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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. >

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Citations
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Journal ArticleDOI

Wavelet threshold based ECG compression using USZZQ and Huffman coding of DSM

TL;DR: The proposed Wavelet threshold based ECG signal compression technique using uniform scalar zero zone quantizer (USZZQ) and Huffman coding on differencing significance map (DSM) achieves the required compression ratio with less reconstruction error for GSM-based cellular telemedicine system.
Journal ArticleDOI

Efficient ECG Compression and QRS Detection for E-Health Applications

TL;DR: A lossy method is developed (Methods III) that achieves CR of 4.5×, PRD of 0.53, as well as an overall sensitivity of 99.78% and positive predictivity of 98.92% and is compared to the most current lossless and lossy ECG compression methods.
Journal ArticleDOI

Beta wavelet based ECG signal compression using lossless encoding with modified thresholding

TL;DR: An ECG compression method based on beta wavelet using lossless encoding technique is presented, which shows the superiority of this technique in terms of compression ratio and a desirable signal quality.
Journal ArticleDOI

A quality-on-demand algorithm for wavelet-based compression of electrocardiogram signals

TL;DR: An algorithm is proposed to meet the PRD demand by searching for an appropriate bit rate in an automatic, smooth, and fast manner for the wavelet-based compression of medical signals such as electrocardiogram.
Journal ArticleDOI

Home telecare system using cable television plants - an experimental field trial

TL;DR: A platform based on a hybrid fiber coaxial (HFC) network in Taiwan designed to make a home telecare system feasible to combine biomedical data, including three-channel electrocardiogram (ECG) and blood pressure, video, and audio into a National Television Standard Committee (NTSC) channel for communication between the patient and healthcare provider.
References
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Proceedings ArticleDOI

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