The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Convulsive seizure detection using a wrist‐worn electrodermal activity and accelerometry biosensor
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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In the citing paper
“One epilepsy study has suggested that the use of electrodermal activity together with accelerometry might increase sensitivity and specificity in seizure detection, compared to the use of accelerometry only [72].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [72]
In the citing paper
“In a study of 80 pediatric patients with varying degrees of epilepsy, Embrace detected 94% of GTC seizures with less than one false alarm per 24-h period [20].”
From Wearables and the Medical Revolution (2018) · cites this paper as [20]
In the citing paper
“The Empatica Embrace (MA, USA), a smartwatch that evolved out of the MIT Media Lab, can detect seizures using electrodermal activity and accelerometry and can also notify emergency contacts [20,21,103].”
From Wearables and the Medical Revolution (2018) · cites this paper as [20]
Citations
Cites
Review: Electrodermal Responses: What Happens in the Brain
Critchley, H. D. (2002) · The Neuroscientist · doi:10.1177/107385840200800209 · Cited by 997
Boucsein, W. (1992) · doi:10.1007/978-1-4757-5093-5 · Cited by 818
A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity
Poh, M.-Z., Swenson, N. C., & Picard, R. W. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2038487 · Cited by 693
Self-citationSudden unexpected death in epilepsy: risk factors and potential pathomechanisms
Surges, R., Thijs, R. D., Tan, H. L., & Sander, J. W. A. S. (2009) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.118 · Cited by 434
Emotion Induction After Direct Intracerebral Stimulations of Human Amygdala
Lanteaume, L., Khalfa, S., Régis, J. M., Marquis, P., Chauvel, P., & Bartoloméi, F. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl041 · Cited by 332
Autonomic alterations and cardiac changes in epilepsy
Sevcencu, C., & Struijk, J. J. (2010) · Epilepsia · doi:10.1111/j.1528-1167.2009.02479.x · Cited by 299
Mangina, C. A., & Beuzeron-Mangina, J. H. (1996) · International Journal of Psychophysiology · doi:10.1016/0167-8760(96)00022-0 · Cited by 211
Views of patients with epilepsy on seizure prediction devices
Schulze‐Bonhage, A., Sales, F., Wagner, K., Teotónio, R., Carius, A., Schelle, A., & Ihle, M. (2010) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2010.05.008 · Cited by 155
Continuous monitoring of electrodermal activity during epileptic seizures using a wearable sensor
Poh, M., Loddenkemper, T., Swenson, N. C., Goyal, S., Madsen, J. R., & Picard, R. W. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5625988 · Cited by 142
Self-citationNijsen, T. M. E., Arends, J. B. A. M., Griep, P. A. M., & Cluitmans, P. J. M. (2005) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2005.04.011 · Cited by 139
Cited by
Sorted by citations
Wearables and the Medical Revolution
Dunn, J., Runge, R., & Snyder, M. (2018) · Personalized Medicine · doi:10.2217/pme-2018-0044 · Cited by 654
Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy
Ramgopal, S., Thome-Souza, S., Jackson, M., Kadish, N. E., Sánchez Fernández, I., Klehm, J., Bosl, W., Reinsberger, C., Schachter, S., & Loddenkemper, T. (2014) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2014.06.023 · Cited by 469
Self-citationAutonomic changes with seizures correlate with postictal EEG suppression
Poh, M., Loddenkemper, T., Reinsberger, C., Swenson, N. C., Goyal, S., Madsen, J. R., & Picard, R. W. (2012) · Neurology · doi:10.1212/wnl.0b013e318258f7f1 · Cited by 242
Self-citationRegalia, G., Onorati, F., Lai, M., Caborni, C., & Picard, R. W. (2019) · Epilepsy Research · doi:10.1016/j.eplepsyres.2019.02.007 · Cited by 240
Self-citationAutomated seizure detection systems and their effectiveness for each type of seizure
Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I. S., Pearl, P. L., & Loddenkemper, T. (2016) · Seizure · doi:10.1016/j.seizure.2016.06.008 · Cited by 233
Self-citation
Metadata
- 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
- Venue
- Epilepsia
- Publisher
- Wiley
- Published
- 2012-03-20
- Volume
- 53
- Issue
- 5
- Pages
- e93-7
- ISSN
- 0013-9580 (ISSN-L)
- 1528-1167
- 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
- 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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