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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Journal ArticleDOI
An efficient technique for compressing ECG signals using QRS detection, estimation, and 2D DWT coefficients thresholding
TL;DR: An efficient electrocardiogram signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding achieves high compression ratio with relatively low distortion and low computational complexity in comparison with other methods.
Journal ArticleDOI
Empirical Mode Decomposition and Wavelet Transform Based ECG Data Compression Scheme
TL;DR: A new electrocardiogram (ECG) data compression scheme which employs sifting function based empirical mode decomposition (EMD) and discrete wavelet transform and offers better compression performance with preserving the key features of the signal very well.
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Mobile ankle and knee perturbator
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Vector quantization of ECG wavelet coefficients
K. Anant,Farid Dowla,G. Rodrigue +2 more
TL;DR: An improved wavelet compression algorithm for ECG signals has been developed with the use of vector quantization on wavelet coefficients and preliminary results indicate that the proposed method excels over standard techniques for high fidelity compression.
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An Adaptive Sampling System for Sensor Nodes in Body Area Networks
Robert Rieger,John Taylor +1 more
TL;DR: A low-power analog system is proposed, which adjusts the converter clock rate to perform a peak-picking algorithm on the second derivative of the input signal, which exhibits a significant reduction in the average sample frequency and data rate.
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