Electrocardiogram signal lossless compression method based on PT conversion and linear prediction combination

A lossless compression and linear prediction technology, applied in the field of data processing, can solve the problems of low compression rate, waste of storage and transmission space, etc., and achieve the effects of good predictability, integrity and correctness, and excellent coding and compression performance

Inactive Publication Date: 2010-03-17
XIDIAN UNIV
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these two methods can achieve lossless compression of ECG signals, the compre

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electrocardiogram signal lossless compression method based on PT conversion and linear prediction combination
  • Electrocardiogram signal lossless compression method based on PT conversion and linear prediction combination
  • Electrocardiogram signal lossless compression method based on PT conversion and linear prediction combination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0031] Step 1, carrying out PT (peak transform) transformation to original electrocardiogram signal;

[0032] PT transformation is a nonlinear geometric transformation, which can convert high-frequency signals into low-frequency, and its definition is as follows:

[0033] Curve segment: defined as a continuous function f(x) within the finite interval [a, b].

[0034] Curve segment superposition: Given two curve segments f 1 (x), f 2 (x) are defined in the finite interval [a 1 , b 1 ], [a 2 , b 2 ] on, and b 1 ≤a 2 , the new curve segment f(x) generated by superposition is defined in [a 1 , b 1 +b 2 -a 2 ].

[0035] but:

[0036] f ( x ) = f 1 ( x ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an electrocardiogram signal lossless compression method based on PT conversion and linear prediction combination, belonging to the technical field of data processing. The method comprises the following compression processes: carrying out PT conversion on an original electrocardiogram signal; subtracting a converted original signal value and an estimated value to obtain a residual error signal of the whole electrocardiogram signal; carrying out self-adaption variable grade RICE coding on the residual error signal to output a coding bit stream and finishing the lossless compression on the electrocardiogram signal; decoding the compressed bit stream; reconstructing the signal and finishing decompression. The lossless compression method ensures the information completion and accuracy of the compressed electrocardiogram signal and can be used for transmitting and storing the electrocardiogram signal.

Description

technical field [0001] The invention belongs to the technical field of data processing and relates to data compression, which is used to realize the lossless compression of electrocardiogram (ECG) signals. Background technique [0002] ECG signal is one of the most important biological signals. With the development of modern medicine, the electrocardiogram signal plays a more and more important role in assisting the accuracy of diagnosis in clinical diagnosis, and its application is more and more extensive. Development has also made outstanding contributions. In order not to affect the clinical diagnosis, the lossless compression of information is the best choice. Since the data volume of the electrocardiogram signal is large, it is very necessary to compress the electrocardiogram signal. [0003] Recently, some scholars have proposed some compression methods for ECG signals, such as methods based on wavelet transform, methods based on linear prediction, etc., but most of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/0402G06F19/00
Inventor 吴家骥高力鑫焦李成石光明张向荣侯彪公茂果马文萍
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products