CN106491118A - Real-time rate calculation system and method based on the electrocardiograph of Android system - Google Patents
Real-time rate calculation system and method based on the electrocardiograph of Android system Download PDFInfo
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- 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
- A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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- A61B5/7253—Details of waveform analysis characterised by using transforms
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Abstract
The invention discloses a kind of real-time rate calculation method of electrocardiograph based on Android system, its feature, including：The first step, obtains R ripples from lead module in the leads that electrocardio computing module sends；Second step, electrocardio computing module find out the peak value and its threshold values of R ripples；3rd step, the value of R ripples is compared with the threshold values for calculating gained, if more than threshold values, being labeled as maximum and recording its index position；The present invention is successfully applied to rate calculation in Android system, and on the basis of additional hardware is not increased, using software algorithm, it is ensured that accuracy ground quickly calculates heart rate simultaneously.According to the present invention, normal cardiac rate just can calculate result within 2 seconds, compare traditional method, greatly reducing the calculating time, the real-time of heart rate is ensure that, so as to for much needing to know that the heart disease of heart rate real-time change provides important medical reference.
Description
Technical field
The invention belongs to biomedical and computing technique field, and in particular to a kind of electrocardiograph based on Android system
Real-time rate calculation system and method.
Background technology
Heart rate refers to the number of times of heart heart beating per minute under normal person's rest state, is also HRrest, is in electrocardiogram
The index that most easily understands.Normal cardiac rate is 60～100 beats/min, can produce individual diversity because of age, sex or other physiologic factors
Different.In general, the age is less, and heart rate is faster, and old people's heart beating is slower than youngster, and the heart rate of women is faster than male of the same age, fortune
The heart rate of mobilization is partially slow compared with average adult, generally 50 beats/min or so, and these are all normal physiological phenomenons.Heart rate is machine
One window of body function state, changes in heart rate are closely related with heart disease, and therefore, the present invention provides a kind of based on ARIXTRA system
The real-time rate calculation method of system is significant.
Or most of at present ripe rate calculation methods are realized from proprietary hardware chip, single function, cost ratio
Higher；Realized using traditional method, algorithm is complicated, real-time is not high.With science and technology and the Internet fast development, all faces
Consumer's Experience sense will be improved to the operation of terminal.
Content of the invention
The purpose of the present invention is aiming at the defect of prior art, there is provided a kind of reality of the electrocardiograph based on Android system
When rate calculation system and method, real-time heart rate can be drawn by software algorithm using existing data, be reduced extra
Software and hardware expense.
The invention provides a kind of real-time rate calculation system of electrocardiograph based on Android system, it is characterised in that bag
Include for gathering front end data acquisition module, display module and the master board of the real-time heart rate signal of human body, master board is arranged
There are central processing module, signal conversion module, filtration module, I leads modules, rate calculation module and internal interface mould
Block；Front end data acquisition module is electrically connected with the internal interface module of master control borad by USB line, and central processing module and inside connect
Mouth mold block is electrically connected, and central processing module is realized carrying out heart rate number and front end data acquisition module between by internal interface module
According to interaction；Central processing module transmit heart rate data to signal conversion module, signal conversion module realize data splicing and
The conversion of voltage；Signal conversion module by process after data transfer electrically connect to filtration module, filtration module realizes data
Filtering operation, eliminates noise signal；Filtration module by process after signal transmission to I leads modules, I leads modules
Leads are extracted from lead electrocardiogram (ECG) data；Leads are transferred to rate calculation module, rate calculation mould by lead module
Block receives leads and realizes rate calculation, and result of calculation is transferred to show by rate calculation module by internal interface module
Module shows.
The invention provides a kind of real-time rate calculation method of electrocardiograph based on Android system, it is characterised in that：
It comprises the following steps：
The first step, obtains R ripples from lead module in the leads that electrocardio computing module sends；
Second step, electrocardio computing module find out the peak value and its threshold values of R ripples；
3rd step, the value of R ripples is compared with the threshold values for calculating gained, if more than threshold values, being labeled as maximum and remembering
Record its index position；
4th step, calculates heart rate using following equation：HR=60*1000*2/ (Index_R [N]-Index_R [0]), its
In, HR refers to that heart rate, Index_R [0] refer to that the index position of first maximum, Index_R [N] refer to the rope of last maximum
Draw position, N is 2.
In above-mentioned technical proposal, in second step, the peak value of R ripples is found from the leads of 2.2s.
In above-mentioned technical proposal, the R ripples threshold values is to be multiplied by threshold coefficient 0.707 by peak value to calculate.
In above-mentioned technical proposal, the 3rd step is led from (DataLen=timesecend*fs/down) of DataLen length
R ripples maximum and its index position are found out in connection data；The DataLen is referred to every time for calculating the number of heart rate data；
The timesecend refers to the time span (second) for calculating N number of R ripples；The fs refers to data sampling frequency, i.e., per second
The data amount check that clock is collected；The down refers to down-sampled rate.
