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Single-trial event-...
Single-trial event-related potential extraction through one-unit ICA-with-reference
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- Lee, Wee Lih (author)
- Department of Electrical and Computer Engineering, Curtin University, Perth, Australia
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- Tan, Tele (author)
- Department of Mechanical Engineering, Curtin University, Perth, AustraliaDepartment of Mechanical Engineering, Curtin University, Perth, Australia
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- Falkmer, Torbjörn (author)
- Linköpings universitet,Jönköping University,HHJ. CHILD,HHJ, Avdelningen för rehabilitering,School of Occupational Therapy and Social Works, Curtin University, Perth, Australia,Avdelningen för samhällsmedicin,Medicinska fakulteten,Region Östergötland, Smärt och rehabiliteringscentrum
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- Leung, Yee Hong (author)
- Department of Electrical and Computer Engineering, Curtin University, Perth, Australia
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(creator_code:org_t)
- 2016-10-14
- 2016
- English.
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In: Journal of Neural Engineering. - : IOP Publishing. - 1741-2560 .- 1741-2552. ; 13:6
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Objective. In recent years, ICA has been one of the more popular methods for extracting event-related potential (ERP) at the single-trial level. It is a blind source separation technique that allows the extraction of an ERP without making strong assumptions on the temporal and spatial characteristics of an ERP. However, the problem with traditional ICA is that the extraction is not direct and is time-consuming due to the need for source selection processing. In this paper, the application of an one-unit ICA-with-Reference (ICA-R), a constrained ICA method, is proposed.Approach. In cases where the time-region of the desired ERP is known a priori, this time information is utilized to generate a reference signal, which is then used for guiding the one-unit ICA-R to extract the source signal of the desired ERP directly.Main results. Our results showed that, as compared to traditional ICA, ICA-R is a more effective method for analysing ERP because it avoids manual source selection and it requires less computation thus resulting in faster ERP extraction.Significance. In addition to that, since the method is automated, it reduces the risks of any subjective bias in the ERP analysis. It is also a potential tool for extracting the ERP in online application.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Neurosciences (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
Keyword
- constrained independent component analysis
- event-related potential
- independent component analysis
- one-unit ICA-R
- P300
- single-trial extraction
- Blind source separation
- Extraction
- Risk assessment
- Signal processing
- Event related potentials
- Single trial
Publication and Content Type
- ref (subject category)
- art (subject category)
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