for judging the normal heart rate peak in the step B is as follows: if the peak height d1 of the heart rate peak is larger than the set height threshold value and the peak width t2 of the heart rate peak is smaller than the set width threshold value, the heart rate peak is considered to be normal, otherwise, the heart rate peak is considered to be abnormal;

in step B, further comprising:

b2, only acquiring the interval duration between the relative peak and the last peak as an effective RRI value;

in step B1, further comprising:

different crest type marks are respectively set for the absolute crest and the relative crest, and the occurrence time and the corresponding crest type mark of each absolute crest or relative crest are written into an RRI storage area;

starting timing from the moment of starting heart rate acquisition, if the timing time exceeds the set time, erasing data in the RRI storage area, re-timing and updating the data in the RRI storage area again;

and splitting the occurrence time of the absolute wave crest or the relative wave crest into integer multiples of the set time and recording the margin.

2. The method according to claim 1, characterized in that: the peak height d1 is specifically the amplitude information of the heart rate peak; and/or the peak width t2 is specifically the difference between the moments corresponding to the height values of the left and right sides when the peak is lowered by two-thirds.

3. The method of claim 1, wherein the duration of the interval between the absolute peak and the previous peak is not calculated.

4. An intelligent wearable electronic device, wherein the electronic device comprises:

a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any of claims 1-3.

5. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-3.