Balancing accuracy, delay and battery autonomy for pervasive seizure detection

Athanasios Karapatis, Robert Seepers, Marijn van Dongen, Wouter Serdijn, Christos Strydis

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)


A promising alternative for treating absence seizures has emerged through closed-loop neurostimulation, which utilizes a wearable or implantable device to detect and subsequently suppress epileptic seizures. Such devices should detect seizures fast and with high accuracy, while respecting the strict energy budget on which they operate. Previous work has overlooked one or more of these requirements, resulting in solutions which are not suitable for continuous closed-loop stimulation. In this paper, we perform an in-depth design space exploration of a novel seizure-detection algorithm, which uses a complex Morlet wavelet filter and a static thresholding mechanism to detect absence seizures. We consider both the accuracy and speed of our detection algorithm, as well as various trade-offs with device autonomy when executed on a low-power processor. For example, we demonstrate that a minimal decrease in average detection rate of only 1.83% (from 92.72% to 90.89%) allows for a substantial increase in device autonomy (of 3.7x) while also facilitating faster detection (from 710 ms to 540 ms).
Original languageEnglish
Title of host publication2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC)
Place of PublicationPiscataway
Number of pages6
ISBN (Electronic)978-1-4577-0220-4
Publication statusPublished - 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, Florida, United States
Duration: 16 Aug 201620 Aug 2016


Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Abbreviated titleEMBC
CountryUnited States
CityOrlando, Florida
Internet address


  • Delays
  • Performance evaluation
  • Detection algorithms
  • Energy consumption
  • Biomedical monitoring
  • Batteries
  • Implants

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