Feature-based detection of epileptic seizures using ECoG recordings and a PAM model

Elizabeth S. Hughes; William D. Gaillard; Garry M. Jacyna; Steven Schiff

Feature-based detection of epileptic seizures using ECoG recordings and a PAM model

Elizabeth S. Hughes
, William D. Gaillard
, Garry M. Jacyna
, Steven Schiff

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper develops a detection scheme for identifying seizure onset using single channel electrocorticograms recorded from intractable epilepsy patients. A statistic which measures changes in the peaks of the autocovariance function of a signal is developed based upon a pulse amplitude modulation model. This method is useful both for detecting seizure onset and for localizing the seizure focus within the cortical tissue by comparing data collected from multiple electrodes.

Original language	English (US)
Pages (from-to)	933-934
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	17
Issue number	2
State	Published - Dec 1 1995
Event	Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can Duration: Sep 20 1995 → Sep 23 1995

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

@article{5846dedd3b084690b59a68d4d24b8dc5,

title = "Feature-based detection of epileptic seizures using ECoG recordings and a PAM model",

abstract = "This paper develops a detection scheme for identifying seizure onset using single channel electrocorticograms recorded from intractable epilepsy patients. A statistic which measures changes in the peaks of the autocovariance function of a signal is developed based upon a pulse amplitude modulation model. This method is useful both for detecting seizure onset and for localizing the seizure focus within the cortical tissue by comparing data collected from multiple electrodes.",

author = "Hughes, \{Elizabeth S.\} and Gaillard, \{William D.\} and Jacyna, \{Garry M.\} and Steven Schiff",

year = "1995",

month = dec,

day = "1",

language = "English (US)",

volume = "17",

pages = "933--934",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

note = "Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) ; Conference date: 20-09-1995 Through 23-09-1995",

}

Feature-based detection of epileptic seizures using ECoG recordings and a PAM model. / Hughes, Elizabeth S.; Gaillard, William D.; Jacyna, Garry M. et al.
In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 17, No. 2, 01.12.1995, p. 933-934.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Feature-based detection of epileptic seizures using ECoG recordings and a PAM model

AU - Hughes, Elizabeth S.

AU - Gaillard, William D.

AU - Jacyna, Garry M.

AU - Schiff, Steven

PY - 1995/12/1

Y1 - 1995/12/1

N2 - This paper develops a detection scheme for identifying seizure onset using single channel electrocorticograms recorded from intractable epilepsy patients. A statistic which measures changes in the peaks of the autocovariance function of a signal is developed based upon a pulse amplitude modulation model. This method is useful both for detecting seizure onset and for localizing the seizure focus within the cortical tissue by comparing data collected from multiple electrodes.

AB - This paper develops a detection scheme for identifying seizure onset using single channel electrocorticograms recorded from intractable epilepsy patients. A statistic which measures changes in the peaks of the autocovariance function of a signal is developed based upon a pulse amplitude modulation model. This method is useful both for detecting seizure onset and for localizing the seizure focus within the cortical tissue by comparing data collected from multiple electrodes.

UR - https://www.scopus.com/pages/publications/0029428669

UR - https://www.scopus.com/pages/publications/0029428669#tab=citedBy

M3 - Conference article

AN - SCOPUS:0029428669

SN - 0589-1019

VL - 17

SP - 933

EP - 934

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

IS - 2

T2 - Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2)

Y2 - 20 September 1995 through 23 September 1995

ER -

Feature-based detection of epileptic seizures using ECoG recordings and a PAM model

Abstract

All Science Journal Classification (ASJC) codes

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