Abstract
The goal of this research is to develop a rehabilitation system based on a brain-machine interface (BMI) for paraplegic patients. This requires the ability to detect a patient's desire on the basis of his or her brain activity. In the work reported here, the authors used near-infrared spectroscopy (NIRS) to measure the brain activity of healthy subjects while they exercised on a bicycle ergometer. Analysis results showed that the oxy-Hb level increased at the start of the exercise. This variation in the oxy-Hb level occurred a few seconds after the start of exercise. On the basis of the analysis results, the authors considered a pedaling exercise state discrimination that uses the oxy-Hb level and its time derivative. The discrimination results for three healthy subjects showed over 72% accuracy. For a paraplegic patient's pedal exercise imagery, this discrimination scheme still had 74% accuracy.
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CITATION STYLE
Nakatani, S., Araki, N., Konishi, Y., & Mabuchi, K. (2014). Near-Infrared Spectroscopy Measurement for Brain Activity Analysis during Ergometer Pedal Exercise. SICE Journal of Control, Measurement, and System Integration, 7(6), 327–331. https://doi.org/10.9746/jcmsi.7.327
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