ICA and Sparse ICA for Biomedical Signals

Authors

  • Aamir Adam

  • R. M. Farouk

  • El-Desouky

Keywords:

biomedical signals denoise; fractional weibull distribution; source separation; maximum likelihood;

Abstract

Biomedical signs or bio signals are a wide range of signals obtained from the human body that can be at the cell organ or sub-atomic level Electromyogram refers to electrical activity from muscle sound signals electroencephalogram refers to electrical activity from the encephalon electrocardiogram refers to electrical activity from the heart electroretinogram refers to electrical activity from the eye and so on Monitoring and observing changes in these signals assist physicians whose work is related to this branch of medicine in covering predicting and curing various diseases It can also assist physicians in examining prognosticating and curing numerous conditions

How to Cite

Aamir Adam, R. M. Farouk, & El-Desouky. (2023). ICA and Sparse ICA for Biomedical Signals . Global Journal of Computer Science and Technology, 23(H1), 9–23. Retrieved from https://computerresearch.org/index.php/computer/article/view/102295

ICA and Sparse ICA for Biomedical Signals

Published

2023-04-25