Improved ICA algorithm for ECG feature extraction and R‐peak detection
Author:
Affiliation:
1. Department of ECE PSG Institute of Technology and Applied Research Coimbatore Tamil Nadu India
2. Department of Physical Medicine & Rehabilitation PSG IMS&R Hospitals Coimbatore Tamil Nadu India
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3186
Reference26 articles.
1. An advanced bio‐inspired PhotoPlethysmoGraphy (PPG) and ECG pattern recognition system for medical assessment;Rundo F;Sensors,2018
2. Independent component analysis: recent advances;Hyvärinen A;Philos Trans Roy Soc A,2012
3. Independent vector analysis with a generalized multivariate Gaussian source prior for frequency domain blind source separation;Liang Y;Sig Process,2014
4. Clinical evaluation of the performance of a blind source separation algorithm combining beamforming and independent component analysis in hearing aid use
5. Sudden Death Due to Cardiac Arrhythmias
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