Detection of tonic epileptic seizures based on surface electromyography

Sigge N. Larsen, Isa Conradsen, Sandor Beniczky, Helge Bjarup Dissing Sørensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The purpose of this project was to design an algorithm for detection of tonic seizures based on surface electromyography signals from the deltoids. A successful algorithm has a future prospect of being implemented in a wearable device as part of an alarm system. This has already been done for generalized tonic-clonic seizures, and the hypothesis was that some of the same characteristics could be found for tonic seizures. The signals were pre-processed by a high-pass filter to remove low frequency noise such as movement artifacts. Several different features were investigated, including kurtosis, median frequency, zero crossing rate and approximate entropy. These features were used as input in the random forest classifier to decide if a data segment was from a seizure or not. The goal was to develop a generic algorithm for all tonic seizures, but better results were achieved when certain parameters were adapted specifically for each patient. With patient specific parameters the algorithm obtained a sensitivity of 100% for four of six patients with false detection rates between 0.08 and 7.90 per hour.
Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
Publication date2014
Pages942-945
ISBN (Print)978-1-4244-7929-0
DOIs
Publication statusPublished - 2014
Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
Duration: 26 Aug 201430 Aug 2014
Conference number: 36
http://embc.embs.org/2014/

Conference

Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number36
CountryUnited States
CityChicago, IL
Period26/08/201430/08/2014
Internet address

Keywords

  • Bioengineering
  • Alarm systems
  • Electroencephalography
  • Epilepsy
  • Feature extraction
  • Radio frequency
  • Sensitivity
  • Vegetation

Cite this

Larsen, S. N., Conradsen, I., Beniczky, S., & Sørensen, H. B. D. (2014). Detection of tonic epileptic seizures based on surface electromyography. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 942-945). IEEE. https://doi.org/10.1109/EMBC.2014.6943747