DocumentCode
1995047
Title
Line length: an efficient feature for seizure onset detection
Author
Esteller, R. ; Echauz, J. ; Tcheng, T. ; Litt, B. ; Pless, B.
Volume
2
fYear
2001
fDate
2001
Firstpage
1707
Abstract
A signal feature with low computational burden is presented as an efficient tool for seizure onset detection. The feature was evaluated over a total of. 1,215 hours of intracranial EEG signal from 10 patients. Results confirmed this feature as being useful for seizure onset detection yielding an average delay of 4.1 seconds, 0.051 false positives per hour, and one false negative on a subclinical seizure out of 111 seizures analyzed of which 23 were subclinical.
Keywords
diseases; electroencephalography; feature extraction; fractals; medical signal processing; signal classification; epileptic seizure onset detection; fractal dimension; intracranial EEG; line length; low computational burden; normalization; patient-specific tunable parameter; preictal period; signal feature; summation indexes; Computer vision; Data mining; Delay; Electroencephalography; Feature extraction; Finite impulse response filter; Fractals; Frequency domain analysis; Intelligent systems; Nervous system;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1020545
Filename
1020545
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