Journal ArticleDOI
ECG data compression techniques-a unified approach
TLDR
The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.Abstract:
Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG data compression schemes are presented in two major groups: direct data compression and transformation methods. The direct data compression techniques are ECG differential pulse code modulation (DPCM) and entropy coding, AZTEC, Turning-point, CORTES, Fan and SAPA algorithms, peak-picking, and cycle-to-cycle compression methods. The transformation methods include Fourier, Walsh, and Karhunen-Loeve transforms. The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods. A framework for evaluation and comparison of ECG compression schemes is presented. >read more
Citations
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Proceedings ArticleDOI
ECG Compression Based on Successive Differences
Mile Jovanov,G. Temelkov +1 more
TL;DR: In this paper , an algorithm inspired by pulse code modulation in telecommunication theory based on successive differences between neighboring electrocardiogram samples is proposed to reduce the amount of physical space the electrocardia data occupies and needs to be transferred, designing an efficient algorithm that can run on hardware commonly found in a medical device setting.
Successive partition zero coder for embedded lossless wavelet- based egc signal coding
TL;DR: In this article, Successive Partition Zero Coder (SPZC) for embedded loss less Wavelet based ECG signal coding which use both horizontal and vertical bit scanning is proposed.
Proceedings ArticleDOI
A robust method of electrocardiogram data compression using adaptive template matching on discrete cosine transform coefflicients
TL;DR: This work introduces a method of iemplate matching applied to DCT coeficients of ECG data, which results in compression ratios on the order of 1O:l with little signal degradation.
SmoothRetrieved Quality forTelecardiology
TL;DR: The proposed wavelet-threshold based ECG signal compression method requires less computation timesince it does not need QRS detection, period normalization, amplitude normalization and meanremoval and can beused for the transmission ofECG signal over bandlimited telephone networks.
Journal ArticleDOI
A Compression Method for Power Quality Data
TL;DR: The proposed method uses the Deflate algorithm as lossless compression algorithm and the polynomial approximation is intended to decrease the entropy of the signal, thus increasing the compression ratio of the deflate algorithm.
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