AnEnsemble De-Noising Method for Spatio-Temporal EEG / MEG Data
Weiss, S, Leahy, R M, Mosher, J C and Stewart, R W (1997) AnEnsemble De-Noising Method for Spatio-Temporal EEG / MEG Data. Applied Signal Processing, 4, (3), 142-153.
Download
![[img]](http://eprints.soton.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
Download (216Kb) |
![[img]](http://eprints.soton.ac.uk/style/images/fileicons/application_postscript.png) |
Postscript
Download (216Kb) |
Description/Abstract
EEG/MEG are important tools for non-invasive medical diagnosis and basic studies of the brain and its functioning, but often applications are limited due to a very low SNR in the data. Here, we present a discrete wavelet transform (DWT) based de-noising method for spatio-temporal EEG/MEG measurements collected by a sensor array. A robust threshold selection can be achieved by incorporating spatial information and pre-stimulus data to estimate signal and noise energies. Further improvement can be gained by applying a translation-invariant approach to the derived de-noising scheme. In simulations, the performance of the proposed method is evaluated in comparison to standard de-noising and low-rank approximation, which offers some complementarity to our approach.
| Item Type: | Article |
|---|---|
| ISSNs: | 0941-0635 |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science |
| Item ID: | 251912 |
| Date Deposited: | 11 Dec 2003 |
| Last Modified: | 02 Mar 2012 13:18 |
| Contributors: | Weiss, S (Author) Leahy, R M (Author) Mosher, J C (Author) Stewart, R W (Author) |
| Date: | 1997 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/251912 |
Actions (login required)
 |
View Item |
