Generic Single-Channel Detection of Absence Seizures

Eline B. Petersen, Jonas Duun-Henriksen, Andrea Mazzaretto, Troels W. Kjær, Carsten E. Thomsen, Helge Bjarup Dissing Sørensen

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

386 Downloads (Pure)


A long-term EEG-monitoring system, which automatically marks seizure events, is useful for diagnosing and treating epilepsy. A generic method utilizing the low interand intra-patient variabilities in EEG-characteristics during absence seizures is proposed. This paper investigates if the spike-and-wave behaviour during absence seizures is so distinct that a single-channel implementation is possible. 18 channels of scalp electroencephalography (EEG), from 19 patients suffering from childhood absence epilepsy, are analysed individually. The characteristics of the seizures are captured using the energy content of wavelet transform subbands and classified using a support vector machine. To ease the evaluation of the method, we present a new graphical visualization of the performance based on the topographical distribution on the scalp. The presented seizure detection method shows that the best result is obtained for the derivation F7-FP1. Using this channel a sensitivity of 99.1 %, positive predictive value of 94.8 %, mean detection latency of 3.7 s, and false detection rate value of 0.5/h was obtained. The topographical visualization of the results clearly shows that the frontal, midline, and parietal channels outperform detection based on the channels in the occipital region.
Original languageEnglish
Title of host publicationProceedings of the 33rd Annual International Conference of the IEEE EMBS
Publication date2011
ISBN (Print)978-1-4244-4122-8
Publication statusPublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Boston, Massachusetts, United States
Duration: 30 Aug 20113 Sep 2011
Conference number: 33


Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryUnited States
CityBoston, Massachusetts
Internet address

Bibliographical note



  • Sensitivity
  • Pediatrics
  • Epilepsy
  • Computer aided engineering
  • Electroencephalography
  • Support vector machines
  • Signal resolution


Dive into the research topics of 'Generic Single-Channel Detection of Absence Seizures'. Together they form a unique fingerprint.

Cite this