In above-mentioned technical proposal, also include finding R ripple maximums in 50 data points from after current data point, if found
R ripple maximums, then count is incremented and records the index position of current R ripples for R ripples, then is skipped from current R ripples maximum value position backward
200 data points find next one R ripple maximums；If not finding R ripple maximums, data point moves one backward, then with 50
Individual data point continually looks for R ripple maximums for an interval, involves its corresponding index position Index_R until finding 3 R
[0], Index_R [1] and Index_R [2].
In above-mentioned technical proposal, data sampling frequency fs is 1000Hz；Down-sampled rate down is 1.
Case of the present invention is passed through and is tested on the electrocardiograph based on Android system, accurately calculates the heart rate one of normal person
As all within 2s, compare traditional mode, operand and calculating time greatly shorten, and the change for heart rate provides in real time guarantor
Card.
Real-time rate calculation method of the present invention based on Android system compared with traditional method, with quick, accurate, do not increase
Plus additional hardware, the features such as software algorithm is simplified.The present invention has done in terms of the real-time of rate calculation and accuracy and has carried greatly very much
Rise, particularly suitable apply ARIXTRA, Linux etc. be embedded, on hand-held mobile terminal so that in real time the ease for use of heart rate and
Practicality is greatly improved.
Description of the drawings
Fig. 1 is for patent structure schematic diagram of the present invention；
Fig. 2 is the electric hookup for patent of the present invention.
Fig. 3 is the software flow pattern for patent of the present invention.
Specific embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings, is easy to be well understood to this
Bright, but they do not constitute restriction to the present invention.
The present invention is described in detail to invention with reference to concrete example：
As shown in figure 1, being the electrocardio in Android system based on the real-time rate calculation method of the electrocardiograph of Android system
Realize on figure machine, including master board, display module and front end data acquisition module etc..The present embodiment master board centre
Reason module used by central processing unit (CPU) adopt tetra- nuclear industry level processors of Fresscale i.MX6Q, with high performance,
Superior power consumption performance, high cost performance and stability.The present invention is included for gathering the front end of the real-time heart rate signal of human body
Data acquisition module, display module and master board, master board are provided with central processing module, signal conversion module, filtering
Module, I leads modules, rate calculation module and internal interface module；Front end data acquisition module is by USB line and master control
The internal interface module electrical connection of plate, central processing module and the electrical connection of internal interface module, central processing module is by inside
Interface module realizes the interaction for carrying out heart rate data and front end data acquisition module between；Central processing module transmits heart rate data
To signal conversion module, signal conversion module realizes the splicing of data and the conversion of voltage；After signal conversion module is by process
Data transfer is electrically connected to filtration module, and filtration module realizes the filtering operation of data, eliminates noise signal；Filtration module will be located
To I leads modules, I leads module extracts leads from lead electrocardiogram (ECG) data to signal transmission after reason；Lead
Leads are transferred to rate calculation module by module, and rate calculation module receives leads and realizes rate calculation, heart rate
Result of calculation is transferred to display module by internal interface module and is shown by computing module.
As shown in Fig. 2 being electric hookup of the present embodiment based on the electrocardiograph of Android system.
As shown in figure 3, being software flow of the present embodiment based on the real-time rate calculation method of the electrocardiograph of Android system
Cheng Tu.Invention is described in detail with reference to concrete example：
Heart rate is rapidly and accurately calculated by positioning and counting R ripples, it is characterised in that included：It is based on Android system reality
A kind of computational methods of existing real-time heart rate.
The program of the present invention is made a thread, is executed once per DataLen point.Interference is not produced to systematic function
And do not affect system other functions.
Above-mentioned DataLen represented every time for calculating the number of heart rate data, the definition of DataLen in the middle of the present invention
It is：DataLen=statesecend*fs/down；
Wherein,
Down=1；// down-sampled rate；
Fs=1000；// sample frequency Hz；
Statesecend=4；// be used for calculating the time span (second) of 3 R ripples.
The present invention is to tell about the side of real-time rate calculation under Android system using as a example by filtered I leads
Method.Can also a most strong breast of selection signal lead to calculate heart rate, or calculated with the data of several leads simultaneously, only need to adjust
Whole each lead R ripple threshold coefficient, selects that maximum numeral as Current heart rate, and its method is just as.Concrete steps
For：
(1) maximum and its threshold values of R ripples are asked
Because the heart beating scope of normal person both should not be below 30 beats/min, 300 beats/min are also should not be above, through surveying
Examination, it is to find the maximum (peak value) of R ripples in 2200 data points to select the data from 2.2 seconds.Function is：
[R_value, R_index]=max (dx)；//R_value refers to that the amplitude of R ripples, R_index refer to the rope of R ripples
Draw position.
Wherein, max () function function to be realized is：I leads after input filter, by the size of R-wave amplitude
Relatively, the call number of R ripple maximums (peak value) and its position that finds is exported.
According to max function output results are called, the threshold values of R ripples is calculated.
Formula is：
Thres=Th*R_value；//R ripple threshold values
Wherein, thres represents threshold values, and Th=0.707 is R ripple threshold coefficients.
(2) 3 R are found and involves its index position
It is to find out 3 R ripples in 4000 data points to select the data from 4 seconds.
R ripple maximums are found in 50 data points from after current data point, if finding R ripple maximums, R ripples are counted and added
1 and the index position of current R ripples is recorded, then 200 data points are skipped backward from current R ripples maximum value position find next one R
Ripple maximum (；If not finding R ripple maximums, data point moves one backward, then with 50 data points as an interval continuation
Find R ripple maximums, until find 3 R ripples maximums and its corresponding index position Index_R [0], Index_R [1] and
Index_R[2].After often having executed 4 second datas, circulation is entered back into, execute clear operation.
(3) heart rate is obtained
Through above result of calculation, substitute in formula below：
HR=60*1000*2/ (Index_R [2]-Index_R [0])；
Wherein, Index_R [2] refers to the index position of the 3rd R ripple maximum；Index_R [0]) refer to the 1st R ripple most
The index position of big value.
Heart rate can be obtained.
The content that this specification is not described in detail belongs to prior art known to professional and technical personnel in the field.
Claims (7)
1. the real-time rate calculation system of a kind of electrocardiograph based on Android system, it is characterised in that include for gathering human body
The in real time front end data acquisition module of heart rate signal, display module and master board, master board be provided with central processing module,
Signal conversion module, filtration module, I leads modules, rate calculation module and internal interface module；Front end data acquisition mould
Block is electrically connected with the internal interface module of master control borad by USB line, and central processing module and internal interface module are electrically connected, central authorities
Processing module realizes the interaction for carrying out heart rate data and front end data acquisition module between by internal interface module；Central authorities are processed
Module transmits heart rate data to signal conversion module, and signal conversion module realizes the splicing of data and the conversion of voltage；Signal turns
Data transfer after block is changed the mold by process is electrically connected to filtration module, and filtration module realizes the filtering operation of data, eliminates clutter
Signal；Filtration module by process after signal transmission to I leads modules, I leads module is from lead electrocardiogram (ECG) data
Extract leads；Leads are transferred to rate calculation module by lead module, and rate calculation module receives leads simultaneously
Realize that result of calculation is transferred to display module by internal interface module and is shown by rate calculation, rate calculation module.
2. a kind of real-time rate calculation method of electrocardiograph based on Android system, it is characterised in that：It comprises the following steps：
The first step, obtains R ripples from lead module in the leads that electrocardio computing module sends；
Second step, electrocardio computing module find out the peak value and its threshold values of R ripples；
3rd step, the value of R ripples is compared with the threshold values for calculating gained, if more than threshold values, being labeled as maximum and recording which
Index position；
4th step, calculates heart rate using following equation：HR=60*1000*2/ (Index_R [N]-Index_R [0]), wherein, HR
Refer to that heart rate, Index_R [0] refer to that the index position of first maximum, Index_R [N] refer to the index bit of last maximum
Put, N is 2.
3. the real-time rate calculation method of the electrocardiograph based on Android system according to claim 2, it is characterised in that
In second step, the peak value of R ripples is found from the leads of 2.2s.
4. the real-time rate calculation method of the electrocardiograph based on Android system according to claim 2, it is characterised in that
The R ripples threshold values is to be multiplied by threshold coefficient 0.707 by peak value to calculate.
5. the real-time rate calculation method of the electrocardiograph based on Android system according to claim 2, it is characterised in that
3rd step, find out from (DataLen=timesecend*fs/down) leads of DataLen length R ripples maximum and
Its index position；The DataLen is referred to every time for calculating the number of heart rate data；The timesecend is referred to for counting
Calculate the time span (second) of N number of R ripples；The fs refers to the data amount check for collecting data sampling frequency, i.e. each second；Described
Down refers to down-sampled rate.
6. the real-time rate calculation method of the electrocardiograph based on Android system according to claim 5, it is characterised in that
Also include finding R ripple maximums in 50 data points from after current data point, if finding R ripple maximums, count is incremented for R ripples
And record the index position of current R ripples, then 200 data points are skipped backward from current R ripples maximum value position and find next one R ripples
Maximum；If not finding R ripple maximums, data point moves one backward, then is continued to seek with 50 data points as an interval
R ripple maximums are looked for, involves its corresponding index position Index_R [0], Index_R [1] and Index_R until finding 3 R
[2].
7. the real-time rate calculation method of the electrocardiograph based on Android system according to claim 2, it is characterised in that
Data sampling frequency fs is 1000Hz；Down-sampled rate down is 1.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107440708A (en) * | 2017-06-07 | 2017-12-08 | 武汉吉星医疗科技有限公司 | The lead-fail detector computing system and its method of electrocardiograph based on Android system |
| CN108744284A (en) * | 2017-04-10 | 2018-11-06 | 西艾丰控股公司 | Wearable cardioverter-defibrillator（WCD）System |
| CN109157212A (en) * | 2018-08-30 | 2019-01-08 | 武汉吉星医疗科技有限公司 | The compound filter computing system and its method of electrocardiograph based on android system |
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