Cited by 272EEG and Brain-Computer InterfacesEpilepsy research and treatmentContext-Aware Activity Recognition Systems

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Convulsive seizure detection using a wrist‐worn electrodermal activity and accelerometry biosensor

Poh, Ming‐Zher, Loddenkemper, Tobias, Reinsberger, Claus, Swenson, Nicholas C., Goyal, Shubhi, Sabtala, Mangwe C., Madsen, Joseph R., Picard, Rosalind W.·2012·Epilepsia

DOI 10.1111/j.1528-1167.2012.03444.x

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Abstract

Summary: The special requirements for a seizure detector suitable for everyday use in terms of cost, comfort, and social acceptance call for alternatives to electroencephalography (EEG)–based methods. Therefore, we developed an algorithm for automatic detection of generalized tonic–clonic (GTC) seizures based on sympathetically mediated electrodermal activity (EDA) and accelerometry measured using a novel wrist‐worn biosensor. The problem of GTC seizure detection was posed as a supervised learning task in which the goal was to classify 10‐s epochs as a seizure or nonseizure event based on 19 extracted features from EDA and accelerometry recordings using a Support Vector Machine. Performance was evaluated using a double cross‐validation method. The new seizure detection algorithm was tested on >4,213 h of recordings from 80 patients and detected 15 (94%) of 16 of the GTC seizures from seven patients with 130 false alarms (0.74 per 24 h). This algorithm can potentially provide a convulsive seizure alarm system for caregivers and objective quantification of seizure frequency.

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Authors: Poh, M., Loddenkemper, T., Reinsberger, C., Swenson, N. C., Goyal, S., Sabtala, M. C., Madsen, J. R., & Picard, R. W.
Affiliations: Harvard University (US)
Boston Children's Hospital (US)
Brigham and Women's Hospital (US)
MIT Media Lab (US)
Corresponding author: Poh, Ming‐Zher
ORCID: Poh, Ming‐Zher
Loddenkemper, Tobias
Reinsberger, Claus
Goyal, Shubhi
Madsen, Joseph R.
Picard, Rosalind W.
Venue: Epilepsia
Publisher: Wiley
Published: 2012-03-20
Volume: 53
Issue: 5
Pages: e93-7
ISSN: 0013-9580 (ISSN-L)
1528-1167
DOI: 10.1111/j.1528-1167.2012.03444.x
OpenAlex: W2138499982
Cited by: 272
References: 12
Citations by year: 2026: 9 · 2025: 12 · 2024: 18 · 2023: 15 · 2022: 24 · 2021: 31 · 2020: 28 · 2019: 23 · 2018: 35 · 2017: 16 · 2016: 18 · 2015: 20 · 2014: 12 · 2013: 8 · 2012: 2
FWCI: 6.86
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Epilepsia (publishedVersion)
PubMed (publishedVersion)
Funders: Nancy Lurie Marks Family Foundation
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Health Sciences › Medicine › Clinical Neurology › Epilepsy research and treatment
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords: generalized tonic-clonic seizures, electrodermal activity, accelerometry, support vector machine classification, epilepsy
MeSH terms: Adolescent, Child, Child, Preschool, Electroencephalography, Female, Galvanic Skin Response, Humans, Kinetocardiography, Male, Seizures, Time Factors, Wrist, Biosensing Techniques

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Convulsive seizure detection using a wrist‐worn electrodermal activity and accelerometry biosensor

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