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. >read more
Citations
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Journal ArticleDOI
ECG compression using long-term prediction
G. Nave,Arnon D. Cohen +1 more
TL;DR: A new algorithm for ECG signal compression is introduced that can be considered a generalization of the recently published average beat subtraction method, and was found superior at any bit rate.
Journal ArticleDOI
An efficient coding algorithm for the compression of ECG signals using the wavelet transform
TL;DR: The proposed algorithm is compared with direct-based and wavelet-based compression algorithms and showed superior performance and the ability of the coding algorithm to compress ECG signals is investigated.
Journal ArticleDOI
ECG Denoising and Compression Using a Modified Extended Kalman Filter Structure
TL;DR: Efficient denoising and lossy compression schemes for electrocardiogram (ECG) signals based on a modified extended Kalman filter (EKF) structure are presented, suitable for a hybrid system that integrates these algorithmic approaches for clean ECG data storage or transmission scenarios with high output SNRs, high CRs, and low distortions.
Journal ArticleDOI
Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform
TL;DR: The present algorithm demonstrated the potential of data fusion to reduce false ECG arrhythmia alarms in a clinical setting, but the non-zero TA reduction rate for ventricular tachycardia indicates the need for further refinement of the suppression strategy.
Journal ArticleDOI
ECG data compression using truncated singular value decomposition
TL;DR: The results showed that truncated SVD method can provide an efficient coding with high-compression ratios and demonstrated the method as an effective technique for ECG data storage or signals transmission.
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