
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, Animals, Humans, Portraits as Topic, Electroencephalography, Signal Processing, Computer-Assisted, Education, Graduate, Congresses as Topic, Software, Algorithms, Biotechnology
Diagnostic Imaging, Biomedical Engineering, Animals, Humans, Portraits as Topic, Electroencephalography, Signal Processing, Computer-Assisted, Education, Graduate, Congresses as Topic, Software, Algorithms, Biotechnology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| 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 | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
