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Evaluating spatial characteristics of upper-limb movements from EMG signals
dc.contributor.author | Urra, Oiane |
dc.contributor.author | Casals Gelpí, Alicia |
dc.contributor.author | Jané Campos, Raimon |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.contributor.other | Institut de Bioenginyeria de Catalunya |
dc.date.accessioned | 2015-05-25T13:36:09Z |
dc.date.available | 2015-12-31T01:31:04Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Urra, O.; Casals, A.; Jane, R. Evaluating spatial characteristics of upper-limb movements from EMG signals. A: "XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: MEDICON 2013, 25-28 September 2013, Seville, Spain". Springer, 2014, p. 1795-1798. |
dc.identifier.isbn | 978-3-319-00845-5 |
dc.identifier.uri | http://hdl.handle.net/2117/28032 |
dc.description.abstract | Stroke is a major cause of disability, usually causing hemiplegic damage on the motor abilities of the patient. Stroke rehabilitation seeks restoring normal motion on the affected limb. However, ‘normality’ of movements is usually assessed by clinical and functional tests, without considering how the motor system responds to therapy. We hypothesized that electromyographic (EMG) recordings could provide useful information for evaluating the outcome of rehabilitation from a neuromuscular perspective. Four healthy subjects were asked to perform 14 different functional movements simulating the action of reaching over a table. Each movement was defined according to the starting and target positions that the subject had to connect using linear trajectories. Bipolar recordings of EMG signals were taken from biceps and triceps muscles, and spectral and temporal characteristics were extracted for each movement. Using pattern recognition techniques we found that only two EMG channels were sufficient to accurately determine the spatial characteristics of motor activity: movement direction, length and execution zone. Our results suggest that muscles may fire in a patterned way depending on the specific characteristics of the movement and that EMG signals may codify such detailed information. These findings may be of great value to quantitatively assess poststroke rehabilitation and to compare the neuromuscular activity of the affected and unaffected limbs, from a physiological perspective. Furthermore, disturbed movements could be characterized in terms of the muscle function to identify, which is the spatial characteristic that fails, e.g. movement direction, and guide personalized rehabilitation to enhance the training of such characteristic. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes |
dc.subject.lcsh | Neuromuscular diseases |
dc.subject.other | EMG |
dc.subject.other | Movement spatial characteristics |
dc.subject.other | Pattern recognition |
dc.subject.other | Stroke rehabilitation |
dc.subject.other | Upper-limb |
dc.title | Evaluating spatial characteristics of upper-limb movements from EMG signals |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Malaties neuromusculars |
dc.contributor.group | Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
dc.contributor.group | Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation |
dc.identifier.doi | 10.1007/978-3-319-00846-2 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.springer.com/de/book/9783319008455 |
dc.rights.access | Open Access |
local.identifier.drac | 15592829 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Urra, O.; Casals, A.; Jane, R. |
local.citation.publicationName | XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: MEDICON 2013, 25-28 September 2013, Seville, Spain |
local.citation.startingPage | 1795 |
local.citation.endingPage | 1798 |
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