CN106031633A - An electrocardiogram monitoring method and system - Google Patents
An electrocardiogram monitoring method and system Download PDFInfo
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- CN106031633A CN106031633A CN201510101379.XA CN201510101379A CN106031633A CN 106031633 A CN106031633 A CN 106031633A CN 201510101379 A CN201510101379 A CN 201510101379A CN 106031633 A CN106031633 A CN 106031633A
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- electrocardiosignal
- wave form
- heart rate
- breath signal
- processing
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Abstract
The invention provides an electrocardiogram monitoring method comprising the steps of collecting electrocardiosignals and body temperature signals of a human body; processing the collected electrocardiosignals to obtain an electrocardiogram wave form and a heart rate; collecting respiratory signals and processing the respiratory signals to obtain a respiratory signal wave form; displaying and managing the four parameters of the electrocardiogram wave form, the respiratory signal wave form, the heart rate and the body temperature signals. The invention also provides an electrocardiogram monitoring system comprising a collection module, an electrocardiosignal processing module, a respiratory signal collection and processing module and an information management module. The electrocardiogram monitoring method and system can perform electrocardiogram monitoring based on the electrocardiogram wave form, the respiratory signal wave form, the heart rate and the body temperature signals and enables diseases to be discovered timely.
Description
Technical field
The present invention relates to medical treatment & health monitoring arts, particularly relate to a kind of electrocardio monitoring method and be
System.
Background technology
Along with the raising of people's living standard, the risk suffering from cardiovascular and cerebrovascular disease too increases, more
Many people are more vulnerable to the torment of cardiovascular and cerebrovascular disease.So-called cardiovascular and cerebrovascular disease is exactly cardiac blood
Pipe and cerebrovascular disease are referred to as.Also referred to as " the three-hypers disease " of " affluenza ".Heart and brain blood
Pipe disease is a kind of serious threat mankind, the commonly encountered diseases of particularly more than 50 years old middle-aged and elderly people health,
Even if applying most advanced, perfect treatment means, the cerebrovascular of more than 50% still can be had to anticipate
The life of outer survivor can not be taken care of oneself completely!
And the most very important to being the discovery that in time of cardiovascular and cerebrovascular disease, thus need one badly
Detect the way of cardiovascular and cerebrovascular disease in time.
Summary of the invention
In view of current medical treatment & health monitoring arts above shortcomings, the present invention provides a kind of heart
Electricity monitoring method and system, it is possible to carry out cardiac monitoring, find disease in time.
For reaching above-mentioned purpose, embodiments of the invention adopt the following technical scheme that
A kind of electrocardio monitoring method, described electrocardio monitoring method comprises the following steps:
Gather electrocardiosignal and the temperature signals of human body;
The electrocardiosignal collected is carried out process and obtains ecg wave form and heart rate;
Gather breath signal and carry out process and obtain breath signal waveform;
Ecg wave form, breath signal waveform, heart rate and temperature signals quadrinomial parameter are shown
And management.
According to one aspect of the present invention, the described electrocardiosignal to collecting carries out process and obtains
Ecg wave form and heart rate comprise the following steps:
The electrocardiosignal collected is carried out prime processing and amplifying;
It is filtered the electrocardiosignal after prime processing and amplifying processing;
Filtered electrocardiosignal is carried out secondary processing and amplifying;
Sampling processing is carried out to obtain ecg wave form through ADC;
Heart rate is obtained by calculating according to ecg wave form.
According to one aspect of the present invention, described electrocardiosignal after prime processing and amplifying is entered
The concrete mode of row Filtering Processing can be: first passes through band filter and carrys out filtering interference signals,
Filtering clutter is carried out again by wave trap.
According to one aspect of the present invention, the specific embodiment party of the temperature signals of described collection human body
Formula can be: gathers the voltage signal of body temperature trans on human body, calculates after carrying out sampling processing
Obtain human temperature angle value.
According to one aspect of the present invention, described wave trap includes power frequency suppression wave trap and myoelectricity
Suppression wave trap.
According to one aspect of the present invention, described band filter frequency span is 0.03
Hz~100Hz, described power frequency suppression wave trap frequency is 50Hz, and described myoelectricity suppression wave trap is
35Hz。
According to one aspect of the present invention, described collection breath signal also carries out process and is breathed
Signal waveform comprises the following steps:
First high-frequency pulse signal is applied on the thoracic cavity of human body;
The high-frequency am signal modulated by breath signal is extracted from measuring electrode;
Utilize full-wave rectifying circuit that high-frequency am signal is demodulated;
The envelope of detection high-frequency signal amplitude change, i.e. the variable quantity of impedance;
The variable quantity of described impedance is breath signal waveform.
