Detection of Attempted Stroke Hand Motions from Surface EMG

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Abstrakt

Brain-Computer Interfaces have been proposed for stroke rehabilitation, but a potential problem with this technology is the dependence of high-quality brain signals. The aim of this study was to investigate if attempted hand open motions can be detected from the muscle activity instead. Ten stroke patients performed 63 ± 7 attempted movements while three channels of EMG were recorded. Hudgins time-domain features and linear discriminant analysis were used, and 92 ± 3% of the movement activity was correctly classified. The Spearman correlation between the upper limb Fugl-Meyer score and the classification accuracies was 0.58 (P = 0.08). In conclusion, attempted movements from stroke patients can be detected using EMG.
OriginalsprogEngelsk
TitelConverging Clinical and Engineering Research on Neurorehabilitation IV : Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020
Antal sider6
ForlagSpringer
Publikationsdato2022
Sider47-52
ISBN (Trykt)978-3-030-70315-8, 978-3-030-70318-9
ISBN (Elektronisk)978-3-030-70316-5
DOI
StatusE-pub ahead of print - 2 okt. 2021
Begivenhed5th International Conference on NeuroRehabilitation - Virtual, Vigo, Spanien
Varighed: 13 okt. 202016 okt. 2020

Konference

Konference5th International Conference on NeuroRehabilitation
LokationVirtual
Land/OmrådeSpanien
ByVigo
Periode13/10/202016/10/2020
NavnBiosystems and Biorobotics
Vol/bind28
ISSN2195-3562

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