Detecting MMN in Infants EEG with Singular Value Decomposition
(2005) 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. p.4227-4230- 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 USigmaVT = 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... (More)
- 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 USigmaVT = 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 (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/627399
- author
- Sandberg, Johan LU ; Sandsten, Maria LU and Lindgren, Magnus LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005
- pages
- 4227 - 4230
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005.
- conference location
- Shanghai, China
- conference dates
- 2005-09-01 - 2005-09-04
- external identifiers
-
- wos:000238998403228
- scopus:33846933958
- ISBN
- 0-7803-8741-4
- DOI
- 10.1109/IEMBS.2005.1615397
- language
- English
- LU publication?
- yes
- id
- 8fc3e1a3-08d6-460b-ae40-957327addf0e (old id 627399)
- date added to LUP
- 2016-04-04 11:56:02
- date last changed
- 2022-01-29 22:41:47
@inproceedings{8fc3e1a3-08d6-460b-ae40-957327addf0e, 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 USigmaVT = 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}}, author = {{Sandberg, Johan and Sandsten, Maria and Lindgren, Magnus}}, booktitle = {{27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005}}, isbn = {{0-7803-8741-4}}, language = {{eng}}, pages = {{4227--4230}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Detecting MMN in Infants EEG with Singular Value Decomposition}}, url = {{http://dx.doi.org/10.1109/IEMBS.2005.1615397}}, doi = {{10.1109/IEMBS.2005.1615397}}, year = {{2005}}, }