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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.

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Metadaten
Author:Simone OrcioniORCiD, Francesco Di Nardo, Sandro FiorettiORCiD, Massimo ContiORCiD, Ralf SeepoldORCiDGND, Maksym GaidukORCiD, Natividad Martínez MadridORCiD
DOI:https://doi.org/10.1016/j.procs.2021.09.100
ISSN:1877-0509
Parent Title (English):Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021, 8 - 10 September 2021, Szczecin, Poland, (Procedia Computer Science)
Volume:192
Publisher:Elsevier
Document Type:Conference Proceeding
Language:English
Year of Publication:2021
Release Date:2021/10/07
First Page:3272
Last Page:3280
Institutes:Fakultät Informatik
Open Access?:Ja
Relevance:Peer reviewed nach anderen Listungen (mit Nachweis zum Peer Review Verfahren)
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International