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
Linearity-based Sensor Data Online Compression Methods for Environmental Applications
Olli Väänänen,Timo Hämäläinen +1 more
TL;DR: In this paper , the authors present two new compression algorithms suitable for environmental monitoring and compare them with linearity-based compression algorithms for compressing environmental data in real-world data.
Patent
Procede de compression de donnees pour dispositifs medicaux internes
TL;DR: In this article, a procedure of compression of signaux physiologiques is defined, in which the distribution of flux d'echantillons de donnees or points de donnes des signaux physicologiques dans des cellules de données principales respectives au sein des plages of donnene des echantillons.
Journal ArticleDOI
Performance Evaluation of A Wavelet-Based ECG Signal Compression Algorithm
A.A. Eyadeh,S.M. Abu-Ghazleh +1 more
TL;DR: The choice of wavelet filters, decomposition levels, and coefficient quantization is examined and discussed and the experimental results showed the contribution of the above parameters to the compression performance.
Journal ArticleDOI
An effective ECG signal compression algorithm with self controlled reconstruction quality.
TL;DR: In this paper , the authors proposed an efficient novel compression algorithm by integrating the tunable-Q wavelet transform (TQWT) with coronavirus herd immunity optimizer (CHIO), which facilitates the selfadaptive nature to regulate the reconstruction quality by limiting the error parameter.
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