Epileptic seizure detection on patients with mental retardation based on EEG features : a pilot study

L. Wang, P.J.M. Cluitmans, J.B.A.M. Arends, Y. Wu, A.V. Sazonov

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

ntal retardation (MR) is one of the most common secondary disabilities in people with Epilepsy. However, to our knowledge there are no reliable seizure detection methods specified for MR-patients. In this paper we performed a pilot study on a group of six patients with mental retardation to assess what EEG features potentially work well on this group. A group of EEG features on the time, frequency and spatio-temporal domain were extracted, the modified wrapper approach was then employed as an improved feature subset selection method. Results show high variance on obtained features subset across this group, meanwhile there exist some common features which characterize the high-frequency components of epileptic EEG signals.
Originele taal-2Engels
Titel37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, 26-29 August 2015, Milan, Italy
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's578-581
DOI's
StatusGepubliceerd - 25 aug 2015

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Wang, L., Cluitmans, P. J. M., Arends, J. B. A. M., Wu, Y., & Sazonov, A. V. (2015). Epileptic seizure detection on patients with mental retardation based on EEG features : a pilot study. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, 26-29 August 2015, Milan, Italy (blz. 578-581). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2015.7318428