Article number 7319252 One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality training applications and high resolution electroencephalography (HR-EEG). The outcome of the clinical tests and the evaluation of the kinematic parameters recorded with the robotic device concurred to highlight an improved motor recovery of the impaired limb despite the age of the patient, his compromised motor function, and the start of rehabilitation at the 3rd week post stroke. The time frequency and functional source analysis of the HR-EEG signals permitted to quantify the functional changes occurring in the brain in association with the rehabilitation motor tasks, and to highlight the recovery of the neuro-motor function.

Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality / Comani, Silvia; Schinaia, Lorenzo; Tamburro, Gabriella; Velluto, Lucia; Sorbi, Sandro; Conforto, Silvia; Guarnieri, Biancamaria. - STAMPA. - 2015:(2015), pp. 3925-3928. (Intervento presentato al convegno 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society tenutosi a Milano (Italia) nel 25-29 Agosto 2015) [10.1109/EMBC.2015.7319252].

Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality

SORBI, SANDRO;
2015

Abstract

Article number 7319252 One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality training applications and high resolution electroencephalography (HR-EEG). The outcome of the clinical tests and the evaluation of the kinematic parameters recorded with the robotic device concurred to highlight an improved motor recovery of the impaired limb despite the age of the patient, his compromised motor function, and the start of rehabilitation at the 3rd week post stroke. The time frequency and functional source analysis of the HR-EEG signals permitted to quantify the functional changes occurring in the brain in association with the rehabilitation motor tasks, and to highlight the recovery of the neuro-motor function.
2015
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Milano (Italia)
25-29 Agosto 2015
Comani, Silvia; Schinaia, Lorenzo; Tamburro, Gabriella; Velluto, Lucia; Sorbi, Sandro; Conforto, Silvia; Guarnieri, Biancamaria
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1055448
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