Name
Abstract | ||
|---|---|---|
Extracting physiological signals to control external devices such as prosthetics is a field of research that offers great hope for patients suffering from disabilities. In this paper, a novel source signal extraction algorithm, based on the source localization method Champagne, is presented. The algorithm constructs spatial filters that not only maximizes the signal to noise ratio ( SNR > 13dB) of the source activities but also minimizes the cross-talk interference between the sources 10log(P(source of interest)/P(interference sources) > 14dB. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091055 | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
algorithm design and analysis,spatial filtering,signal to noise ratio,interference,neurophysiology,algorithm design | Peripheral,Computer vision,Algorithm design,Neurophysiology,Computer science,Signal-to-noise ratio,Algorithm,Electronic engineering,Source localization,Artificial intelligence,Interference (wave propagation),Signal extraction | Conference |
Volume | ISSN | Citations |
2011 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuang Tang | 1 | 0 | 0.34 |
| Brian Wodlinger | 2 | 1 | 1.72 |
| Dominique M Durand | 3 | 95 | 12.56 |