Capítols de llibrehttp://hdl.handle.net/2117/275622024-03-29T07:56:43Z2024-03-29T07:56:43ZEvaluating spatial characteristics of upper-limb movements from EMG signalsUrra, OianeCasals Gelpí, AliciaJané Campos, Raimonhttp://hdl.handle.net/2117/280322023-12-03T04:45:57Z2015-05-25T13:36:09ZEvaluating spatial characteristics of upper-limb movements from EMG signals
Urra, Oiane; Casals Gelpí, Alicia; Jané Campos, Raimon
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.
2015-05-25T13:36:09ZUrra, OianeCasals Gelpí, AliciaJané Campos, RaimonStroke 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.Analysis of normal and continuous adventitious sounds for the assessment of asthmaLozano, ManuelFiz Fernández, José AntonioJané Campos, Raimonhttp://hdl.handle.net/2117/275592020-07-23T22:46:44Z2015-04-24T08:31:50ZAnalysis of normal and continuous adventitious sounds for the assessment of asthma
Lozano, Manuel; Fiz Fernández, José Antonio; Jané Campos, Raimon
2015-04-24T08:31:50ZLozano, ManuelFiz Fernández, José AntonioJané Campos, RaimonNew sleep transition indexes for describing altered sleep in SAHSUrra, OianeJané Campos, Raimonhttp://hdl.handle.net/2117/275582020-07-23T21:55:03Z2015-04-24T08:12:18ZNew sleep transition indexes for describing altered sleep in SAHS
Urra, Oiane; Jané Campos, Raimon
2015-04-24T08:12:18ZUrra, OianeJané Campos, RaimonClassification of mental tasks using different spectral estimation methodsDiez, Pablo F.Laciar, EricMut, VicenteÁvila, EnriqueTorres Cebrián, Abelhttp://hdl.handle.net/2117/178532020-07-23T22:12:56Z2013-02-18T15:29:32ZClassification of mental tasks using different spectral estimation methods
Diez, Pablo F.; Laciar, Eric; Mut, Vicente; Ávila, Enrique; Torres Cebrián, Abel
2013-02-18T15:29:32ZDiez, Pablo F.Laciar, EricMut, VicenteÁvila, EnriqueTorres Cebrián, Abel