NDLI: An energy-based detection algorithm of epileptic seizures in EEG records

Content Provider	IEEE Xplore Digital Library
Author	Garces Correa, A. Laciar, E. Orosco, L. Gomez, M.E. Otoya, R. Jane, R.
Copyright Year	2009
Description	Author affiliation: Dept. ESAII, Universitat Politècnica de Catalunya, Institut de Bioenginyeria de Catalunya (IBEC) and CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, España (Jane, R.) \|\| Servicio de Neurología, Hospital H. Notti,. Mendoza, Argentina (Otoya, R.) \|\| Gabinete de Tecnología Medica, Facultad de Ingeniería, Universidad Nacional de San Juan, San Juan, Argentina (Garces Correa, A.; Laciar, E.; Orosco, L.; Gomez, M.E.)
Abstract	A simple algorithm to automatically detect segments with epileptic seizures in long EEG records has been developed. The main advantages of the proposed method are: the simple algorithm used and the lower computational cost. The algorithm measures the energy of each EEG channel by a sliding window and calculates some features of each patient signal to detect the epileptic seizure. It is also able to distinguish between seizures and noise artifacts. Nine invasive EEG records acquired by Epilepsy Center of the University Hospital of Freiburg were analyzed in this work. In 90 segments studied (39 with epileptic seizures) the sensitivity obtained with the method is 87.18 %. The algorithm is appropriate to detect epileptic seizures, with high sensitivity, in long EEG records to decrease the time used by physicians and specialists in visual inspections.
Starting Page	1384
Ending Page	1387
File Size	752137
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detection algorithms Epilepsy Electroencephalography Inspection Brain Computational efficiency Algorithm design and analysis Energy measurement Signal detection Hospitals
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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