What’s Your Next Move? Detecting Movement Intention for Stroke Rehabilitation

Zimmermann, R.; Marchal Crespo, Laura; Lambercy, O.; Fluet, M. -C.; Metzger, J. -C.; Edelmann, J.; Brand, J.; Eng, K.; Riener, Robert; Wolf, M.; Gassert, R. (2013). What’s Your Next Move? Detecting Movement Intention for Stroke Rehabilitation. In: Guger, Christoph; Allison, Brendan Z.; Edlinger, Günter (eds.) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering (pp. 23-37). Berlin, Heidelberg: Springer 10.1007/978-3-642-36083-1_4

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BCIs have recently been identified as a method to promote restorative neuroplastic changes in patients with severe motor impairment, such as after a stroke. In this chapter, we describe a novel therapeutic strategy for hand rehabilitation making use of this method. The approach consists of recording brain activity in cortical motor areas by means of near-infrared spectroscopy, and complementing the cortical signals with physiological data acquired simultaneously. By combining these signals, we aim at detecting the intention to move using a multi-modal classification algorithm. The classifier output then triggers assistance from a robotic device, in order to execute the movement and provide sensory stimulation at the level of the hand as response to the detected motor intention. Furthermore, the cortical data can be used to control audiovisual feedback, which provides a context and a motivating training environment. It is expected that closing the sensorimotor loop with such a brain-body-robot interface will promote neuroplasticity in sensorimotor networks and support the recovery process.

Item Type:	Book Section (Book Chapter)
Division/Institute:	10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Motor Learning and Neurorehabilitation 10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation
UniBE Contributor:	Marchal Crespo, Laura, Riener, Robert
Subjects:	600 Technology > 610 Medicine & health 600 Technology > 620 Engineering
ISSN:	2191-8112
ISBN:	978-3-642-36082-4
Series:	SpringerBriefs in Electrical and Computer Engineering
Publisher:	Springer
Language:	English
Submitter:	Angela Amira Botros
Date Deposited:	19 Jun 2018 15:43
Last Modified:	05 Dec 2022 15:14
Publisher DOI:	10.1007/978-3-642-36083-1_4
URI:	https://boris.unibe.ch/id/eprint/117122