A Boosting-Based Spatial-Spectral Model for Stroke Patients’ EEG Analysis in Rehabilitation Training

Abstract

Studies have shown that a motor imagery electro encephalogram (EEG)-based brain-computer interface (BCI) system can be used as a rehabilitation tool for stroke patients. Efficient classification of EEG from stroke patients is fundamental in the BCI-based stroke rehabilitation systems. One of the most successful algorithms for EEG classification is the… (More)
DOI: 10.1109/TNSRE.2015.2466079

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Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 2 years.

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