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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Journal ArticleDOI
EEG data compression techniques
Giuliano Antoniol,Paolo Tonella +1 more
TL;DR: Electroencephalograph (EEG) and Holter EEG data compression techniques which allow perfect reconstruction of the recorded waveform from the compressed one are presented and discussed and the adoption of a collapsed Huffman tree for the encoding/decoding operations is shown.
Journal ArticleDOI
Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation
TL;DR: This work presents a family of iterative least squares based dictionary learning algorithms (ILS-DLA), including algorithms for design of signal dependent block based dictionaries and overlapping dictionaries, as generalizations of transforms and filter banks, respectively.
Journal ArticleDOI
ECG data compression using cut and align beats approach and 2-D transforms
Hanwoo Lee,K.M. Buckley +1 more
TL;DR: A new electrocardiogram (ECG) data compression method is presented which employs a two dimensional (2-D) transform which illustrates substantial improvement in compression ratio over one-dimensional methods for comparable percent root-mean-square difference (PRD).
Journal ArticleDOI
ECG signal compression using analysis by synthesis coding
TL;DR: An electrocardiogram (ECG) compression algorithm, called analysis by synthesis ECG compressor (ASEC), is introduced and was found to be superior to several well-known ECG compression algorithms at all tested bit rates.
Journal ArticleDOI
u-Healthcare system: state-of-the-art review and challenges.
Farid Touati,Rohan Tabish +1 more
TL;DR: A comprehensive review of up-to-date requirements in hardware, communication, and computing for next-generation u-Health systems is presented and new technological trends and design challenges they have to cope with, while designing such systems are presented.
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