Real-time subject-independent pattern classification of overt and covert movements from fNIRS signals

Real-time subject-independent pattern classification of overt and covert movements from fNIRS signals

Recently, studies have reported the use of Near Infrared Spectroscopy (NIRS) for developing Brain–Computer Interface (BCI) by applying online pattern classification of brain states from subject-specific fNIRS signals. The purpose of the present study was to develop and test a real-time method for su...

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Bibliographic Details
Main Authors: Prasad, Vinod Achutavarrier, Zaidi, Ali Danish, Robinson, Neethu, Rana, Mohit, Guan, Cuntai, Birbaumer, Niels, Sitaram, Ranganatha
Other Authors: Vasilaki, Eleni
Format: Article
Language:English
Published: 2018
Subjects:
DRNTU::Engineering::Computer science and engineering
Overt and Covert Movements
fNIRS Signals
Online Access:https://hdl.handle.net/10356/80459
http://hdl.handle.net/10220/46563
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/80459
http://hdl.handle.net/10220/46563

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