Classification of mental tasks in the prefrontal cortex using fNIRS.
EMBC（2013）
摘要
Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these efforts, most single-trial analysis of fNIRS data is focused on motor-imagery, or mental arithmetics. In this study, we investigate the suitability of different mental tasks, namely mental arithmetics, word generation and mental rotation for fNIRS based BCIs. We provide the first systematic comparison of classification accuracies achieved in a sample study. Data was collected from 10 subjects performing these three tasks.
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关键词
cognition,word generation,prefrontal cortex,user state monitoring,neurophysiology,fibre optic sensors,brain-computer interfaces,functional near infrared spectroscopy,patient monitoring,optode template channel,medical signal processing,arithmetic,mental task classification,biomedical equipment,mental strategy,motor-imagery,neuroscience,fnirs data single-trial analysis,feature extraction,relax state,mental rotation,signal classification,classification accuracy,infrared spectroscopy,brain-computer interface,mental arithmetics,motor imagery,fnirs based bci,brain computer interface,spectroscopy,brain computer interfaces,electroencephalography,hemodynamics,systematics,accuracy
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