Journal ArticleDOI
Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system.
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TLDR
The adaptive noise-reduction system that includes the UNANR model can effectively eliminate random noise in ambulatory ECG recordings, leading to a higher SNR improvement than that with the same system using the popular least-mean-square (LMS) filter.About:
This article is published in Medical Engineering & Physics.The article was published on 2009-01-01. It has received 87 citations till now. The article focuses on the topics: Salt-and-pepper noise & Noise measurement.read more
Citations
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Journal ArticleDOI
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults
TL;DR: The results of the review suggest that most research in wearable ECG monitoring systems focus on the older adults and this technology has been adopted in aged care facilitates and it is shown that how mobile telemedicine systems have evolved and how advances in wearable wireless textile-based systems could ensure better quality of healthcare delivery.
Journal ArticleDOI
An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks
Suranai Poungponsri,Xiao-Hua Yu +1 more
TL;DR: An adaptive filtering approach based on discrete wavelet transform and artificial neural network is proposed for ECG signal noise reduction that can successfully remove a wide range of noise with significant improvement on SNR (signal-to-noise ratio).
Journal ArticleDOI
Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
TL;DR: Results showed that high noise reduction is the major advantage of the EEMD based filter, especially on arrhythmia ECGs.
Journal ArticleDOI
Gaussian Noise Filtering from ECG by Wiener Filter and Ensemble Empirical Mode Decomposition
Kang-Ming Chang,Shing-Hong Liu +1 more
TL;DR: Experimental result showed that EEMD had better noise-filtering performance than EMD and FIR Wiener filter, based on the mode-mixing reduction between near IMF scales.
Proceedings ArticleDOI
Comparison of different approaches for removal of baseline wander from ECG signal
TL;DR: IR zero phase filtering has been proved efficient method for the removal of Baseline wander from ECG signal and has been concluded using Matlab software and MIT-BIH arrhythmia database.
References
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Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI
Adaptive noise cancelling: Principles and applications
Bernard Widrow,J.R. Glover,John M. McCool,J. Kaunitz,C.S. Williams,R.H. Hearn,James R. Zeidler,Jr. Eugene Dong,R.C. Goodlin +8 more
TL;DR: It is shown that in treating periodic interference the adaptive noise canceller acts as a notch filter with narrow bandwidth, infinite null, and the capability of tracking the exact frequency of the interference; in this case the canceller behaves as a linear, time-invariant system, with the adaptive filter converging on a dynamic rather than a static solution.
Book ChapterDOI
Stationary and nonstationary learning characteristics of the LMS adaptive filter
TL;DR: It is shown that for stationary inputs the LMS adaptive algorithm, based on the method of steepest descent, approaches the theoretical limit of efficiency in terms of misadjustment and speed of adaptation when the eigenvalues of the input correlation matrix are equal or close in value.
Journal ArticleDOI
Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection
Nitish V. Thakor,Y.-S. Zhu +1 more
TL;DR: Several adaptive filter structures are proposed for noise cancellation and arrhythmia detection and an adaptive recurrent filter structure is proposed for acquiring the impulse response of the normal QRS complex.