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
A novel algorithm for wavelet based ECG signal coding
TL;DR: A novel algorithm for wavelet based ECG signal coding is proposed that outperforms than other coders such as Djohn, EZW, SPIHT, etc., exits in the literature in terms of simplicity and coding efficiency.
Journal ArticleDOI
An improved closed form design method for the cosine modulated filter banks using windowing technique
TL;DR: An improved closed form method for designing cosine modulated filter banks with prescribed stopband attenuation and channel overlap based on optimum passband frequency is presented, which is calculated using empirical formulas instead of using time consuming single or multivariable optimization.
Journal ArticleDOI
Computationally efficient sub-band coding of ECG signals.
J.H. Husøy,T. Gjerde +1 more
TL;DR: It is concluded that the present scheme, suitable for real time implementation on a PC, can provide compression ratios between 5 and 15 without loss of clinical information.
Journal ArticleDOI
DWT Based Detection of R-peaks and Data Compression of ECG Signals
TL;DR: An algorithm based on discrete wavelet transforms (DWT) for detection of R-peaks, computation ofR-R interval and data compression of ECG signals is presented and is robust to noise.
Journal ArticleDOI
ECG Signal Compression using Optimum Wavelet Filter Bank Based on Kaiser Window
TL;DR: An optimized wavelet filter bank based methodology is presented for compression of electrocardiogram (ECG) signal, which employs a modified thresholding, which improves the compression of signal as compared to earlier existing thresholding technique.
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