Abstrakti
Robot-assisted rehabilitation has emerged as an advantageous tool in the recovery of patients suffering from abnormal motor conditions. The assessment of the electrophysiological behavior of the muscles involved in this rehabilitation process can provide important hints of the patient functional recovery. Such analysis has been commonly performed through the processing of bipolar surface electromyography (sEMG). Here we introduce recent techniques based on the acquisition of high-density electromyography (HD-sEMG) to be used as a tool for the assessment of robot-assisted rehabilitation. To that end, the activity of the tibialis anterior was measured during the performance of periodical ankle dorsiflexion with different frequencies and amplitudes. Intramuscular motor unit coherence was then computed showing peaks at the frequency of movement (delta band) but more interestingly at the beta band. These changes in amplitude and position of the coherence peaks may provide meaningful metrics for gait rehabilitation procedures where the muscle contraction is as well periodical and variable in strength and speed.
Alkuperäiskieli | Englanti |
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Otsikko | Proceedings of the 4th International Conference on NeuroRehabilitation, ICNR 2018 |
Alaotsikko | Converging Clinical and Engineering Research on Neurorehabilitation III |
Toimittajat | Lorenzo Masia, Silvestro Micera, Metin Akay, Jose L. Pons |
Sivut | 231-235 |
Sivumäärä | 5 |
ISBN (elektroninen) | 978-3-030-01845-0 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 1 tammik. 2019 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisuussa |
Tapahtuma | International Conference on NeuroRehabilitation - Pisa, Italia Kesto: 16 lokak. 2018 → 20 lokak. 2018 Konferenssinumero: 4 |
Julkaisusarja
Nimi | Biosystems and Biorobotics |
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Kustantaja | Springer |
Vuosikerta | 21 |
ISSN (painettu) | 2195-3562 |
ISSN (elektroninen) | 2195-3570 |
Conference
Conference | International Conference on NeuroRehabilitation |
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Lyhennettä | ICNR |
Maa/Alue | Italia |
Kaupunki | Pisa |
Ajanjakso | 16/10/2018 → 20/10/2018 |