Privacy-preserving early detection of epileptic seizures in videos

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2 Citations (Scopus)

Abstract

In this work, we contribute towards the development of video-based epileptic seizure classification by introducing a novel framework (SETR-PKD), which could achieve privacy-preserved early detection of seizures in videos. Specifically, our framework has two significant components - (1) It is built upon optical flow features extracted from the video of a seizure, which encodes the seizure motion semiotics while preserving the privacy of the patient; (2) It utilizes a transformer based progressive knowledge distillation, where the knowledge is gradually distilled from networks trained on a longer portion of video samples to the ones which will operate on shorter portions. Thus, our proposed framework addresses the limitations of the current approaches which compromise the privacy of the patients by directly operating on the RGB video of a seizure as well as impede real-time detection of a seizure by utilizing the full video sample to make a prediction. Our SETR-PKD framework could detect tonic-clonic seizures (TCSs) in a privacy-preserving manner with an accuracy of 83.9% while they are only half-way into their progression. Our data and code is available at https://github.com/DevD1092/seizure-detection.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference Vancouver, BC, Canada, October 8–12, 2023 Proceedings, Part V
EditorsHayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor
Place of PublicationCham Switzerland
PublisherSpringer
Pages210-219
Number of pages10
ISBN (Electronic)9783031439049
ISBN (Print)9783031439032
DOIs
Publication statusPublished - 2023
EventMedical Image Computing and Computer-Assisted Intervention 2023 - Vancouver, Canada
Duration: 8 Oct 202312 Oct 2023
Conference number: 26th
https://link.springer.com/book/10.1007/978-3-031-43901-8 (Proceedings)
https://conferences.miccai.org/2023/en/ (Website)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume14224
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceMedical Image Computing and Computer-Assisted Intervention 2023
Abbreviated titleMICCAI 2023
Country/TerritoryCanada
CityVancouver
Period8/10/2312/10/23
Internet address

Keywords

  • early detection
  • epilepsy
  • knowledge distillation

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