@article{OrcioniDi NardoFiorettietal.2021, author = {Orcioni, Simone and Di Nardo, Francesco and Fioretti, Sandro and Conti, Massimo and Seepold, Ralf and Gaiduk, Maksym and Mart{\´i}nez Madrid, Natividad}, title = {Preliminary results of homomorphic deconvolution application to surface EMG signals during walking}, journal = {Procedia computer science}, volume = {192}, number = {Knowledge-Based and Intelligent Information \& Engineering Systems: Proceedings of the 25th International Conference KES2021}, issn = {1877-0509}, doi = {10.1016/j.procs.2021.09.100}, institution = {Informatik}, pages = {3272 -- 3280}, year = {2021}, abstract = {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.}, language = {en} }