Data compression of ambulatory ECG by using multi-template matching and residual coding

Takanori Uchiyama; Kenzo Akazawa; Akira Sasamori

Data compression of ambulatory ECG by using multi-template matching and residual coding

Takanori Uchiyama, Kenzo Akazawa, Akira Sasamori

Research output: Contribution to journal › Article › peer-review

Abstract

This paper proposed a new algorithm of data compression for ambulatory ECG, where no distortion was included in the reconstructed signal, templates were constructed selectively from detected beats, and categorized ECG morphologies (templates) could be displayed in decoding the compressed data. This algorithm consisted of subtracting a best-fit template from the detected beat with an aid of multi-template matching, first differencing of the resulting residuals and modified Huff-man coding.

Original language	English
Pages (from-to)	1419-1424
Number of pages	6
Journal	IEICE Transactions on Information and Systems
Volume	E76-D
Issue number	12
Publication status	Published - 1993 Dec 1
Externally published	Yes

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence

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Data compression of ambulatory ECG by using multi-template matching and residual coding

Abstract

ASJC Scopus subject areas

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