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
ECG Signal Compression Based on Burrows-Wheeler Transformation and Inversion Ranks of Linear Prediction
TL;DR: It is shown that when compressing ECG signals, utilization of linear prediction, Burrows-Wheeler Transformation, and inversion ranks yield better compression gain in terms of weighted average bit per sample than recently proposed ECG-specific coders.
Journal ArticleDOI
ECG Data Encryption Then Compression Using Singular Value Decomposition
TL;DR: Experimental results prove the first ETC approach for processing ECG data using the singular value decomposition technique to be an effective technique for assuring data security as well as compression performance forECG data.
Journal ArticleDOI
ECG signal compression by multi-iteration EZW coding for different wavelets and thresholds
Gulay Tohumoglu,K. Erbil Sezgin +1 more
TL;DR: The modified embedded zero-tree wavelet (MEZW) compression algorithm for the one-dimensional signal was originally derived for image compression based on Shapiro's EZW algorithm and it is revealed that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.
Journal ArticleDOI
Hybrid method based on singular value decomposition and embedded zero tree wavelet technique for ECG signal compression
TL;DR: The proposed algorithm is efficient and flexible with different types of ECG signal for compression, and controls quality of reconstruction, and can play a big role to save the memory space of health data centres as well as save the bandwidth in telemedicine based healthcare systems.
Journal ArticleDOI
Assurance of Energy Efficiency and Data Security for ECG Transmission in BASNs
TL;DR: This study investigates the properties of compressed ECG data for energy saving as an effort to devise a selective encryption mechanism and a two-rate unequal error protection (UEP) scheme and demonstrates a higher transmission quality and security measured in terms of wavelet-based weighted percent root-mean-squared difference.
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