Tracking generalized tonic-clonic seizures with a wrist accelerometer linked to an online database
Open accessAbstract
Purpose Clinical management of epilepsy and current epilepsy therapy trials rely on paper or electronic diaries often with inaccurate self-reported seizure frequency as the primary outcome. This is the first study addressing the feasibility of detecting and recording generalized tonic-clonic seizures (GTCS) through a biosensor linked to an online seizure database.Method A prospective trial was conducted with video-EEG (vEEG) in an epilepsy monitoring unit. Patients wore a wristwatch accelerometer that detected shaking and transmitted events via Bluetooth® to a bedside electronic tablet and then via Wi-Fi to an online portal. The watch recorded the date, time, audio, duration, frequency and amplitude of events. Events logged by the watch and recorded in a bedside paper diary were measured against vEEG, the "gold standard."Results Thirty patients were enrolled and 62 seizures were recorded on vEEG: 31 convulsive and 31 non-convulsive. Twelve patients had a total of 31 convulsive seizures, and of those, 10 patients had 13 GTCS. The watch captured 12/13 (92.3%) GTCS. Watch audio recordings were consistent with seizures in 11/12 (91.6%). Data were successfully transferred to the bedside tablet in 11/12 (91.6%), and to the online database in 10/12 (83.3%) GTCS. The watch recorded 81 false positives, of which 42/81 (51%) were cancelled by the patients. Patients and caregivers verbally reported 15/62 seizures (24.2% sensitivity) but no seizures were recorded on paper logs.Conclusion Automatic detection and recording of GTCS to an online database is feasible and may be more informative than seizure logging in a paper diary.
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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 [16]
Another study found 81 false alarms in 17 patients out of a sample of 30.
“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 [16]
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 [16]
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- Authors
- Velez, M., Fisher, R. S., Bartlett, V., & Le, S.
- Affiliations
- Stanford Medicine (US)
- Harvard University (US)
- Corresponding author
- Le, Scheherazade
- Venue
- Seizure
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 39
- Pages
- 13-18
- ISSN
- 1059-1311 (ISSN-L)
- OpenAlex
- W2343145876
- Cited by
- 65
- References
- 22
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 1 · 2022: 4 · 2021: 10 · 2020: 9 · 2019: 5 · 2018: 12 · 2017: 6 · 2016: 2
- FWCI
- 7.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Seizure (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 accelerometer, seizure detection, biosensors, epilepsy monitoring, video-EEG monitoring, Bluetooth data transmission
- MeSH terms
- Adult, Aged, Electroencephalography, Epilepsy, Tonic-Clonic, Female, Humans, Male, Middle Aged, Prospective Studies, Video Recording, Databases, Factual, Monitoring, Ambulatory, Internet, Young Adult, Accelerometry
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