Abstract
Eye movements and blinks may produce unusual voltage changes that propagates from the eyeball through the head as volume conductor up to the scalp electrodes, generating severe electroencephalographic artifacts. Several methods are now available to correct the distortion Induced by these events on the EEG, having different advantages and drawbacks. The main focus of this work is to quantify the performance of the removal of EOG artifact due to the application of the independent component analysis (ICA) methodology. The precise quantification of the effects of artifact removal by ICA is possible by using a simulation setup, with a realistic head model, that it is able to mimic the occurrence of an eye blink. The electrical activity generated by the simulated eyeblink were propagated through the realistic head model and superimposed to a clean segment of EEG. Then, artifact removal was performed by using the ICA approach. Ocular artifact removal was evaluated in different operative conditions, characterized by different Signal to Noise Ratio and number of electrodes. The error measures used were the Relative Error and the Correlation Coefficient between the clear, original EEG segment and those obtained after the application of the ICA procedure.
| Original language | English |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Pages | 976-979 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: Aug 30 2006 → Sep 3 2006 |
Other
| Other | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 |
|---|---|
| Country | United States |
| City | New York, NY |
| Period | 8/30/06 → 9/3/06 |
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Keywords
- EEG
- EOG
- High resolution EEG
- ICA
- Realistic head model
ASJC Scopus subject areas
- Bioengineering
Cite this
Removal of ocular artifacts for high resolution EEG studies : A simulation study. / Astolfi, Laura; Cincotti, Febo; Mattia, Donatella; Babiloni, Fabio; Marciani, Maria Grazia; De Vico Fallani, Fabrizio; Mattiocco, Marco; Miwakeichi, Fumikazu; Yamaguchi, Yoko; Martinez, Pablo; Salinari, Serenella; Tocci, Andrea; Bakardjian, Hovagim; Vialatte, Francois Benoit; Cichocki, Andrzej.
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. p. 976-979 4029852.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Removal of ocular artifacts for high resolution EEG studies
T2 - A simulation study
AU - Astolfi, Laura
AU - Cincotti, Febo
AU - Mattia, Donatella
AU - Babiloni, Fabio
AU - Marciani, Maria Grazia
AU - De Vico Fallani, Fabrizio
AU - Mattiocco, Marco
AU - Miwakeichi, Fumikazu
AU - Yamaguchi, Yoko
AU - Martinez, Pablo
AU - Salinari, Serenella
AU - Tocci, Andrea
AU - Bakardjian, Hovagim
AU - Vialatte, Francois Benoit
AU - Cichocki, Andrzej
PY - 2006
Y1 - 2006
N2 - Eye movements and blinks may produce unusual voltage changes that propagates from the eyeball through the head as volume conductor up to the scalp electrodes, generating severe electroencephalographic artifacts. Several methods are now available to correct the distortion Induced by these events on the EEG, having different advantages and drawbacks. The main focus of this work is to quantify the performance of the removal of EOG artifact due to the application of the independent component analysis (ICA) methodology. The precise quantification of the effects of artifact removal by ICA is possible by using a simulation setup, with a realistic head model, that it is able to mimic the occurrence of an eye blink. The electrical activity generated by the simulated eyeblink were propagated through the realistic head model and superimposed to a clean segment of EEG. Then, artifact removal was performed by using the ICA approach. Ocular artifact removal was evaluated in different operative conditions, characterized by different Signal to Noise Ratio and number of electrodes. The error measures used were the Relative Error and the Correlation Coefficient between the clear, original EEG segment and those obtained after the application of the ICA procedure.
AB - Eye movements and blinks may produce unusual voltage changes that propagates from the eyeball through the head as volume conductor up to the scalp electrodes, generating severe electroencephalographic artifacts. Several methods are now available to correct the distortion Induced by these events on the EEG, having different advantages and drawbacks. The main focus of this work is to quantify the performance of the removal of EOG artifact due to the application of the independent component analysis (ICA) methodology. The precise quantification of the effects of artifact removal by ICA is possible by using a simulation setup, with a realistic head model, that it is able to mimic the occurrence of an eye blink. The electrical activity generated by the simulated eyeblink were propagated through the realistic head model and superimposed to a clean segment of EEG. Then, artifact removal was performed by using the ICA approach. Ocular artifact removal was evaluated in different operative conditions, characterized by different Signal to Noise Ratio and number of electrodes. The error measures used were the Relative Error and the Correlation Coefficient between the clear, original EEG segment and those obtained after the application of the ICA procedure.
KW - EEG
KW - EOG
KW - High resolution EEG
KW - ICA
KW - Realistic head model
UR - http://www.scopus.com/inward/record.url?scp=34047092364&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34047092364&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2006.260593
DO - 10.1109/IEMBS.2006.260593
M3 - Conference contribution
AN - SCOPUS:34047092364
SN - 1424400325
SN - 9781424400324
SP - 976
EP - 979
BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ER -