CN107485390A - A kind of electrocardiogram (ECG) data graphic processing method - Google Patents
A kind of electrocardiogram (ECG) data graphic processing method Download PDFInfo
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- CN107485390A CN107485390A CN201710841356.1A CN201710841356A CN107485390A CN 107485390 A CN107485390 A CN 107485390A CN 201710841356 A CN201710841356 A CN 201710841356A CN 107485390 A CN107485390 A CN 107485390A
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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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
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
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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
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention provides a kind of electrocardiogram (ECG) data graphic processing method, and it causes the data that electrocardiogram acquisition equipment is obtained to possess accuracy, intuitive and anti-interference.It is at smart machine end by forming one-to-one binding relationship between user's registration login module user and miniature electrocardiogram equipment main frame, electrocardiogram (ECG) data is obtained after login to electrocardiogram equipment and carries out the displaying of electrocardio real time data oscillogram, the displaying of electrocardio real time data oscillogram carries out QRS detections according to heart real time figure waveform, the filter patterns include notch filter, bandpass filtering, and then show ecg wave form figure directly perceived, accurate, strong interference immunity.
Description
Technical field
The present invention relates to the technical field of electrocardio-data collection, specially a kind of electrocardiogram (ECG) data graphic processing method.
Background technology
With the change of people life style, dietary structure, the chronic disease based on angiocardiopathy is increasingly becoming the mankind
The number one killer of health, and spread with surprising rapidity from city to rural area.It is cardiovascular to have more than 300,000,000 for China in 2016 according to statistics
Disease, and people at highest risk has millions of people directly or indirectly to die from angiocardiopathy every year more than 500,000,000 people.Cardiovascular disease
Disease has the characteristics of lead-time length, advanced symptoms unobvious, urgent and serious morbidity, if missing best occasion for the treatment after morbidity
Often result in dead or handicap., again can not be effectively in disease in the past due to lacking enough medical resources and technological means
Period of expansion, carries out chronic diseases management and prevention.
The diagnosis and treatment strength of current domestic cardiovascular disease concentrates on operation, drug therapy, but means of prevention is weak, forms
The medical resource predicament that increasingly anxiety but sufferer the more are controlled the more more.Recently as the progress of clinical medicine and public hygienics,
Medical field has appreciated that the incidence of disease for reducing angiocardiopathy focuses on examination prevention and chronic diseases management, and passes through medical reform
Medical resource is significantly adjusted from anaphase to primary prevention.
Electrocardiogram has irreplaceable clinical value for examination early stage of angiocardiopathy and chronic diseases management.But at present
The routine electrocardiogram and Holter holter monitorings generally used is in the presence of the monitoring time is short, wearing is uncomfortable, signal interference is big, scarce
The defects of aiding in software less, can not meet the needs of modern chronic diseases management.
Some valuable equipment for detecting electrocardiogram, including medical electrocardiogram have been proposed in the market
Machine, portable dynamic electrocardiograph, hand-held electrocardio recorder.The volume of wherein medical electrocardiograph is big, is only limitted to fixed field
Medical practitioner use, it can not be general by general population；Existing portable dynamic electrocardiograph and hand-held electrocardio note
Instrument is recorded, the easy distortion of poor anti jamming capability, waveform be present, lack the defects of display interface of simple readability.To sum up, existing electrocardio
Data processing method can not allow user to obtain accurate in real time, directly perceived, the ecg wave form figure of strong interference immunity.
The content of the invention
In view of the above-mentioned problems, the invention provides a kind of electrocardiogram (ECG) data graphic processing method, it causes electrocardiogram acquisition to set
The standby data obtained possess accuracy, intuitive and anti-interference；It can accurately show the actual electrocardio of the user collected
Figure waveform, precision reach more than 99%；The filtering of its algorithm exactly can filter out interference signal, retain useful signal, will not
Cause wave distortion because of filtering；Common-mode rejection ratio (CMRR) in its anti-interference reaches more than 100dB.
A kind of electrocardiogram (ECG) data graphic processing method, it is characterised in that：It is logged at smart machine end by user's registration
Module to form one-to-one binding relationship between user and miniature electrocardiogram equipment main frame, and electrocardio is obtained to electrocardiogram equipment after login
Data carry out the displaying of electrocardio real time data oscillogram, and the displaying of electrocardio real time data oscillogram is carried out according to heart real time figure waveform
After QRS detections, filtration module processing, ecg wave form figure directly perceived, accurate, strong interference immunity is shown.
