Decoding answers to four-choice questions using functional near infrared spectroscopy

作者：Naseer Noman; Hong Keum Shik^*

来源：Journal of Near Infrared Spectroscopy, 2015, 23(1): 23-31.

DOI：10.1255/jnirs.1145

• functional near infrared spectroscopy
• brain-computer interface
• multiple-decision decoding
• linear discriminant analysis
• classification
• neuroimaging

This paper presents a functional near infrared (NIR) spectroscopy-based paradigm that can be used to decode answers to four-choice questions. Ten healthy subjects were asked to perform one of the four different brain activities, that is, right-hand motor imagery (RMI), left-hand motor imagery ONO, mental arithmetic (MA) and mental counting (MC), to answer the given four-choice questions. In selecting the A, B, CorD choices, the subjects were asked to perform RMI, LMI, MA or MC, respectively. Signals from the primary motor and prefrontal cortices were acquired simultaneously using a continuous-wave functional NIR spectroscopy system. The four activities were classified using multiclass linear discriminant analysis to decode the answers to an average accuracy of 73.3% across the 10 subjects. The results demonstrate the potential of functional NIR spectroscopy to decode answers to four-choice questions using four different intentionally generated brain activities as control signals.

• 出版日期2015