PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishRobotic technologies are progressively gaining considerable importance in motor rehabilitation. In this context, the development of non-invasive man-machine interfaces has a significant role. Among other physiological signals, surface EMG is of paramount importance. However, the detection of surface EMG signals in rehabilitation is currently based almost exclusively on a single or a few electrode pairs. In the last decade, some important limitations of this approach emerged. This work reviews the more recent knowledge about issues in the use of simple bipolar system when the objective is to estimate muscle activation and highlight the benefits provided by multi-channel surface EMG to muscle activity estimation.
| Titolo: | Surface EMG for human-machine interfaces: New knowledge and open issues |
| Autori: | |
| Data di pubblicazione: | 2017 |
| Rivista: | |
| Abstract: | Robotic technologies are progressively gaining considerable importance in motor rehabilitation. I...n this context, the development of non-invasive man-machine interfaces has a significant role. Among other physiological signals, surface EMG is of paramount importance. However, the detection of surface EMG signals in rehabilitation is currently based almost exclusively on a single or a few electrode pairs. In the last decade, some important limitations of this approach emerged. This work reviews the more recent knowledge about issues in the use of simple bipolar system when the objective is to estimate muscle activation and highlight the benefits provided by multi-channel surface EMG to muscle activity estimation. |
| ISBN: | 9783319612751 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Surface EMG for human machine interfaces new knowledge and open issues_RAAD2017_109_final_v2.pdf | 1. Pre-print | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2685797
Copyright © 2019