Multimodal, automated detection of nocturnal motor seizures at home: Is a reliable seizure detector feasible?

@inproceedings{Andel2017MultimodalAD,
  title={Multimodal, automated detection of nocturnal motor seizures at home: Is a reliable seizure detector feasible?},
  author={Judith van Andel and Constantin Ungureanu and Johan B. A. M. Arends and Francis Tan and Johannes P van Dijk and George Petkov and Stiliyan N Kalitzin and Thea Gutter and A. W. de Weerd and Ben Vledder and Roland D. Thijs and Ghislaine Jmw van Thiel and Kit C. B. Roes and Frans S. S. Leijten},
  booktitle={Epilepsia open},
  year={2017}
}
Objective Automated seizure detection and alarming could improve quality of life and potentially prevent sudden, unexpected death in patients with severe epilepsy. As currently available systems focus on tonic-clonic seizures, we want to detect a broader range of seizure types, including tonic, hypermotor, and clusters of seizures. Methods In this multicenter, prospective cohort study, the nonelectroencephalographic (non-EEG) signals heart rate and accelerometry were measured during the night… CONTINUE READING
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