Detection of generalized tonic–clonic seizures by a wireless wrist accelerometer: A prospective, multicenter study
Open accessAbstract
Summary: Our objective was to assess the clinical reliability of a wrist‐worn, wireless accelerometer sensor for detecting generalized tonic–clonic seizures ( GTCS ). Seventy‐three consecutive patients (age 6–68 years; median 37 years) at risk of having GTCS and who were admitted to the long‐term video–electroencephalography ( EEG ) monitoring unit ( LTM ) were recruited in three centers. The reference standard was considered the seizure time points identified by experienced clinical neurophysiologists, based on the video‐ EEG recordings and blinded to the accelerometer sensor data. Seizure time points detected real‐time by the sensor were compared with the reference standard. Patients were monitored for 17–171 h (mean 66.8; total 4,878). Thirty‐nine GTCS were recorded in 20 patients. The device detected 35 seizures (89.7%). In 16 patients all seizures were detected. In three patients more than two thirds of the seizures were detected. The mean of the sensitivity calculated for each patient was 91%. The mean detection latency measured from the start of the focal seizure preceding the secondarily GTCS was 55 s (95% confidence interval [ CI ] 38–73 s). The rate of false alarms was 0.2/day. Our results suggest that the wireless wrist accelerometer sensor detects GTCS with high sensitivity and specificity. Patients with GTCS have an increased risk for injuries related to seizures and for sudden unexpected death in epilepsy ( SUDEP ), and many nocturnal seizures remain undetected in unattended patients. A portable automatic seizure detection device will be an important tool for helping these patients.
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In epilepsy, wearables are used to detect and differentiate seizures in hospital settings.
“In epilepsy, wearables are used to detect and differentiate seizures in hospital settings.”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [15]
One study reported 40 false alarms in 16 out of 73 patients.
“One study reported 40 false alarms in 16 out of 73 patients [15], and another study found 81 false alarms reported in 17 patients out of a sample of 30 [16].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [15]
More recent studies demonstrated detection sensitivity ranging from 90 to 92% for convulsive seizures.
“More recent studies demonstrated detection sensitivity ranging from 90 to 92% for convulsive seizures [15, 16], but the false positive events varied between the studies.”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [15]
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- Hesdorffer DC, Tomson T, Benn E, Sander JW, Nilsson L, Langan Y, Walczak TS, Beghi E, Brodie MJ, Hauser A, ILAE Commission on Epilepsia, 54(4):e58-e61, 2013 doi: 10.1111/epi.12120 e60 · DOI
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- Authors
- Beniczky, S., Polster, T., Kjaer, T. W., & Hjalgrim, H.
- Affiliations
- Aarhus University (DK)
- Bethel Epilepsy Center Bielefeld Germany
- Rigshospitalet University Hospital Copenhagen Denmark
- University of Southern Denmark (DK)
- Corresponding author
- Beniczky, Sándor
- Venue
- Epilepsia
- Publisher
- Wiley
- Published
- 2013-02-08
- Volume
- 54
- Issue
- 4
- Pages
- e58-61
- ISSN
- 0013-9580 (ISSN-L)
- 1528-1167
- OpenAlex
- W2067645878
- Cited by
- 230
- References
- 12
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 14 · 2023: 16 · 2022: 16 · 2021: 24 · 2020: 29 · 2019: 19 · 2018: 24 · 2017: 16 · 2016: 17 · 2015: 12 · 2014: 11 · 2013: 2
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Epilepsia (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- generalized tonic-clonic seizures, wrist-worn accelerometers, automated seizure detection, wearable sensors, long-term video-EEG monitoring, detection sensitivity, detection delay, false alarms, nocturnal seizures, sudden unexpected death in epilepsy, seizure-related injury
- MeSH terms
- Adolescent, Adult, Aged, Algorithms, Child, Computer Systems, Electroencephalography, Epilepsy, Tonic-Clonic, False Positive Reactions, Female, Humans, Male, Middle Aged, Prospective Studies, Seizures, Sleep, Wrist, Reproducibility of Results, Young Adult, Wireless Technology
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