Open AccessJournal Article
ECG Data Compression by Using Wavelet Transform
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This article is published in IEICE Transactions on Information and Systems.The article was published on 1993-12-25 and is currently open access. It has received 48 citations till now. The article focuses on the topics: Wavelet packet decomposition & Stationary wavelet transform.read more
Citations
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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.
Journal ArticleDOI
A wavelet transform-based ECG compression method guaranteeing desired signal quality
Jie Chen,Shuichi Itoh +1 more
TL;DR: A new electrocardiogram compression method based on orthonormal wavelet transform and an adaptive quantization strategy, by which a predetermined percent root mean square difference (PRD) can be guaranteed with high compression ratio and low implementation complexity are presented.
Patent
Method of analysis of medical signals
TL;DR: A method of analysis of medical signals which uses wavelet transform analysis to decompose cardiac signals is described in this paper, and an application for carrying out the analysis and an adapted cardiac apparatus adapted to employ the method are also described.
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
A novel compression algorithm for electrocardiogram signals based on the linear prediction of the wavelet coefficients
TL;DR: A new algorithm for electrocardiogram (ECG) compression based on the compression of the linearly predicted residuals of the wavelet coefficients of the signal, which reduces the bit rate while keeping the reconstructed signal distortion at a clinically acceptable level.