Quantitative EEG and Virtual Reality to Support Post-stroke Rehabilitation at Home
Post-stroke rehabilitation has an enormous impact on health services worldwide because of the high prevalence of stroke, in continuous growth due to the progressive population aging. Systems for neuro-motor rehabilitation at home can help reduce the economic burden of long lasting treatment in chronic post-stroke patients; however the efficacy of these systems in providing a correct and effective rehabilitation should be established. From this point of view, coupling home rehabilitation systems with quantitative EEG methodologies for objectively characterizing patients’ cerebral activity could be useful for the clinician to optimize the rehabilitation protocol and assess its efficacy. Moreover, the use of virtual/augmented reality technologies could assist the patients during unsupervised rehabilitation by providing an empathic feedback to improve their adherence to the treatment. These two aspects were studied and implemented in RIPRENDO@home, a multidisciplinary project, aimed to develop an integrated technological platform oriented to home neurorehabilitation for stroke patients.
KeywordsNeuro-rehabilitation Stroke EEG Virtual reality
The authors wish to thank Dr. Fabio Rastelli for his useful contribution in EEG acquisitions and Dr. Stefano Mottura, Dr. Claudia Redaelli and Dr. Andrea Zangiacomi for their contribution to the REAPP development. The authors want to thank the Scientific Institute IRCCS Eugenio Medea (Bosisio Parini, Italy) and the Lombardy Cluster “Technologies for Living Environments” for supporting the project activity.
The work was performed within the RIPRENDO@Home Project, regional research project funded inside the Framework Agreement between Regione Lombardia and National Research Council, D.G.R. n. 3728-11/07/2012.
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