A new method: To determine the applicability of linear ICA to a given problem. (High lighted by an EEG case study applied to epilepsy)

C. P. Unsworth; J. J. Spowart; G. Lawson; J. K. Brown; B. Mulgrew; R. A. Minns; M. Clark

A new method: To determine the applicability of linear ICA to a given problem. (High lighted by an EEG case study applied to epilepsy)

C. P. Unsworth^*, J. J. Spowart, G. Lawson, J. K. Brown, B. Mulgrew, R. A. Minns, M. Clark

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

A new method, in the form of a hypothesis test, is presented that compares the eigenvalues of a multi-channel data set to eigenvalues of a synthetic mixture. The synthetic mixture is created from a set of independent components (IC's) that have been demixed from the original data. The IC's are then repropagated from a fictitious source space to a set of fictitious sensors under ICA rules. The hypothesis is: if the real data has been formed in compliance to the ICA rules then its eigenvalues should be the same as the synthetic mixture formed from the repropagated IC's. The hypothesis test is a general method and can be applied to any ICA problem. Here four common cases of epileptic seizure from electroencephalogram (EEG) records are used to highlight the method for a real case study

Original language	English
Title of host publication	2004 Sensor Array and Multichannel Signal Processing Workshop
Pages	182-185
Number of pages	4
Publication status	Published - 1 Dec 2004
Event	2004 Sensor Array and Multichannel Signal Processing Workshop - Barcelona, Spain Duration: 18 Jul 2004 → 21 Jul 2004

Conference

Conference	2004 Sensor Array and Multichannel Signal Processing Workshop
Country/Territory	Spain
City	Barcelona
Period	18/07/04 → 21/07/04

Cite this

@inproceedings{ad382e5d05214a30a604268b85257b84,

title = "A new method: To determine the applicability of linear ICA to a given problem. (High lighted by an EEG case study applied to epilepsy)",

abstract = "A new method, in the form of a hypothesis test, is presented that compares the eigenvalues of a multi-channel data set to eigenvalues of a synthetic mixture. The synthetic mixture is created from a set of independent components (IC's) that have been demixed from the original data. The IC's are then repropagated from a fictitious source space to a set of fictitious sensors under ICA rules. The hypothesis is: if the real data has been formed in compliance to the ICA rules then its eigenvalues should be the same as the synthetic mixture formed from the repropagated IC's. The hypothesis test is a general method and can be applied to any ICA problem. Here four common cases of epileptic seizure from electroencephalogram (EEG) records are used to highlight the method for a real case study",

author = "Unsworth, {C. P.} and Spowart, {J. J.} and G. Lawson and Brown, {J. K.} and B. Mulgrew and Minns, {R. A.} and M. Clark",

year = "2004",

month = dec,

day = "1",

language = "English",

isbn = "0780385454",

pages = "182--185",

booktitle = "2004 Sensor Array and Multichannel Signal Processing Workshop",

note = "2004 Sensor Array and Multichannel Signal Processing Workshop ; Conference date: 18-07-2004 Through 21-07-2004",

}

Unsworth, CP, Spowart, JJ, Lawson, G, Brown, JK, Mulgrew, B, Minns, RA & Clark, M 2004, A new method: To determine the applicability of linear ICA to a given problem. (High lighted by an EEG case study applied to epilepsy). in 2004 Sensor Array and Multichannel Signal Processing Workshop. pp. 182-185, 2004 Sensor Array and Multichannel Signal Processing Workshop, Barcelona, Spain, 18/07/04.

TY - GEN

T1 - A new method

T2 - 2004 Sensor Array and Multichannel Signal Processing Workshop

AU - Unsworth, C. P.

AU - Spowart, J. J.

AU - Lawson, G.

AU - Brown, J. K.

AU - Mulgrew, B.

AU - Minns, R. A.

AU - Clark, M.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - A new method, in the form of a hypothesis test, is presented that compares the eigenvalues of a multi-channel data set to eigenvalues of a synthetic mixture. The synthetic mixture is created from a set of independent components (IC's) that have been demixed from the original data. The IC's are then repropagated from a fictitious source space to a set of fictitious sensors under ICA rules. The hypothesis is: if the real data has been formed in compliance to the ICA rules then its eigenvalues should be the same as the synthetic mixture formed from the repropagated IC's. The hypothesis test is a general method and can be applied to any ICA problem. Here four common cases of epileptic seizure from electroencephalogram (EEG) records are used to highlight the method for a real case study

AB - A new method, in the form of a hypothesis test, is presented that compares the eigenvalues of a multi-channel data set to eigenvalues of a synthetic mixture. The synthetic mixture is created from a set of independent components (IC's) that have been demixed from the original data. The IC's are then repropagated from a fictitious source space to a set of fictitious sensors under ICA rules. The hypothesis is: if the real data has been formed in compliance to the ICA rules then its eigenvalues should be the same as the synthetic mixture formed from the repropagated IC's. The hypothesis test is a general method and can be applied to any ICA problem. Here four common cases of epileptic seizure from electroencephalogram (EEG) records are used to highlight the method for a real case study

UR - http://www.scopus.com/inward/record.url?scp=28244473358&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:28244473358

SN - 0780385454

SN - 9780780385450

SP - 182

EP - 185

BT - 2004 Sensor Array and Multichannel Signal Processing Workshop

Y2 - 18 July 2004 through 21 July 2004

ER -

A new method: To determine the applicability of linear ICA to a given problem. (High lighted by an EEG case study applied to epilepsy)

Abstract / Description of output

Conference

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