EEG Feature Fusion for Motor Imagery: A New Robust Framework Towards Stroke Patients Rehabilitation
EEG Feature Fusion for Motor Imagery: A New Robust Framework Towards Stroke Patients Rehabilitation
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Oxford: Elsevier Ltd
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Language
English
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Oxford: Elsevier Ltd
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AbstractStroke is the second foremost cause of death worldwide and is one of the most common causes of disability. Several approaches have been proposed to manage stroke patient rehabilitation such as robotic devices and virtual reality systems, and researchers have found that the brain-computer interfaces (BCI) approaches can provide better result...
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Full title
EEG Feature Fusion for Motor Imagery: A New Robust Framework Towards Stroke Patients Rehabilitation
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TN_cdi_proquest_miscellaneous_2569379553
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2569379553
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ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2021.104799
