Ensemble De-Noising of Spatio-Temporal EEG and MEG Data
Ensemble De-Noising of Spatio-Temporal EEG and MEG Data
We present a de-noising method for spatio-temporal EEG/MEG data that incorporates pre-stimulus and spatial information to estimate the noise and signal energies and select a robust de-noising threshold. Improved performance over standard de-noising is demonstrated.
0-902683-36-5
33-36
Weiss, S
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Leahy, R M
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Mosher, J C
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Stewart, R W
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August 1997
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Leahy, R M
7ef4a44c-bdd9-4b10-a668-ffdc407cfd22
Mosher, J C
5275c3b0-717e-4ecf-a71a-083dfeb07aa3
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S, Leahy, R M, Mosher, J C and Stewart, R W
(1997)
Ensemble De-Noising of Spatio-Temporal EEG and MEG Data.
IEEE UK Symposium on Applications of Time-Frequency and Time-Scale Methods.
.
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Abstract
We present a de-noising method for spatio-temporal EEG/MEG data that incorporates pre-stimulus and spatial information to estimate the noise and signal energies and select a robust de-noising threshold. Improved performance over standard de-noising is demonstrated.
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weiss97a.pdf
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Published date: August 1997
Additional Information:
Organisation: IEEE Address: , University of Warwick, Coventry, UK
Venue - Dates:
IEEE UK Symposium on Applications of Time-Frequency and Time-Scale Methods, 1997-08-01
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 251909
URI: http://eprints.soton.ac.uk/id/eprint/251909
ISBN: 0-902683-36-5
PURE UUID: f85300b1-b098-4f7d-9515-17376195b83d
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Date deposited: 08 Nov 2000
Last modified: 14 Mar 2024 05:13
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Contributors
Author:
S Weiss
Author:
R M Leahy
Author:
J C Mosher
Author:
R W Stewart
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