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
ECG compression using Slantlet and lifting wavelet transform with and without normalisation
TL;DR: The results show that the compression ratio in case of LWT with normalisation is improved as compared to that without normalisation and the LWT gives the best result asCompared to SLT evaluated in this article.
Journal ArticleDOI
Application of the Max-Lloyd quantizer for ECG compression in diving mammals.
TL;DR: This article presents a practical implementation of an ECG compression algorithm using a Max-Lloyd quantizer, to optimize the low resources of anECG acquisition and transmission system (telemetry system) for dolphins and human divers.
Book ChapterDOI
Non-invasive Detection and Compression of Fetal Electrocardiogram
TL;DR: Michael, K. A. as mentioned in this paper, Interpreting Cardiac Electrograms-From Skin to Endocardium, 2017, Section 5.1, Section 2.1.
Book ChapterDOI
Identification of Mental Disorders by Hidden Markov Modeling of Photoplethysmograms
TL;DR: In results, the proposed HMMs succeeded in recognition of individuals who have mental disorders which indicate the ability of the proposed modeling for disease recognition.
Journal ArticleDOI
A novel ECG signal compression using wavelet and discrete anamorphic stretch transforms
Thilagavathy R,Venkataramani B +1 more
TL;DR: In this paper, a one-dimensional complex Discrete Anamorphic Stretch Transform (DAST) is proposed for precompression of the ECG signal for real-time transmission using channels with limited bandwidth.
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