Seizure detection using dynamic warping for patients with intellectual disability

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Abstract

Electroencephalography (EEG) is paramount for both retrospective analysis and real-time monitoring of epileptic seizures. Studies have shown that EEG-based seizure detection is very difficult for a specific epileptic population with intellectual disability due to the cerebral development disorders. In this work, a seizure detection method based on dynamic warping (DW) is proposed for patients with intellectual disability. It uses an EEG template of an individual subject's dominant seizure type, to extract the morphological features from EEG signals. A linear discriminant analysis (LDA) classifier is used to perform the seizure detection. Results show that the DW-based feature in the frequency domain is superior than that in the time domain, and the features extracted using wavelet transform method.
Original languageEnglish
Title of host publication38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'16), 16-20 August 2016, Orlando, Florida
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1010-1013
Number of pages4
ISBN (Electronic)978-1-4577-0220-4
DOIs
Publication statusPublished - 18 Oct 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016) - Disney’s Contemporary Resort , Orlando, United States
Duration: 16 Aug 201620 Aug 2016
Conference number: 38
http://embc.embs.org/2016/

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016)
Abbreviated titleEMBC 2016
CountryUnited States
CityOrlando
Period16/08/1620/08/16
Internet address

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Keywords

  • Electroencephalography
  • Feature extraction
  • Epilepsy
  • Seizures
  • Dynamic warping
  • Patient monitoring

Cite this

Wang, L., Arends, J. B. A. M., Long, X., Wu, Y., & Cluitmans, P. J. M. (2016). Seizure detection using dynamic warping for patients with intellectual disability. In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'16), 16-20 August 2016, Orlando, Florida (pp. 1010-1013). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2016.7590873