According to one aspect of the present invention, described collection breath signal also carries out process and is breathed
Signal waveform also includes: filter breath signal waveform by the band filter of 0.08~10Hz
Noise signal, obtain purer breath signal waveform.
A kind of electrocardiogram monitor system, described electrocardiogram monitor system includes:
Acquisition module, for gathering electrocardiosignal and the temperature signals of human body;
ECG's data compression module, obtains electrocardio for the electrocardiosignal collected is carried out process
Waveform and heart rate;
Breath signal acquisition processing module, is used for gathering breath signal and carrying out process being breathed
Signal waveform;
Information management module, for believing ecg wave form, breath signal waveform, heart rate and body temperature
Number quadrinomial parameter carries out showing and managing.
According to one aspect of the present invention, described in the electrocardiosignal that collects carry out process and obtain the heart
Electrical waveform and heart rate comprise the following steps: the electrocardiosignal collected is carried out prime processing and amplifying;
It is filtered the electrocardiosignal after prime processing and amplifying processing;By filtered electrocardiosignal
Carry out secondary processing and amplifying;Sampling processing is carried out to obtain ecg wave form through ADC;According to
Ecg wave form obtains heart rate by calculating.
The advantage that the present invention implements: electrocardio monitoring method of the present invention passes through following steps:
Gather electrocardiosignal and the temperature signals of human body;The electrocardiosignal collected is carried out process obtain
Ecg wave form and heart rate;Gather breath signal and carry out process and obtain breath signal waveform;By the heart
Electrical waveform, breath signal waveform, heart rate and temperature signals quadrinomial parameter carry out showing and managing;
Achieve cardiac electrical monitoring, disease can be found in time.At the electrocardiosignal collected
Reason obtains ecg wave form and heart rate, meanwhile, gathers breath signal and carries out process and obtain breathing letter
Number waveform, becomes visualization and directly perceivedization by abstract electrocardiosignal change and breath signal,
By ecg wave form, respiratory waveform and heart rate, current electrocardio health shape can be judged easily
State, thus find disease sign in time, to reach the effect of cardiac monitoring.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be to embodiment
The accompanying drawing used required in is briefly described, it should be apparent that, the accompanying drawing in describing below
It is only some embodiments of the present invention, for those of ordinary skill in the art, is not paying
On the premise of going out creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is a kind of electrocardio monitoring method schematic diagram of the present invention;
Fig. 2 is the structural representation of a kind of electrocardiogram monitor system of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, to the technical side in the embodiment of the present invention
Case is clearly and completely described, it is clear that described embodiment is only the present invention one
Divide embodiment rather than whole embodiments.Based on the embodiment in the present invention, this area is general
The every other embodiment that logical technical staff is obtained under not making creative work premise,
Broadly fall into the scope of protection of the invention.
As it is shown in figure 1, a kind of electrocardio monitoring method, described electrocardio monitoring method includes following step
Rapid:
Step S1: gather electrocardiosignal and the temperature signals of human body;
The detailed description of the invention of electrocardiosignal and temperature signals that described step S1 gathers human body can
For: the electrocardiosignal amplitude of human body typically at about 1mV, even as low as tens microvolts, frequency spectrum
Being distributed in 0.05~100Hz, primary spectrum integrated distribution is in 5~20Hz, for the faintest
The collection of low frequency signal, gathers front end and must select high input impedance, high cmrr, low
Noise, the operational amplifier of low drifting, gather the electrocardiosignal of human body.The collection of temperature signals
Need by special body temperature trans (critesistor).
In actual applications, the operational amplifier that described ecg signal acquiring uses can be selected for ADI
The instrument amplifier AD620 of company.
Step S2: the electrocardiosignal collected is carried out process and obtains ecg wave form and heart rate;
The electrocardiosignal collected is processed and obtains ecg wave form and heart rate by described step S2
Detailed description of the invention can be:
The electrocardiosignal collected is carried out prime processing and amplifying, specifically can be by using AD620
Its signal is amplified;
It is filtered the electrocardiosignal after prime processing and amplifying processing, specifically can first pass through band
Bandpass filter carrys out filtering interference signals, can carry out filtering clutter by wave trap subsequently;
Filtered electrocardiosignal is carried out secondary processing and amplifying;
Sampling processing is carried out to obtain ecg wave form through ADC;
Heart rate is obtained by calculating according to ecg wave form.
