Journal ArticleDOI
ECG data compression techniques-a unified approach
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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
Using CELP for compression of ECG signals
TL;DR: A parametric coder of the Code Excited Linear Prediction (CELP) family in presented, aimed at coding of digitised electrocardiograms (ECG), and the coders presented are shown to be very robust.
Proceedings ArticleDOI
An adaptive real-time ECG data compression algorithm
Wang Wei,Zhang Sidong +1 more
TL;DR: The adaptive threshold according to differentiations (ATAD) algorithm proposed utilizes an adaptive threshold which is updated by the first and the second-order differentiations of the signal to compress ECG data.
Proceedings ArticleDOI
Quantized Run Length Encoding QRLE -New Compression Method-: Application to ECG Transmission via IEEE802.11b WLAN Channel
TL;DR: A comparative study with respect to selected ECG compression algorithms show the higher performance of the developed new technique called ‘Quantized run length encoding QRLE’.
Proceedings ArticleDOI
First results on new modeling-based ECG data compression methods
TL;DR: All presented methods are based on an implicit modeling of ECG signals: two on linear prediction, one onlinear prediction, and one on the continuous wavelet transform, which constitutes a new modeling and compression approach.
References
More filters
Journal ArticleDOI
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Journal ArticleDOI
A Method for the Construction of Minimum-Redundancy Codes
TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.
Journal ArticleDOI
Linear prediction: A tutorial review
TL;DR: This paper gives an exposition of linear prediction in the analysis of discrete signals as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal.
Journal ArticleDOI
Arithmetic coding for data compression
TL;DR: The state of the art in data compression is arithmetic coding, not the better-known Huffman method, which gives greater compression, is faster for adaptive models, and clearly separates the model from the channel encoding.
Proceedings ArticleDOI
Orthogonal transforms for digital signal processing
K. R. Rao,N. U. Ahmed +1 more
TL;DR: The utility and effectiveness of these transforms are evaluated in terms of some standard performance criteria such as computational complexity, variance distribution, mean-square error, correlated rms error, rate distortion, data compression, classification error, and digital hardware realization.