Quantitative EEG and Virtual Reality to Support Post-stroke Rehabilitation at Home-Reference-Cited by-同舟云学术

Quantitative EEG and Virtual Reality to Support Post-stroke Rehabilitation at Home

Published:2016 Issue: Volume: Page:147-157
ISSN:2190-3018
Container-title:Innovation in Medicine and Healthcare 2016
language:
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Author:

Mastropietro Alfonso,Arlati Sara,Mrakic-Sposta Simona,Fontana Luca,Franchin Cristina,Malosio Matteo,Pittaccio Simone,Gramigna Cristina,Molteni Franco,Sacco Marco,Rizzo Giovanna

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-39687-3_15

Reference30 articles.

1. World Health Organization: The Global Burden of Disease: 2004 update. Update, vol. 2010 (2008). doi: 10.1038/npp.2011.85

2. Millán, M., Dávalos, A.: The need for new therapies for acute ischaemic stroke. Cerebrovasc. Dis. 22, 3–9 (2006)

3. WHO: Neurological disorders: a public health approach. Neurol. Disord. Public Health Challeng., 41–176 (2006)

4. Johnson, M.J., Feng, X., Johnson, L.M., Winters, J.M.: Potential of a suite of robot/computer-assisted motivating systems for personalized, home-based, stroke rehabilitation. J. Neuroeng. Rehabil. 4, 6 (2007)

5. Corsi-Cabrera, M., Galindo-Vilchis, L., del-Río-Portilla, Y., Arce, C., Ramos-Loyo, J.: Within-subject reliability and inter-session stability of EEG power and coherent activity in women evaluated monthly over nine months. Clin. Neurophysiol. 118, 9–21 (2007)

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