Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI

• Published in: Neuroscience letters Vol. 587; pp. 87 - 92
• Main Authors: Hong, Keum-Shik, Naseer, Noman, Kim, Yun-Hee
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 05.02.2015
• Subjects: Adult; Brain-computer interface; Brain-Computer Interfaces; Discriminant Analysis; Feasibility Studies; Functional Laterality; Functional near-infrared spectroscopy; Humans; Imagination; Linear discriminant analysis; Linear Models; Male; Motor Activity; Motor Cortex - physiology; Motor imagery; Prefrontal Cortex - physiology; Problem Solving; Spectroscopy, Near-Infrared; Brain-computer interface; Motor imagery; Linear discriminant analysis; Functional near-infrared spectroscopy

•Feasibility of three-class fNIRS–BCI demonstrated.•Classification of fNIRS signals corresponding to three different brain activities.•Motor and prefrontal cortex activities used.•Intentionally-generated cognitive tasks as inputs. Functional near-infrared spectroscopy (fNIRS) is an optical imaging m...