CN1423997A - Real time data collecting lossless compressing method for 12 lead ECG - Google Patents

Real time data collecting lossless compressing method for 12 lead ECG Download PDF

Info

Publication number
CN1423997A
CN1423997A CN02144672A CN02144672A CN1423997A CN 1423997 A CN1423997 A CN 1423997A CN 02144672 A CN02144672 A CN 02144672A CN 02144672 A CN02144672 A CN 02144672A CN 1423997 A CN1423997 A CN 1423997A
Authority
CN
China
Prior art keywords
compression method
lossless
lead
lossless compression
real time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN02144672A
Other languages
Chinese (zh)
Other versions
CN1206961C (en
Inventor
卢树起
周肖飞
王长津
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Neusoft Xikang Health Technology Co., Ltd.
Original Assignee
SHENYANG DONGRUAN DIGITAL MEDICAL SYSTEM CO Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHENYANG DONGRUAN DIGITAL MEDICAL SYSTEM CO Ltd filed Critical SHENYANG DONGRUAN DIGITAL MEDICAL SYSTEM CO Ltd
Priority to CNB021446725A priority Critical patent/CN1206961C/en
Publication of CN1423997A publication Critical patent/CN1423997A/en
Application granted granted Critical
Publication of CN1206961C publication Critical patent/CN1206961C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

A lossless compression method for high-precision real-time acquisition of 12-lead electrocardiogram is disclosed, which is suitable for the 12-lead HOLTER system or portable hand-held electrocardiography with low-power low-speed less-RAM single-chip microprocessor.

Description

The method of lossless compress during 12 lead electrocardiogram are gathered in real time
Affiliated technical field
The invention belongs to the Medical Instruments technical field, particularly the method for real non-destructive compression storage electrocardiosignal waveform in the real-time synchronous acquisition of 12 lead electrocardiogram.
Background technology
12 lead electrocardiogram synchronous recording technology are at present in the medical Instrument field extensive use.For the cardiac work up diagnostic device based on computer system, the spatial capacity of the operating rate of computer CPU and hard-disc storage does not constitute problem, and a large amount of electrocardiogram (ECG) data that the short time gathers can be stored fully, need not any compression and handles.But development along with the Medical Instruments level, at present a lot of cardiac work up diagnostic devices are to the miniaturization development of portable and hand-held, need to gather for a long time or momentarily the ecg information of human body, and acquisition precision is more and more higher, acquisition time is more and more longer, and the Electrocardiographic data volume that collects is increasing.Simultaneously, the requirement to the small size of instrument, low-power consumption etc. adds the restriction of single-chip microcomputer performance and memory span, and the method for storage is arisen at the historic moment.But compression method in the past reach can be practical compression speed and compression ratio after, losing of distortion and many minutias appears in the electrocardiographic wave that restores out, the distortion factor is very big, influences clinical diagnosis; Also have some compression methods can accomplish lossless compress substantially, but very complicated in actual use, and to the requirement height of single-chip microcomputer.
Summary of the invention
In order to overcome existing compression method in electrocardiogram (ECG) data compression back reduction distortion and the shortcoming high to resource requirements such as CPU, RAM, the invention provides a kind of in processing speed low and the internal RAM resource is few and the single-chip microcomputer of low-power consumption on the lossless compression method of realization 12 lead electrocardiogram high-precise synchronization when gathering in real time.
The technical solution adopted in the present invention is: use low-power consumption, processing speed is low and the few single-chip microcomputer of internal RAM resource when carrying out the synchronous high precision collecting of 12 lead electrocardiogram, carry out real-time lossless compress for each electrocardiogram (ECG) data that leads that collects, after the data accumulation after the compression arrives certain amount, the write memory storage.The lossless compression method that is adopted is very suitable for the compression of electrocardiosignal waveform and similar Wave data.
Lossless compression algorithm is described:
If k is i the current memory word joint number of leading, m i(k) be the numerical value that i leads and stores in k the byte
X i(n) be i n input value of leading, Y i(n) be that i leads through n value of system's output
For 12 each channel data transmission systems through representing earlier all of leading in the electrocardiosignal synchronized sampling by accompanying drawing
In the accompanying drawing:
The 12 signal X that lead 1, X 2..., X 11, X 12Be the input of system, Y 1, Y 2..., Y 11, Y 12Output for system.
H (z) is the transfer function of system, and its z conversion expression formula is as follows: H ( z ) = 1 1 - z - 1
To i the X that leads iOutput Y i, work as Y iValue when satisfying some in following three conditions, adopt corresponding method to compress:
1) as output Y i(n)=0 o'clock, adopt lossless compression method 1.
2) as output-8≤Y i(n)≤7 o'clock, adopt lossless compression method 2.
3) as output Y iWhen (n) being worth for other, m i(k+1)=X i(n).
Lossless compression method 1: judge Y i(n-1) value:
1) works as Y i(n-1)=0 o'clock, m i(k) New=m i(k) Old+ 1
2) Y iWhen (n-1) being worth for other, m i(k+1)=2
Lossless compression method 2: judge Y i(n-1) value:
(1) 0 〉=Y i(n-1) or Y i(n-1)>7 o'clock, m i(k+1)=Y i(n)
(2) Y iWhen (n-1) being worth for other, m i(k) New=m i(k) Old* 128+Y i(n)
The inventive method is applicable to the heart real time data collecting system of being made up of single-chip microcomputer and 8 bit A/D converters, can the data that collect be carried out depositing in the memorizer after the lossless compress with the simple and high-efficient method, the inventive method also can be applicable to 12 lead or the ecg signal acquiring of multi-lead HOLTER record in, be applied in the electrocardiogram signal acquisition device of other portable and hand-held.
Description of drawings
Accompanying drawing is the inventive method transmission system sketch map.
The specific embodiment
Use low-power consumption, processing speed is low and the few single-chip microcomputer of internal RAM resource carries out lossless compress (multi-lead HOLTER system or hand-held multi-lead ECG collection device) when carrying out the synchronous high precision collecting of 12 lead electrocardiogram in real time, record in the memorizer again.
Lossless compression method 1 among the present invention can be realized very high compression ratio for Electrocardiographic baseline, and lossless compression method 2 is fit to compression T ripples, P and involves the baseline that has low-frequency disturbance etc. and change signal more slowly, and is not very remarkable for the compression of jump signals such as QRS wave group and strong jamming.These two kinds of lossless compression methods combine and can make Compression of Electrocardiogram Signals obtain more satisfactory lossless compression ratio.Use these two kinds of compression method results to show: single-chip microcomputer is with the AD data of 8 passages of sample frequency processing of 512 point/seconds under the 4MHz system clock, and its compression ratio is 3-3.5 times.Development along with present memory span, do not need to carry out the lossy compression method of big compression ratio, computing and implement other complicated lossless compression methods and also require high to the arithmetic speed of single-chip microcomputer, RAM resource etc., use this simple and easy to do electrocardiogram (ECG) data lossless compression method, the data in real time lossless compress of electrocardio sampling is arrived about 1/3rd original storages again, satisfy the actual demand of using fully.

Claims (1)

1, the method for lossless compress during a kind of 12 lead electrocardiogram are gathered in real time, it is characterized in that, in processing speed low and the internal RAM resource few and the single-chip microcomputer of low-power consumption on realization 12 lead or the lossless compress of the electrocardiogram (ECG) data of multi-lead electrocardiogram high-precise synchronization when gathering in real time, for 12 lead each channel data in the electrocardiosignal synchronized sampling all pass through earlier by H ( z ) = 1 1 - z - 1 The system of the transmission characteristic that formula is represented, then at output result's difference, adopt diverse ways to compress:
1) when output Y (n)=0, adopt lossless compression method 1,
2) when output-8≤Y (n)≤7, adopt lossless compression method 2,
3) when output Y (n) is worth for other, do not compress;
Its lossless compression method 1 and 2:
If i is current memory word joint number, m (i) is the numerical value of storing in the 1st byte
Lossless compression method 1: the value of judging Y (n-1) in y (n) sequence:
1) when Y (n-1)=0, m (i) New=m (i) Old+ 1
2) when Y (n-1) is worth for other, m (i+1)=2
Lossless compression method 2: the value of judging y (n-1) in Y (n) sequence:
(1) 0 〉=Yi (n-1) or Yi (n-1)>7 o'clock, m (i+1)=Y (n)
When (2) Y (n-1) is worth for other, m (i) New=m (i) Old* 128+Y (n).
CNB021446725A 2002-12-03 2002-12-03 Real time data collecting lossless compressing method for 12 lead ECG Expired - Fee Related CN1206961C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNB021446725A CN1206961C (en) 2002-12-03 2002-12-03 Real time data collecting lossless compressing method for 12 lead ECG

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNB021446725A CN1206961C (en) 2002-12-03 2002-12-03 Real time data collecting lossless compressing method for 12 lead ECG

Publications (2)

Publication Number Publication Date
CN1423997A true CN1423997A (en) 2003-06-18
CN1206961C CN1206961C (en) 2005-06-22

Family

ID=4750630

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB021446725A Expired - Fee Related CN1206961C (en) 2002-12-03 2002-12-03 Real time data collecting lossless compressing method for 12 lead ECG

Country Status (1)

Country Link
CN (1) CN1206961C (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101669819B (en) * 2009-09-25 2011-06-01 西安电子科技大学 Electrocardiogram signal lossless compression method based on PT conversion and linear prediction combination
CN102697492A (en) * 2012-05-25 2012-10-03 长春华讯信息科技有限公司 Real-time electrocardio information analysis system and analysis method thereof
CN103815895A (en) * 2014-01-05 2014-05-28 深圳市中瑞奇电子科技有限公司 ECG (electrocardiogram) data compression and decoding method
CN104114086A (en) * 2012-02-08 2014-10-22 国立大学法人九州工业大学 Biological information processing device, biological information processing system, biological information compression method, and biological information compression processing program
CN113040781A (en) * 2021-03-11 2021-06-29 广州市康源图像智能研究院 I-lead electrocardiogram data identification method and system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101669819B (en) * 2009-09-25 2011-06-01 西安电子科技大学 Electrocardiogram signal lossless compression method based on PT conversion and linear prediction combination
CN104114086A (en) * 2012-02-08 2014-10-22 国立大学法人九州工业大学 Biological information processing device, biological information processing system, biological information compression method, and biological information compression processing program
CN104114086B (en) * 2012-02-08 2015-11-25 国立大学法人九州工业大学 The compression method of biological information processing unit, Biont information processing system and Biont information
CN102697492A (en) * 2012-05-25 2012-10-03 长春华讯信息科技有限公司 Real-time electrocardio information analysis system and analysis method thereof
CN102697492B (en) * 2012-05-25 2014-08-06 长春华讯信息科技有限公司 Real-time electrocardio information analysis method
CN103815895A (en) * 2014-01-05 2014-05-28 深圳市中瑞奇电子科技有限公司 ECG (electrocardiogram) data compression and decoding method
CN113040781A (en) * 2021-03-11 2021-06-29 广州市康源图像智能研究院 I-lead electrocardiogram data identification method and system

Also Published As

Publication number Publication date
CN1206961C (en) 2005-06-22

Similar Documents

Publication Publication Date Title
CN1024161C (en) Intellectual faculties type free respiration resistant tachogram picturing instrument
US7239988B2 (en) Apparatus and method for efficient representation of periodic and nearly periodic signals for analysis
US5791342A (en) Medical data transmission system
CN1377485A (en) Method and apparatus for processing physiological signal
CN102274020A (en) Low-power consumption portable electrocardiograph monitor and control method thereof
Salman et al. Compressive sampling of EMG bio-signals
CN111920407A (en) Electrocardio feature extraction method, system, device and medium based on wavelet transformation
CN1206961C (en) Real time data collecting lossless compressing method for 12 lead ECG
CN114916940A (en) Arrhythmia signal detection method, system and terminal based on expert knowledge
Ying et al. Heart sound and ECG signal analysis and detection system based on LabVIEW
CN109770851B (en) Heart health state monitoring system and method based on Bluetooth wireless communication
CN1237934C (en) Portable dynamic full information electrocardiogram and heart sounds monitor
CN102499671B (en) Ventricular repolarization high-frequency wave double-limb electrode detecting device
Adib et al. ECG beat classification using discrete wavelet coefficients
Fariborzi et al. Design of a low-power microcontroller-based wireless ECG monitoring system
Knezevic et al. MSP430 implementation of wavelet transform for purposes of physiological signals processing
CN201519145U (en) Portable digital dynamic electrocardiogram recorder
CN2696547Y (en) Monitoring system of cardiac hemodynamics
CN108649955A (en) A kind of gradual approaching A/D converter, ecg signal acquiring device and method
Srinagesh et al. ECG wireless telemetry
CN2855317Y (en) Personal ECG system
Alexandridi et al. Hardware design for the computation of heart rate variability
CN2478540Y (en) Palm computer type electrocardiograph
Ghule et al. Design of portable ARM processor based ECG module for 12 lead ECG data acquisition and analysis
CN1030014A (en) Computerized multi-channel instrument for dynamic electrocardio and heart rate measurement and analysis

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C56 Change in the name or address of the patentee

Owner name: DONGRUAN MEDICAL SYSTEMS CO., LTD., SHENYANG

Free format text: FORMER NAME: SHENYANG DONGRUAN DIGITAL MEDICAL SYSTEM CO., LTD.

CP01 Change in the name or title of a patent holder

Address after: 110179 Liaoning city of Shenyang province Shenyang Hunnan hi tech Industrial Development Zone, East Software Park.

Patentee after: Dongruan Medical Systems Co., Ltd., Shenyang

Address before: 110179 Liaoning city of Shenyang province Shenyang Hunnan hi tech Industrial Development Zone, East Software Park.

Patentee before: Shenyang Dongruan Digital Medical System Co., Ltd.

ASS Succession or assignment of patent right

Owner name: DONGRUAN NEOSOFT TECHNOLOGY CO., LTD.

Free format text: FORMER OWNER: DONGRUAN MEDICAL SYSTEMS CO., LTD., SHENYANG

Effective date: 20130129

C41 Transfer of patent application or patent right or utility model
COR Change of bibliographic data

Free format text: CORRECT: ADDRESS; FROM: 110179 SHENYANG, LIAONING PROVINCE TO: 100096 HAIDIAN, BEIJING

TR01 Transfer of patent right

Effective date of registration: 20130129

Address after: 100096, No. 9 West Fourth Ring Road, Beijing, Haidian District

Patentee after: Neusoft Xikang Health Technology Co., Ltd.

Address before: 110179 Liaoning city of Shenyang province Shenyang Hunnan hi tech Industrial Development Zone, East Software Park

Patentee before: Dongruan Medical Systems Co., Ltd., Shenyang

CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20050622

Termination date: 20191203

CF01 Termination of patent right due to non-payment of annual fee