Journal ArticleDOI
Wavelet energy based diagnostic distortion measure for ECG
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TLDR
Wavelet Energy based diagnostic distortion (WEDD) provides a better prediction accuracy and exhibits a statistically better monotonic relationship with the MOS ratings than Wavelet based weighted percentage root mean square difference (PRD) measure (WWPRD), PRD and other objective measures.About:
This article is published in Biomedical Signal Processing and Control.The article was published on 2007-04-01. It has received 135 citations till now. The article focuses on the topics: Wavelet & Discrete wavelet transform.read more
Citations
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Journal ArticleDOI
An adaptive level dependent wavelet thresholding for ECG denoising
TL;DR: A novel modified S-median thresholding technique is proposed and evaluated for denoising ECG signal and showed that the proposed system performed better than S- median and other existing techniques in the time domain.
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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.
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Genetic algorithm and wavelet hybrid scheme for ECG signal denoising
TL;DR: The experimental results show that the introduced hybrid scheme using GA has obtain better performance than the other reported wavelet thresholding algorithms as well as the quality of the denoising ECG signal is more suitable for the clinical diagnosis.
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ECG signal denoising using higher order statistics in Wavelet subbands
TL;DR: It is observed that the proposed denoising scheme not only filters the signal effectively but also helps retain the diagnostic information.
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Multichannel ECG Data Compression Based on Multiscale Principal Component Analysis
TL;DR: Multiscale principal component analysis (MSPCA) is proposed for multichannel electrocardiogram (MECG) data compression and the lowest mean opinion score error value of 5.56% is found.
References
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Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
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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.
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Image coding using wavelet transform
TL;DR: A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed and it is shown that the wavelet transform is particularly well adapted to progressive transmission.
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Biorthogonal bases of compactly supported wavelets
TL;DR: In this paper, it was shown that under fairly general conditions, exact reconstruction schemes with synthesis filters different from the analysis filters give rise to two dual Riesz bases of compactly supported wavelets.
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Detection of ECG characteristic points using wavelet transforms
TL;DR: An algorithm based on wavelet transforms (WT's) has been developed for detecting ECG characteristic points and the relation between the characteristic points of ECG signal and those of modulus maximum pairs of its WT's is illustrated.