Title
Afferent And Efferent Activity Control In The Design Of Brain Computer Interfaces For Motor Rehabilitation
Abstract
Stroke is a cardiovascular accident within the brain resulting in motor and sensory impairment in most of the survivors. A stroke can produce complete paralysis of the limb although sensory abilities are normally preserved. Functional electrical stimulation (FES), robotics and brain computer interfaces (BCIs) have been used to induce motor rehabilitation. In this work we measured the brain activity of healthy volunteers using electroencephalography (EEG) during FES, passive movements, active movements, motor imagery of the hand and resting to compare afferent and efferent brain signals produced during these motor related activities and to define possible features for an online FES-BCI. In the conditions in which the hand was moved we limited the movement range in order to control the afferent flow. Although we observed that there is a subject dependent frequency and spatial distribution of efferent and afferent signals, common patterns between conditions and subjects were present mainly in the low beta frequency range. When averaging all the subjects together the most significant frequency bin comparing each condition versus rest was exactly the same for all conditions but motor imagery. These results suggest that to implement an on-line FES-BCI, afferent brain signals resulting from FES have to be filtered and time-frequency-spatial features need to be used.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6091705
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
brain computer interfaces,motor imagery,brain computer interface,electroencephalography,time frequency
Functional electrical stimulation,Neuroscience,Brain–computer interface,Stroke,Psychology,Brain activity and meditation,Physical medicine and rehabilitation,Sensory system,Efferent,Electroencephalography,Motor imagery
Conference
Volume
ISSN
Citations 
2011
1557-170X
4
PageRank 
References 
Authors
0.63
4
5
Name
Order
Citations
PageRank
Woosang Cho151.01
Vidaurre Carmen240.63
Hoffmann Ulrich340.63
Niels Birbaumer41313201.61
Ander Ramos-Murguialday5259.02