Theis, Fabian J. and García, G. A. (2006) On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms. Signal Processing 86 (3), pp. 603-623.
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Abstract
The previous termdecomposition of surface electromyogramnext term data sets (s-EMG) is studied using blind source separation techniques based on sparseness; namely independent component previous termanalysis, sparsenext term nonnegative matrix factorization, and previous termsparsenext term component previous termanalysis.next term When applied to artificial previous termsignalsnext term we find ...
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| Item type: | Article | ||||
|---|---|---|---|---|---|
| Date: | 2006 | ||||
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Identification Number: |
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| Dewey Decimal Classification: | 500 Science > 570 Life sciences | ||||
| Status: | Published | ||||
| Refereed: | Unknown | ||||
| Created at the University of Regensburg: | Unknown | ||||
| Item ID: | 16929 |
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