It is further characterized by：The electrocardiosignal of miniature electrocardiogram equipment main frame receiving electrode collection, be amplified, filter,
Analog-to-digital conversion, and carry out filtering process and Lossless Compression processing, its by wireless signal transmit data to smart machine end or
Person's cloud server end；
The filtration module includes notch filter, bandpass filtering；
To realize low-power consumption, special power-supply management system is devised, design is optimized for the program of control unit,
Make each functional module coordinated operation, greatly reduce impotence energy consumption；High-performance low-power-consumption lossless compression algorithm is devised, is made
Storage, the data volume of transmission substantially reduce, and so as to greatly reduce energy consumption, and improve Information Security；
Wherein the displaying of electrocardio real time data oscillogram can be divided into two kinds of display patterns of refreshing and translation, be selected for user,
User is allowed to obtain electrocardiogram (ECG) data directly perceived by graphical treatment；
The walking speed of the electrocardio real time data oscillogram, gain can be by User Defineds；
During the electrocardio real time data oscillogram displaying, whether internal algorithm detection motor comes off and noise is entered
Ecg wave form figure is exported after row noise reduction process in real time；
It can also carry out hand-held mode measurement, and when carrying out hand-held mode measurement, the measurement of time, data are fixed
Real-time exhibition is while smart machine end, real-time upload server goes out analysis report.
After method using the present invention, it causes smart machine end collocation electrocardiogram monitoring structure, passes through electrocardiogram monitoring structure
The data obtained are real-time transmitted to corresponding smart machine end, and due to real-time Transmission, therefore this method can accurately show collection
The electrocardiographic wave of the user's reality arrived, precision reach more than 99%；And the displaying of electrocardio real time data oscillogram is according to the real-time heart
Electrograph waveform carries out QRS detections, and the filter patterns include notch filter, bandpass filtering, and algorithm filtering can be exactly dry
Target signal filter is disturbed, retains useful signal, wave distortion will not be caused because of filtering；Further, since waveform output before, by interior
Whether algorithms detection motor comes off and exports ecg wave form figure in real time after carrying out noise reduction process to noise so that whole output
Strong interference immunity；To sum up, it generates intuitively ecg wave form figure in real time by the data for being obtained electrocardiogram monitoring structure, makes
Obtaining user can intuitively observe, and the real-time waveform exported possesses accuracy, intuitive and anti-interference, for monitoring comprehensively
The health of user provides strong guarantee.
Brief description of the drawings
Fig. 1 is the method flow schematic block diagram of the present invention.
Embodiment
A kind of electrocardiogram (ECG) data graphic processing method, is shown in Fig. 1：It is made at smart machine end by user's registration login module
Obtain and form one-to-one binding relationship between user and miniature electrocardiogram equipment main frame, obtaining electrocardiogram (ECG) data to electrocardiogram equipment after login enters
Row electrocardio real time data oscillogram shows, the displaying of electrocardio real time data oscillogram according to heart real time figure waveform carry out QRS detections,
After filtration module processing, ecg wave form figure directly perceived, accurate, strong interference immunity is shown.
It is further characterized by：The electrocardiosignal of miniature electrocardiogram equipment main frame receiving electrode collection, be amplified, filter,
Analog-to-digital conversion, and carry out filtering process and Lossless Compression processing, its by wireless signal transmit data to smart machine end or
Person's cloud server end；
The filtration module includes notch filter, bandpass filtering；
The walking speed of electrocardio real time data oscillogram, gain can be by User Defineds；
During the displaying of electrocardio real time data oscillogram, whether internal algorithm detection motor comes off and noise is dropped
Make an uproar and export ecg wave form figure after handling in real time；
It can also carry out hand-held mode measurement, and when carrying out hand-held mode measurement, the measurement of time, data are fixed
Real-time exhibition is while smart machine end, real-time upload server goes out analysis report.
The specific embodiment of the present invention is described in detail above, but content is only the preferable implementation of the invention
Example, it is impossible to be considered as the practical range for limiting the invention.All impartial changes made according to the invention application range
Change and improvement etc., all should still be belonged within this patent covering scope.
