Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis.
We present two techniques utilizing independent component analysis (ICA) to remove large muscle artifacts from transcranial magnetic stimulation (TMS)-evoked EEG signals. The first one is a novel semi-automatic technique, called enhanced deflation method (EDM). EDM is a modification of the deflation...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 49; no. 4; pp. 397 - 408 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Apr2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104571033&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104571033 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2011 vid: 49 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104571033 NLM21331656 2010997752 10.1007/s11517-011-0748-9 NLM21331656 104571033 ppf: 397 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis. aug: au: Korhonen RJ Hernandez-Pavon JC Metsomaa J Mäki H Ilmoniemi RJ Sarvas J Korhonen, Reeta J Hernandez-Pavon, Julio C Metsomaa, Johanna Mäki, Hanna Ilmoniemi, Risto J Sarvas, Jukka affil: Department of Biomedical Engineering and Computational Science, Aalto University, Aalto, PO Box 12200, 00076 Espoo, Finland sug: subj: Muscle, Skeletal Physiology Signal Processing, Computer Assisted Diagnosis, Neurologic Methods Adult Artifacts Brain Mapping Methods Electroencephalography Methods Evoked Potentials Physiology Female Frontal Lobe Physiology Male Young Adult Adult: 19-44 years Female Male ab: We present two techniques utilizing independent component analysis (ICA) to remove large muscle artifacts from transcranial magnetic stimulation (TMS)-evoked EEG signals. The first one is a novel semi-automatic technique, called enhanced deflation method (EDM). EDM is a modification of the deflation mode of the FastICA algorithm; with an enhanced independent component search, EDM is an effective tool for removing the large, spiky muscle artifacts. The second technique, called manual method (MaM) makes use of the symmetric mode of FastICA and the artifactual components are visually selected by the user. In order to evaluate the success of the artifact removal methods, four different quality parameters, based on curve comparison and frequency analysis, were studied. The dorsal premotor cortex (dPMC) and Broca's area (BA) were stimulated with TMS. Both methods removed the very large muscle artifacts recorded after stimulation of these brain areas. However, EDM was more stable, less subjective, and thus also faster to use than MaM. Until now, examining lateral areas of the cortex with TMS-EEG has been restricted because of strong muscle artifacts. The methods described here can remove those muscle artifacts, allowing one to study lateral areas of the human brain, e.g., BA, with TMS-EEG. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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