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On the analysis of single versus multiple channels of electromagnetic brain signals
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James, C. J., Gibson, Oliver and Davies, Mike (2006) On the analysis of single versus multiple channels of electromagnetic brain signals. Artificial Intelligence in Medicine, Vol. 37 (No. 2). pp. 131-143. doi:10.1016/j.artmed.2006.03.003 ISSN 09333657.
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Official URL: http://dx.doi.org/10.1016/j.artmed.2006.03.003
Abstract
Objective
When extracting information from electromagnetic (EM) brain function through recordings such as the electroencephalogram (EEG) it is often assumed that signal processing techniques must be applied to multiple simultaneous recordings in order to obtain useful results. However, sometimes only a single channel of EEG recording is available or desirable. In this paper we objectively assess a novel methodology which exploits only a single measurement channel to extract information of interest relatively independent of channel location (relative to the source of interest).
Methods
The method relies on a combination of a matrix of delay vectors constructed from the single channel measurement, along with constrained independent component analysis, which incorporates prior information into the process.
Materials
Here, we use synthetically generated seizure EEG, composed of real, normal multi-channel EEG onto which is superimposed synthetic epileptic “seizure-like” activity, at different signal-to-noise (SNR) levels, through an equivalent current dipole model.
Results
We show that the method can extract desired information from single channels with a reasonable accuracy even at very small SNR and from channels distant from the focus of the activity. This provides a powerful technique capable of extracting multiple sources underlying single channel recordings and will be useful in situations where only single channel EM recordings of brain function are desirable, such as would be the case in wearable or implantable recording devices.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
Journal or Publication Title: | Artificial Intelligence in Medicine | ||||
Publisher: | Elsevier BV | ||||
ISSN: | 09333657 | ||||
Official Date: | 2006 | ||||
Dates: |
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Volume: | Vol. 37 | ||||
Number: | No. 2 | ||||
Page Range: | pp. 131-143 | ||||
DOI: | 10.1016/j.artmed.2006.03.003 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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