The proposed blind source extraction (BSE) algorithm employs second order statistics to exploit the heart rate variability and focuses on the contaminated EEG ...
An approach for eliminating the cardiac pulsation. (ballistocardiogram, BCG) effect from electroencephal- ograms (EEG) is proposed. The artifact results ...
Removal of Ballistocardiogram Artifact from Electroencephalograms Exploiting Heart Rate Variability - University of Surrey - Conference presentation.
In each case, the local harmonic regression analysis effectively removes the BCG artifacts, and recovers the neurophysiologic EEG signals. We further show that ...
Missing: variability. | Show results with:variability.
Removal of ballistocardiogram artifact from electroencephalograms exploiting heart rate variability ... exploiting periodicity of the heart sound. Tsalaile ...
We have developed a deep learning based method for direct modeling of the BCG from the ECG, which can be used to reduce BCG related artifact in EEG-fMRI ...
The proposed method, called cyclostationary source extraction (CSE), is able to extract components of ballistocardiogram (BCG) components without much ...
... After detecting the cardiac cycle, BCG artifacts were reduced using AAS, which is included in EEGLAB's FMRIB plugin. Although OBS was reported to outperform ...
The purpose of this study was to develop a novel algorithm for removing heartbeat artifact, thus overcoming problems associated with previous methods. Our ...
Jul 29, 2014 · We propose an integrated learning and inference approach that takes advantage of a commercial high-density EEG cap, to estimate the BCG contribution in noisy ...
Missing: rate variability.