Claims (7)
- A kind of 1. electrocardiogram (ECG) data graphic processing method, it is characterised in that：It logs in mould at smart machine end by user's registration Block to form one-to-one binding relationship between user and miniature electrocardiogram equipment main frame, obtains electrocardio number after login to electrocardiogram equipment According to the displaying of electrocardio real time data oscillogram is carried out, the displaying of electrocardio real time data oscillogram carries out QRS according to heart real time figure waveform After detection, filtration module processing, ecg wave form figure directly perceived, accurate, strong interference immunity is shown.
- A kind of 2. electrocardiogram (ECG) data graphic processing method as claimed in claim 1, it is characterised in that：The miniature electrocardiogram equipment master The electrocardiosignal of machine receiving electrode collection, is amplified, filters, analog-to-digital conversion, and carries out filtering process and Lossless Compression processing, It transmits data to smart machine end or cloud server end by wireless signal.
- A kind of 3. electrocardiogram (ECG) data graphic processing method as claimed in claim 1, it is characterised in that：The filtration module includes Notch filter, bandpass filtering.
- A kind of 4. electrocardiogram (ECG) data graphic processing method as claimed in claim 1, it is characterised in that：Wherein electrocardio real time data Oscillogram displaying can be divided into two kinds of display patterns of refreshing and translation, be selected for user, allow user to be obtained by graphical treatment Obtain electrocardiogram (ECG) data directly perceived.
- A kind of 5. electrocardiogram (ECG) data graphic processing method as claimed in claim 4, it is characterised in that：The electrocardio real time data The walking speed of oscillogram, gain can be by User Defineds.
- A kind of 6. electrocardiogram (ECG) data graphic processing method as claimed in claim 1, it is characterised in that：The electrocardio real time data During oscillogram displaying, whether internal algorithm detection motor comes off and exports electrocardio in real time after carrying out noise reduction process to noise Oscillogram.
- A kind of 7. electrocardiogram (ECG) data graphic processing method as claimed in claim 1, it is characterised in that：It can also be held Pattern measures, and when carrying out hand-held mode measurement, the measurement of time is fixed, data real-time exhibition is same in smart machine end When, real-time upload server go out analysis report.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710841356.1A CN107485390A (en) | 2017-09-18 | 2017-09-18 | A kind of electrocardiogram (ECG) data graphic processing method |
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| CN201710841356.1A CN107485390A (en) | 2017-09-18 | 2017-09-18 | A kind of electrocardiogram (ECG) data graphic processing method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101321493A (en) * | 2006-11-08 | 2008-12-10 | 北京市麦迪克斯科贸公司 | Lead line type electrocardiograph |
| US20140128713A1 (en) * | 2012-11-06 | 2014-05-08 | Perminova Inc. | System for electrophysiology that includes software module and body-worn monitor |
| CN105982661A (en) * | 2015-02-02 | 2016-10-05 | 四川理工学院 | Portable electrocardiogram monitoring system and data processing method thereof |
| CN106419901A (en) * | 2016-10-25 | 2017-02-22 | 北京工业大学 | Wearable electrocardiogram monitoring system |
| CN206403769U (en) * | 2016-10-20 | 2017-08-15 | 河南华南医电科技有限公司 | A kind of spatial electrocardiograph |
-
2017
- 2017-09-18 CN CN201710841356.1A patent/CN107485390A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101321493A (en) * | 2006-11-08 | 2008-12-10 | 北京市麦迪克斯科贸公司 | Lead line type electrocardiograph |
| US20140128713A1 (en) * | 2012-11-06 | 2014-05-08 | Perminova Inc. | System for electrophysiology that includes software module and body-worn monitor |
| CN105982661A (en) * | 2015-02-02 | 2016-10-05 | 四川理工学院 | Portable electrocardiogram monitoring system and data processing method thereof |
| CN206403769U (en) * | 2016-10-20 | 2017-08-15 | 河南华南医电科技有限公司 | A kind of spatial electrocardiograph |
| CN106419901A (en) * | 2016-10-25 | 2017-02-22 | 北京工业大学 | Wearable electrocardiogram monitoring system |
Non-Patent Citations (1)
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| 红薯: "动态心电曲线图绘制 HeartRateCurve", 《HTTPS://WWW.OSCHINA.NET/P/HEARTRATECURVE》 * |
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Application publication date: 20171219 |