Detecting MMN in Infants EEG with Singular Value Decomposition.

Johan Sandberg; M Hansson; Magnus Lindgren

Detecting MMN in Infants EEG with Singular Value Decomposition.

Johan Sandberg, M Hansson, Magnus Lindgren

Forskningsoutput: Tidskriftsbidrag › Publicerat konferensabstract › Peer review

Originalspråk	engelska
Tidskrift	[Publication information missing]
Status	Published - 2005
Evenemang	27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Shanghai Varaktighet: 2005 sep. 1 → 2005 sep. 4

Bibliografisk information

Abstract:
Mismatch Negativity (MMN) is an EEG voltage fluctuation caused by the brain’s automatic reaction to unexpected changes in a repetitive stimulation. In an experiment we studied 68 infants of which 2/3 were born preterm. Due to noise of large amplitude, the MMN is difficult to detect in a single infant’s EEG. Therefore grand average, which is a average of many subjects EEG recordings, is sometimes used. In this paper Singular Value Decomposition (SVD) is proposed as an alternative to grand average. Consider the SVD USV2= M, where the rows of M contains noisy EEG epochs. Usually data is projected onto the leftmost column of V since this column represent the largest common component of the rows of M. When data is affected by noise of a very large amplitude we may need to choose another column of V. In this paper we propose to choose the leftmost column of V such that the elements of the corresponding column of U has approximately equal values.

Ämnesklassifikation (UKÄ)

Psykologi
Sannolikhetsteori och statistik

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title = "Detecting MMN in Infants EEG with Singular Value Decomposition.",

author = "Johan Sandberg and M Hansson and Magnus Lindgren",

note = "Abstract: Mismatch Negativity (MMN) is an EEG voltage fluctuation caused by the brain{\textquoteright}s automatic reaction to unexpected changes in a repetitive stimulation. In an experiment we studied 68 infants of which 2/3 were born preterm. Due to noise of large amplitude, the MMN is difficult to detect in a single infant{\textquoteright}s EEG. Therefore grand average, which is a average of many subjects EEG recordings, is sometimes used. In this paper Singular Value Decomposition (SVD) is proposed as an alternative to grand average. Consider the SVD USV2= M, where the rows of M contains noisy EEG epochs. Usually data is projected onto the leftmost column of V since this column represent the largest common component of the rows of M. When data is affected by noise of a very large amplitude we may need to choose another column of V. In this paper we propose to choose the leftmost column of V such that the elements of the corresponding column of U has approximately equal values.; 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 01-09-2005 Through 04-09-2005",

year = "2005",

language = "English",

journal = "[Publication information missing]",

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TY - JOUR

T1 - Detecting MMN in Infants EEG with Singular Value Decomposition.

AU - Sandberg, Johan

AU - Hansson, M

AU - Lindgren, Magnus

N1 - Abstract: Mismatch Negativity (MMN) is an EEG voltage fluctuation caused by the brain’s automatic reaction to unexpected changes in a repetitive stimulation. In an experiment we studied 68 infants of which 2/3 were born preterm. Due to noise of large amplitude, the MMN is difficult to detect in a single infant’s EEG. Therefore grand average, which is a average of many subjects EEG recordings, is sometimes used. In this paper Singular Value Decomposition (SVD) is proposed as an alternative to grand average. Consider the SVD USV2= M, where the rows of M contains noisy EEG epochs. Usually data is projected onto the leftmost column of V since this column represent the largest common component of the rows of M. When data is affected by noise of a very large amplitude we may need to choose another column of V. In this paper we propose to choose the leftmost column of V such that the elements of the corresponding column of U has approximately equal values.

PY - 2005

Y1 - 2005

M3 - Published meeting abstract

JO - [Publication information missing]

JF - [Publication information missing]

T2 - 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 1 September 2005 through 4 September 2005

ER -