Real-Time Adaptive EEG Source Separation Using Online Recursive Independent Component Analysis

@article{Hsu2016RealTimeAE,
  title={Real-Time Adaptive EEG Source Separation Using Online Recursive Independent Component Analysis},
  author={Sheng-Hsiou Hsu and Tim R. Mullen and Tzyy-Ping Jung and Gert Cauwenberghs},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2016},
  volume={24},
  pages={309-319}
}
Independent component analysis (ICA) has been widely applied to electroencephalographic (EEG) biosignal processing and brain-computer interfaces. The practical use of ICA, however, is limited by its computational complexity, data requirements for convergence, and assumption of data stationarity, especially for high-density data. Here we study and validate an optimized online recursive ICA algorithm (ORICA) with online recursive least squares (RLS) whitening for blind source separation of high… CONTINUE READING