In actual applications, described according to ecg wave form being embodied as by calculating acquisition heart rate
Process is as follows:
In the ecg wave form of 3 seconds in the past (corresponding 20bpm), search suitable slope threshold value;
Slope computing formula is:
Slope (n)=-2x (n-2)-x (n-1)+x (n+1)+2x (n+2) is namely:
Slope=(-waveData [4] < < 1)-waveData [3]+waveData [1]+
(waveData[0]<<1);
If it exceeds QRS wave interval (4*MAX_QRS_INTERVAL) corresponding to 4 times of heart rate lower limits
Do not find QRS wave in time, need to return and again search;
Judge the rising edge of QRS wave;Actual conditions is:
If current slope threshold value is not equal to default minimum threshold, then arrange slope threshold value be default
Little threshold value;
Judge the trailing edge of QRS wave;Actual conditions is:
Find first qrsInterval, it is understood that there may be error, be not involved in calculating;
Restart to search trough, thus eliminate the impact of baseline drift;
When judging that current QRS wave is effective, carry out rate calculation;Particularly as follows: every 1 second calculates
Heart rate, the sampling number of rate calculation formula h eartRate=1 minute/RR interval.
In actual applications, when belonging to following 3 kinds of situations, it is believed that current QRS wave is pseudo wave,
Not carrying out rate calculation, resetting qrsInterval is 0, and continues search for,
1. when real-time heart rate corresponding for qrsInterval is more than the calculating upper limit of heart rate;
2. when the peak-to-valley value of QRS wave is less than 0.15mV (corresponding waveforms amplitude is 10);
3. when the width of QRS wave is less than 24ms (corresponding QRS wave width is 6).
In actual applications, described wave trap can include that power frequency suppression wave trap and myoelectricity suppression fall into
Ripple device.
In actual applications, described band filter frequency span can be 0.03Hz~100Hz,
Described power frequency suppression wave trap frequency can be 50Hz, and described myoelectricity suppression wave trap can be 35Hz.
In an actual application, the calculating of described heart rate can be realized by following procedure code:
Step S3: gather breath signal and carry out process and obtain breath signal waveform;
Described step S3 gathers breath signal and carries out processing the concrete reality obtaining breath signal waveform
The mode of executing can be:
First high-frequency pulse signal is applied on the thoracic cavity of human body;
The high-frequency am signal modulated by breath signal is extracted from measuring electrode;
Utilize full-wave rectifying circuit that high-frequency am signal is demodulated;
The envelope of detection high-frequency signal amplitude change, i.e. the variable quantity of impedance;
The variable quantity of described impedance is breath signal waveform.
In actual applications, the process that obtains of described breath signal and breath signal waveform can be as follows:
First produce high-frequency pulse signal, its signal is put on the thoracic cavity of human body, from measuring electrode
Extract the high-frequency am signal modulated by breath signal, utilize instrument amplifier PGA206 to carry out journey
Control gain is amplified, and then utilizes full-wave rectifying circuit to be demodulated high-frequency am signal, detection
The envelope of high-frequency signal amplitude change, i.e. the variable quantity (respiratory waveform) of impedance, finally leads to
The band filter crossing 0.08~10Hz filters its noise signal, obtains purer breathing letter
Number waveform.
Step S4: by ecg wave form, breath signal waveform, heart rate and temperature signals quadrinomial parameter
Carry out showing and managing.
Described step S4 is by ecg wave form, breath signal waveform, heart rate and temperature signals four ginseng
The detailed description of the invention that number carries out showing and managing can be: by step S1, S2 and S3 being obtained
To ecg wave form, breath signal waveform, heart rate and temperature signals be sent in host computer carry out
Display and management, described host computer can be the smart machines such as PC, mobile phone, notebook computer.
Can be analyzed finding out in time unusual part according to the data waveform etc. that host computer shows.
Electrocardio monitoring method of the present invention passes through following steps: gather the electrocardiosignal of human body
And temperature signals;The electrocardiosignal collected is carried out process and obtains ecg wave form and heart rate;Adopt
Collection breath signal also carries out process and obtains breath signal waveform;By ecg wave form, breath signal ripple
Shape, heart rate and temperature signals quadrinomial parameter carry out showing and managing;Achieve cardiac electrical monitoring,
Disease can be found in time.The electrocardiosignal collected is carried out process and obtains ecg wave form and heart rate,
Meanwhile, gather breath signal and carry out process and obtain breath signal waveform, by abstract electrocardio letter
Number change and breath signal become visualization and directly perceivedization, by ecg wave form, respiratory wave
Shape and heart rate, can judge current electrocardio health status easily, thus find disease in time
Sign, to reach the effect of cardiac monitoring.
