SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:hj-34455"
 

Search: onr:"swepub:oai:DiVA.org:hj-34455" > Single-trial event-...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Single-trial event-related potential extraction through one-unit ICA-with-reference

Lee, Wee Lih (author)
Department of Electrical and Computer Engineering, Curtin University, Perth, Australia
Tan, Tele (author)
Department of Mechanical Engineering, Curtin University, Perth, AustraliaDepartment of Mechanical Engineering, Curtin University, Perth, Australia
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
show more...
Leung, Yee Hong (author)
Department of Electrical and Computer Engineering, Curtin University, Perth, Australia
show less...
 (creator_code:org_t)
2016-10-14
2016
English.
In: Journal of Neural Engineering. - : IOP Publishing. - 1741-2560 .- 1741-2552. ; 13:6
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • 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)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Lee, Wee Lih
Tan, Tele
Falkmer, Torbjör ...
Leung, Yee Hong
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Signal Processin ...
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Basic Medicine
and Neurosciences
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Medical Biotechn ...
and Biomedical Labor ...
Articles in the publication
Journal of Neura ...
By the university
Jönköping University
Linköping University

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view