Preliminary results of homomorphic deconvolution application to surface EMG signals during walking
- Homomorphic deconvolution is applied to sEMG signals recorded during walking. Gastrocnemius lateralis and tibialis anterior signals were acquired according to SENIAM recommendation. MUAP parameters like amplitude and scale were estimated, whilst the MUAP shape parameter was fixed. This features a useful time-frequency representation of sEMG signal. Estimation of scale MUAP parameter was verified extracting the mean frequency of filtered EMG signal, extracted from the scale parameter estimated with two different MUAP shape values.
Author of HS Reutlingen | Martínez Madrid, Natividad |
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URN: | urn:nbn:de:bsz:rt2-opus4-31998 |
DOI: | https://doi.org/10.1016/j.procs.2021.09.100 |
ISSN: | 1877-0509 |
Erschienen in: | Procedia computer science |
Publisher: | Elsevier |
Place of publication: | Amsterdam |
Document Type: | Journal article |
Language: | English |
Publication year: | 2021 |
Tag: | gait analysis; homomorphic deconvolution; surface EMG |
Volume: | 192 |
Issue: | Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021 |
Page Number: | 9 |
First Page: | 3272 |
Last Page: | 3280 |
DDC classes: | 004 Informatik |
Open access?: | Ja |
Licence (German): | Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |