Robust ECG artifact removal from EEG using continuous wavelet transformation and linear regression
Chinmayee Dora, Pradyut Kumar Biswal · 2016
EEG signals are often contaminated by the ECG signal. The previous proposed methods are mostly ensemble average subtraction and ICA based. This paper proposes a robust method for detecting R peaks. Using Continuous Wavelet Transformation (CWT), the energy frequency distribution of the QRS waves in the ECG signal are exploited along with the quasi periodic nature of the R-peaks. Upon estimating the QRS data model from the ECG, the linear regression technique is applied to remove the ECG artifacts from the synchronous EEG. Result for R-peak detection is compared against a published paper, shows a better performance.