Predicting wrist movement trajectory from ipsilesional ECoG in chronic stroke patients

NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics

Volumn , Issue , 2014, Pages 38-45

  Spüler, Martin ^a   Rosenstiel, Wolfgang ^a   Bogdan, Martin ^a,b  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

Brain Computer Interface (BCI); Brain Machine Interface (BMI); Canonical Correlation Analysis (CCA); Electrocorticography (ECoG); Stroke; Trajectory Prediction

Indexed keywords

BRAIN; CORRELATION METHODS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; FORECASTING; LINEAR TRANSFORMATIONS; MEDICAL COMPUTING; MOTION ESTIMATION; NEUROPHYSIOLOGY; PATIENT REHABILITATION; TRAJECTORIES;

BRAIN MACHINE INTERFACE; CANONICAL CORRELATION ANALYSIS; ELECTROCORTICOGRAPHY (ECOG); STROKE; TRAJECTORY PREDICTION;

BRAIN COMPUTER INTERFACE;

EID: 84909953019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0005165200380045     Document Type: Conference Paper

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