
This article presents a review on biomedical signal processing. Discussions on traditional approaches, nonstationary and nonlinear systems, signal fusion, physiological modeling, and the MMM (multivariate, multiorgan and multiscale) paradigm are included.
Diagnostic Imaging, Biomedical Engineering, Portraits as Topic, Electroencephalography, Signal Processing, Computer-Assisted, Congresses as Topic, Animals, Humans, Education, Graduate, Software, Algorithms, Biotechnology
Diagnostic Imaging, Biomedical Engineering, Portraits as Topic, Electroencephalography, Signal Processing, Computer-Assisted, Congresses as Topic, Animals, Humans, Education, Graduate, Software, Algorithms, Biotechnology
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
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