dcaro_WAAF

Wavelet-Assisted Adaptative Filter to remove Ocular Artifacts from EEG signals. Computationally efficient for Real-Time applications.

dcaro_WAAF: Wavelet-Assisted Adaptative Filter.

This function removes Ocular Artifacts from EEG signals by creating a reference signal that contains only these artifacts using a soft treshold in low frequency levels of a wavelet decomposition. This reference signal is removed from the original EEG through an Adaptative Noise Cancelling algorithm based on Recursive Least Squares.

This function requires the Wavelet Toolbox.

Original paper:

Peng, H., Hu, B., Shi, Q., Ratcliffe, M., Zhao, Q., Qi, Y., & Gao, G. (2013). Removal of ocular artifacts in EEG—An improved approachcombining DWT and ANC for portable applications. IEEE journal of biomedical and health informatics, 17(3), 600-607.

Soft treshold value obtained from:

Coifman, R. R., & Donoho, D. L. (1995). Translation-invariant de-noising. In Wavelets and statistics (pp. 125-150). New York, NY: Springer New York.