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
Modeling of Electrocardiogram Signals Using Predefined Signature and Envelope Vector Sets
TL;DR: Assessment results reveal that the proposed method provides significant data compression ratio (CR) with low-level PRD values while preserving diagnostic information, which significantly reduces the bandwidth of communication in telediagnosis operations.
Journal ArticleDOI
Quality controlled compression technique for Photoplethysmogram monitoring applications
TL;DR: A successful real-time data streaming in computer proved the usefulness of the quality controlled PPG compression technique using principal component analysis to keep the local and global distortion of the reconstructed data within pre-specified limits.
Journal ArticleDOI
Electrocardiogram data mining based on frame classification by dynamic time warping matching
TL;DR: An electrocardiogram (ECG) data mining scheme based on the ECG frame classification realised by a dynamic time warping (DTW) matching technique, which has been used successfully in speech recognition, is presented.
Journal ArticleDOI
Exploiting multi-lead electrocardiogram correlations using robust third-order tensor decomposition.
TL;DR: A robust third-order tensor decomposition of multi-lead electrocardiogram (MECG) comprising of 12-leads is proposed to reduce the dimension of the storage data and outperforms the existing algorithms where compression ratio is under 10 for MECG data.
Journal ArticleDOI
A simple method for guaranteeing ECG quality in real-time wavelet lossy coding
Álvaro Alesanco,José García +1 more
TL;DR: This paper presents a simple and efficient method for guaranteeing reconstruction quality measured using the new distortion index wavelet weighted PRD (WWPRD), which reflects in a more accurate way the real clinical distortion of the compressed signal.
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