A kind of electrocardiogram monitor system embodiment
As in figure 2 it is shown, a kind of electrocardiogram monitor system, described electrocardiogram monitor system includes:
Acquisition module 1, for gathering electrocardiosignal and the temperature signals of human body;
ECG's data compression module 2, obtains electrocardio for the electrocardiosignal collected is carried out process
Waveform and heart rate;
Breath signal acquisition processing module 3, is used for gathering breath signal and carrying out process being breathed
Signal waveform;
Information management module 4, for believing ecg wave form, breath signal waveform, heart rate and body temperature
Number quadrinomial parameter carries out showing and managing.
In actual applications, the electrocardiosignal collected described in carry out process obtain ecg wave form and
Heart rate comprises the following steps: the electrocardiosignal collected is carried out prime processing and amplifying;By premenstrual
Electrocardiosignal after level processing and amplifying is filtered processing;Filtered electrocardiosignal is carried out secondary
Level processing and amplifying;Sampling processing is carried out to obtain ecg wave form through ADC;According to electrocardio ripple
Shape obtains heart rate by calculating.
The advantage that the present invention implements: electrocardio monitoring method of the present invention passes through following steps:
Gather electrocardiosignal and the temperature signals of human body;The electrocardiosignal collected is carried out process obtain
Ecg wave form and heart rate;Gather breath signal and carry out process and obtain breath signal waveform;By the heart
Electrical waveform, breath signal waveform, heart rate and temperature signals quadrinomial parameter carry out showing and managing;
Achieve cardiac electrical monitoring, disease can be found in time.At the electrocardiosignal collected
Reason obtains ecg wave form and heart rate, meanwhile, gathers breath signal and carries out process and obtain breathing letter
Number waveform, becomes visualization and directly perceivedization by abstract electrocardiosignal change and breath signal,
By ecg wave form, respiratory waveform and heart rate, current electrocardio health shape can be judged easily
State, thus find disease sign in time, to reach the effect of cardiac monitoring.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is also
Being not limited to this, any those skilled in the art is at technology model disclosed by the invention
In enclosing, the change that can readily occur in or replacement, all should contain within protection scope of the present invention.
Therefore, protection scope of the present invention should be as the criterion with described scope of the claims.
Claims (10)
1. an electrocardio monitoring method, it is characterised in that described electrocardio monitoring method includes following
Step:
Gather electrocardiosignal and the temperature signals of human body;
The electrocardiosignal collected is carried out process and obtains ecg wave form and heart rate;
Gather breath signal and carry out process and obtain breath signal waveform;
Ecg wave form, breath signal waveform, heart rate and temperature signals quadrinomial parameter are shown
And management.
Electrocardio monitoring method the most according to claim 1, it is characterised in that described to adopting
Collect to electrocardiosignal carry out process and obtain ecg wave form and heart rate comprises the following steps:
The electrocardiosignal collected is carried out prime processing and amplifying;
It is filtered the electrocardiosignal after prime processing and amplifying processing;
Filtered electrocardiosignal is carried out secondary processing and amplifying;
Sampling processing is carried out to obtain ecg wave form through ADC;
Heart rate is obtained by calculating according to ecg wave form.
Electrocardio monitoring method the most according to claim 2, it is characterised in that described will be through
The concrete mode that electrocardiosignal after prime processing and amplifying is filtered processing can be: first passes through
Band filter carrys out filtering interference signals, then carrys out filtering clutter by wave trap.
Electrocardio monitoring method the most according to claim 1, it is characterised in that described collection
The detailed description of the invention of the temperature signals of human body can be: gathers the voltage of body temperature trans on human body
Signal, is calculated human temperature angle value after carrying out sampling processing.
Electrocardio monitoring method the most according to claim 3, it is characterised in that described trap
Device includes power frequency suppression wave trap and myoelectricity suppression wave trap.
Electrocardio monitoring method the most according to claim 5, it is characterised in that described band leads to
Filter frequencies span is 0.03Hz~100Hz, and described power frequency suppression wave trap frequency is
50Hz, described myoelectricity suppression wave trap is 35Hz.
7. according to the electrocardio monitoring method one of claim 1 to 6 Suo Shu, it is characterised in that
Described collection breath signal also carries out process and obtains breath signal waveform and comprise the following steps:
First high-frequency pulse signal is applied on the thoracic cavity of human body;
The high-frequency am signal modulated by breath signal is extracted from measuring electrode;
Utilize full-wave rectifying circuit that high-frequency am signal is demodulated;
The envelope of detection high-frequency signal amplitude change, i.e. the variable quantity of impedance;
The variable quantity of described impedance is breath signal waveform.
