Effects of epileptic seizures on the quality of biosignals recorded from wearables

Motor elements of seizures significantly impair BVP signal quality, but do not have significant effect on EDA signal quality, as assessed by wrist-worn wearables. The results underscore the importance of signal quality assessment methods and careful selection of robust modalities to ensure reliable seizure detection. Future research is needed to explain whether seizure detection models' decisions are based on signal responses induced by physiological processes as opposed to artifacts.

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Publication Details

Journal
Epilepsia
Published
2024-10-07
DOI
https://doi.org/10.1111/epi.18138
Citations
9
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
3.08

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article

Effects of epileptic seizures on the quality of biosignals recorded from wearables

Andrea Biondi, Solveig Vieluf, Matthias Dümpelmann, Sebastian Böttcher et al.
9 citations
Epilepsia
EEG and Brain-Computer Interfaces
3.08
article

Effects of epileptic seizures on the quality of biosignals recorded from wearables

Andrea Biondi, Solveig Vieluf, Matthias Dümpelmann, Sebastian Böttcher, Elisa Bruno, Nicolas Zabler, Michele Jackson, Mark P. Richardson, Tobias Loddenkemper, Benjamin H. Brinkmann, Nino Epitashvili, Andreas Schulze‐Bonhage
article en
9 citations

Abstract

Motor elements of seizures significantly impair BVP signal quality, but do not have significant effect on EDA signal quality, as assessed by wrist-worn wearables. The results underscore the importance of signal quality assessment methods and careful selection of robust modalities to ensure reliable seizure detection. Future research is needed to explain whether seizure detection models' decisions are based on signal responses induced by physiological processes as opposed to artifacts.

EpilepsiaVol. 65(12)
Boston Children's Hospital (US), Mayo Clinic (US), Harvard University (US), University of Freiburg (DE), King's College London (GB), University Medical Center Freiburg (DE), LMU Klinikum (DE), German Centre for Cardiovascular Research (DE), Ludwig-Maximilians-Universität München (DE)
Epilepsy Foundation, European Federation of Pharmaceutical Industries and Associations, European Commission, National Institutes of Health
Openalex Percentile: Top 8%
EEG and Brain-Computer Interfaces
3.08
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