Removal of EEG Noise and Artifact Using Blind Source Separation

@article{Fitzgibbon2007RemovalOE,
  title={Removal of EEG Noise and Artifact Using Blind Source Separation},
  author={S. Fitzgibbon and D. Powers and K. Pope and C. Clark},
  journal={Journal of Clinical Neurophysiology},
  year={2007},
  volume={24},
  pages={232-243}
}
Summary: A study was performed to investigate and compare the relative performance of blind signal separation (BSS) algorithms at separating common types of contamination from EEG. The study develops a novel framework for investigating and comparing the relative performance of BSS algorithms that incorporates a realistic EEG simulation with a known mixture of known signals and an objective performance metric. The key finding is that although BSS is an effective and powerful tool for separating… Expand
94 Citations
Automated Artifact Removal From the Electroencephalogram
  • 58
Optimal Filtering of Single Channel EEG Data using Linear Filters
Identification and Removal of Physiological Artifacts From Electroencephalogram Signals: A Review
  • 38
EEG artifact removal-state-of-the-art and guidelines.
  • 416
On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics
  • 135
  • PDF
Preprocessing of EEG
  • 1
Removal of muscular artifacts in EEG signals: a comparison of linear decomposition methods
  • 23
  • PDF
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 17 REFERENCES
Automatic removal of eye movement and blink artifacts from EEG data using blind component separation.
  • 582
  • PDF
Extended ICA Removes Artifacts from Electroencephalographic Recordings
  • 476
  • PDF
Removing electroencephalographic artifacts: comparison between ICA and PCA
  • T. Jung, C. Humphries, +4 authors T. Sejnowski
  • Computer Science
  • Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378)
  • 1998
  • 190
Artifact Correction of the Ongoing EEG Using Spatial Filters Based on Artifact and Brain Signal Topographies
  • N. Ille, P. Berg, M. Scherg
  • Computer Science, Medicine
  • Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
  • 2002
  • 624
Extraction of ocular artefacts from EEG using independent component analysis.
  • R. Vigario
  • Computer Science, Medicine
  • Electroencephalography and clinical neurophysiology
  • 1997
  • 427
  • PDF
Dealing with artifacts: The EOG contamination of the event-related brain potential
  • 128
  • PDF
Spatial filtering of multichannel electroencephalographic recordings through principal component analysis by singular value decomposition.
  • 310
  • Highly Influential
Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects
  • 1,073
  • Highly Influential
  • PDF
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
  • 13,051
  • PDF
Dipole modelling of eye activity and its application to the removal of eye artefacts from the EEG and MEG.
  • P. Berg, M. Scherg
  • Computer Science, Medicine
  • Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics
  • 1991
  • 133
...
1
2
...