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Torabi et al., 2017 - Google Patents

Diagnosis of multiple sclerosis from EEG signals using nonlinear methods

Torabi et al., 2017

Document ID
8000334503995232095
Author
Torabi A
Daliri M
Sabzposhan S
Publication year
Publication venue
Australasian physical & engineering sciences in medicine

External Links

Snippet

EEG signals have essential and important information about the brain and neural diseases. The main purpose of this study is classifying two groups of healthy volunteers and Multiple Sclerosis (MS) patients using nonlinear features of EEG signals while performing cognitive …
Continue reading at link.springer.com (other versions)

Classifications

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