EEG and MEG brain-computer interface for tetraplegic patients.
IEEE Trans Neural Syst Rehabil Eng
; 14(2): 190-3, 2006 Jun.
Article
in En
| MEDLINE
| ID: mdl-16792291
ABSTRACT
We characterized features of magnetoencephalographic (MEG) and electroencephalographic (EEG) signals generated in the sensorimotor cortex of three tetraplegics attempting index finger movements. Single MEG and EEG trials were classified offline into two classes using two different classifiers, a batch trained classifier and a dynamic classifier. Classification accuracies obtained with dynamic classifier were better, at 75%, 89%, and 91% in different subjects, when features were in the 0.5-3.0-Hz frequency band. Classification accuracies of EEG and MEG did not differ.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Quadriplegia
/
Therapy, Computer-Assisted
/
Brain
/
Magnetoencephalography
/
Communication Aids for Disabled
/
Electroencephalography
Type of study:
Diagnostic_studies
Limits:
Humans
/
Male
Language:
En
Journal:
IEEE Trans Neural Syst Rehabil Eng
Journal subject:
ENGENHARIA BIOMEDICA
/
REABILITACAO
Year:
2006
Document type:
Article
Affiliation country:
Finland