Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6951221 | Biomedical Signal Processing and Control | 2016 | 12 Pages |
Abstract
We tested our algorithm with a dataset of MUAP records extracted from the tibialis anterioris muscle of healthy subjects and compared it with some of the most relevant state-of-the-art methods considered in a previous work (Malanda et al., J. Electromyogr. Kinesiol., 2015). The comparison covered general purpose signal processing figures of merit and clinically used MUAP waveform parameters. Significantly better results in both sets of figures of merit were obtained with the new approach. In addition, relative to the other algorithms tested, the new approach required fewer potentials from the MUAP set to obtain an accurate representative waveform.
Keywords
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Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Armando Malanda, Ignacio Rodriguez-CarreƱo, Javier Navallas, Javier Rodriguez-Falces, Sonia Porta, Luis Gila,