Electrocardio monitoring method the most according to claim 7, it is characterised in that described collection
Breath signal also carries out process and obtains breath signal waveform and also include: by 0.08~10Hz
Band filter filters the noise signal of breath signal waveform, obtains purer breath signal ripple
Shape.
9. an electrocardiogram monitor system, it is characterised in that described electrocardiogram monitor system includes:
Acquisition module, for gathering electrocardiosignal and the temperature signals of human body;
ECG's data compression module, obtains electrocardio for the electrocardiosignal collected is carried out process
Waveform and heart rate;
Breath signal acquisition processing module, is used for gathering breath signal and carrying out process being breathed
Signal waveform;
Information management module, for believing ecg wave form, breath signal waveform, heart rate and body temperature
Number quadrinomial parameter carries out showing and managing.
Electrocardiogram monitor system the most according to claim 8, it is characterised in that described in adopt
Collect to electrocardiosignal carry out process and obtain ecg wave form and heart rate comprises the following steps: to collection
To electrocardiosignal carry out prime processing and amplifying;Electrocardiosignal after prime processing and amplifying is entered
Row Filtering Processing;Filtered electrocardiosignal is carried out secondary processing and amplifying;Enter through ADC
Row sampling processing is to obtain ecg wave form;Heart rate is obtained by calculating according to ecg wave form.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106725415A (en) * | 2016-11-15 | 2017-05-31 | 广州视源电子科技股份有限公司 | The treating method and apparatus of electricity physiological signal |
CN106943129A (en) * | 2017-03-10 | 2017-07-14 | 深圳市赛亿科技开发有限公司 | Wearable heart rate and respiration monitoring device, method and its intelligent jacket |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101390747A (en) * | 2008-11-06 | 2009-03-25 | 杭州海利赢医疗技术有限公司 | Remote wireless network physiology multi-parameter monitoring device |
CN201324241Y (en) * | 2008-11-06 | 2009-10-14 | 杭州海利赢医疗技术有限公司 | Remote wireless network physical multi-parameter monitor |
US20120041278A1 (en) * | 2010-03-12 | 2012-02-16 | Rajendra Padma Sadhu | User wearable portable communication device |
CN102415878A (en) * | 2010-09-27 | 2012-04-18 | 浙江亿科智能科技有限公司 | Life physical sign monitoring device |
US20120238845A1 (en) * | 2005-09-21 | 2012-09-20 | Chang-Ming Yang | Electronic device and method of using the same |
CN103300861A (en) * | 2013-05-08 | 2013-09-18 | 深圳市科曼医疗设备有限公司 | Impedance respiration measuring system |
CN103892813A (en) * | 2014-03-09 | 2014-07-02 | 浙江大学 | Human physiological parameter monitoring device |
CN203776879U (en) * | 2014-03-09 | 2014-08-20 | 浙江大学 | Human body physiological parameter monitoring device |
-
2015
- 2015-03-07 CN CN201510101379.XA patent/CN106031633A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120238845A1 (en) * | 2005-09-21 | 2012-09-20 | Chang-Ming Yang | Electronic device and method of using the same |
CN101390747A (en) * | 2008-11-06 | 2009-03-25 | 杭州海利赢医疗技术有限公司 | Remote wireless network physiology multi-parameter monitoring device |
CN201324241Y (en) * | 2008-11-06 | 2009-10-14 | 杭州海利赢医疗技术有限公司 | Remote wireless network physical multi-parameter monitor |
US20120041278A1 (en) * | 2010-03-12 | 2012-02-16 | Rajendra Padma Sadhu | User wearable portable communication device |
CN102415878A (en) * | 2010-09-27 | 2012-04-18 | 浙江亿科智能科技有限公司 | Life physical sign monitoring device |
CN103300861A (en) * | 2013-05-08 | 2013-09-18 | 深圳市科曼医疗设备有限公司 | Impedance respiration measuring system |
CN103892813A (en) * | 2014-03-09 | 2014-07-02 | 浙江大学 | Human physiological parameter monitoring device |
CN203776879U (en) * | 2014-03-09 | 2014-08-20 | 浙江大学 | Human body physiological parameter monitoring device |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106725415A (en) * | 2016-11-15 | 2017-05-31 | 广州视源电子科技股份有限公司 | The treating method and apparatus of electricity physiological signal |
CN106943129A (en) * | 2017-03-10 | 2017-07-14 | 深圳市赛亿科技开发有限公司 | Wearable heart rate and respiration monitoring device, method and its intelligent jacket |
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