The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 25 of 29
Back to Result List

Enhancing the signal-to-noise ratio of ICA-based extracted ERPs

  • When decomposing single trial electroencephalography it is a challenge to incorporate prior physiological knowledge. Here, we develop a method that uses prior information about the phase-locking property of event-related potentials in a regularization framework to bias a blind source separation algorithm toward an improved separation of single-trial phase-locked responses in terms of an increased signal-to-noise ratio. In particular, we suggest a transformation of the data, using weighted average of the single trial and trial-averaged response, that redirects the focus of source separation methods onto the subspace of event-related potentials. The practical benefit with respect to an improved separation of such components from ongoing background activity and extraneous noise is first illustrated on artificial data and finally verified in a real-world application of extracting single-trial somatosensory evoked potentials from multichannel EEG-recordings

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Steven Lemm, Gabriel Curio, Yevhen Hlushchuk, Klaus-Robert Müller
URL:http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10
DOI:https://doi.org/10.1109/Tbme.2006.870258
ISSN:0018-9294
Publication type:Article
Language:English
Year of first publication:2006
Publication year:2006
Release date:2017/03/24
Source:IEEE transactions on biomedical engineering. - ISSN 0018-9294. - 53 (2006), 4, S. 601 - 607
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.