Journal ArticleDOI
A new algorithm for the compression of ECG signals based on mother wavelet parameterization and best-threshold levels selection
TLDR
It can be deduced that the performance of the optimized signal dependent wavelet outperforms that of Daubechies and Coiflet standard wavelets, however, the computational complexity of the proposed technique is the price paid for the improvement in the compression performance measures.About:
This article is published in Digital Signal Processing.The article was published on 2013-05-01. It has received 71 citations till now. The article focuses on the topics: Wavelet & Wavelet packet decomposition.read more
Citations
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Journal ArticleDOI
Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review
TL;DR: A prospective review of wavelet-based ECG compression methods and their performances based upon findings obtained from various experiments conducted using both clean and noisy ECG signals is presented.
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
Practical Privacy-Preserving ECG-Based Authentication for IoT-Based Healthcare
TL;DR: This paper proposes a practical scheme that can reliably authenticate patients with noisy ECG signals and provide differentially private protection simultaneously, and analyzes the effectiveness and efficiency of the scheme over online datasets.
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
Empirical Mode Decomposition and Wavelet Transform Based ECG Data Compression Scheme
TL;DR: A new electrocardiogram (ECG) data compression scheme which employs sifting function based empirical mode decomposition (EMD) and discrete wavelet transform and offers better compression performance with preserving the key features of the signal very well.
References
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Journal ArticleDOI
De-noising by soft-thresholding
TL;DR: The authors prove two results about this type of estimator that are unprecedented in several ways: with high probability f/spl circ/*/sub n/ is at least as smooth as f, in any of a wide variety of smoothness measures.
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Orthonormal bases of compactly supported wavelets
TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
Journal ArticleDOI
Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial
TL;DR: Several applications of the polyphase concept are described, including subband coding of waveforms, voice privacy systems, integral and fractional sampling rate conversion, digital crossover networks, and multirate coding of narrowband filter coefficients.
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Minimax estimation via wavelet shrinkage
TL;DR: A nonlinear method which works in the wavelet domain by simple nonlinear shrinkage of the empirical wavelet coefficients is developed, andVariants of this method based on simple threshold nonlinear estimators are nearly minimax.
Journal ArticleDOI
Wavelet transforms and the ECG: a review.
TL;DR: In this review, the emerging role of the wavelet transform in the interrogation of the ECG is discussed in detail, where both the continuous and the discrete transform are considered in turn.