A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling
Artifact Subspace Reconstruction (ASR) is an adaptive method for the online or offline correction of artifacts comprising multichannel electroencephalography (EEG) recordings. It repeatedly computes a principal component analysis (PCA) on covariance matrices to detect artifacts based on their statis...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-04-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2019.00141/full |
| _version_ | 1818935524895752192 |
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| author | Sarah Blum Nadine S. J. Jacobsen Martin G. Bleichner Stefan Debener |
| author_facet | Sarah Blum Nadine S. J. Jacobsen Martin G. Bleichner Stefan Debener |
| author_sort | Sarah Blum |
| collection | DOAJ |
| description | Artifact Subspace Reconstruction (ASR) is an adaptive method for the online or offline correction of artifacts comprising multichannel electroencephalography (EEG) recordings. It repeatedly computes a principal component analysis (PCA) on covariance matrices to detect artifacts based on their statistical properties in the component subspace. We adapted the existing ASR implementation by using Riemannian geometry for covariance matrix processing. EEG data that were recorded on smartphone in both outdoors and indoors conditions were used for evaluation (N = 27). A direct comparison between the original ASR and Riemannian ASR (rASR) was conducted for three performance measures: reduction of eye-blinks (sensitivity), improvement of visual-evoked potentials (VEPs) (specificity), and computation time (efficiency). Compared to ASR, our rASR algorithm performed favorably on all three measures. We conclude that rASR is suitable for the offline and online correction of multichannel EEG data acquired in laboratory and in field conditions. |
| first_indexed | 2024-12-20T05:21:33Z |
| format | Article |
| id | doaj.art-3bc7b1644b0147f7a294e502c23aff24 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-20T05:21:33Z |
| publishDate | 2019-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-3bc7b1644b0147f7a294e502c23aff242022-12-21T19:51:59ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612019-04-011310.3389/fnhum.2019.00141421678A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact HandlingSarah BlumNadine S. J. JacobsenMartin G. BleichnerStefan DebenerArtifact Subspace Reconstruction (ASR) is an adaptive method for the online or offline correction of artifacts comprising multichannel electroencephalography (EEG) recordings. It repeatedly computes a principal component analysis (PCA) on covariance matrices to detect artifacts based on their statistical properties in the component subspace. We adapted the existing ASR implementation by using Riemannian geometry for covariance matrix processing. EEG data that were recorded on smartphone in both outdoors and indoors conditions were used for evaluation (N = 27). A direct comparison between the original ASR and Riemannian ASR (rASR) was conducted for three performance measures: reduction of eye-blinks (sensitivity), improvement of visual-evoked potentials (VEPs) (specificity), and computation time (efficiency). Compared to ASR, our rASR algorithm performed favorably on all three measures. We conclude that rASR is suitable for the offline and online correction of multichannel EEG data acquired in laboratory and in field conditions.https://www.frontiersin.org/article/10.3389/fnhum.2019.00141/fullRiemannmobile EEGASRBCIneuroergonomicsPCA |
| spellingShingle | Sarah Blum Nadine S. J. Jacobsen Martin G. Bleichner Stefan Debener A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling Frontiers in Human Neuroscience Riemann mobile EEG ASR BCI neuroergonomics PCA |
| title | A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling |
| title_full | A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling |
| title_fullStr | A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling |
| title_full_unstemmed | A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling |
| title_short | A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling |
| title_sort | riemannian modification of artifact subspace reconstruction for eeg artifact handling |
| topic | Riemann mobile EEG ASR BCI neuroergonomics PCA |
| url | https://www.frontiersin.org/article/10.3389/fnhum.2019.00141/full |
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