SynthesisEpilepsia2022
Automated seizure detection with noninvasive wearable devices: A systematic review and meta-analysis.
Synthesis in Epilepsia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Automated seizure detection using wearable devices: updated systematic review and meta-analysis of tonic-clonic and focal seizure detection.Frontiers in bioengineering and biotechnology · 2026Pooled it
- Automated seizure detection with noninvasive wearable devices: A systematic review and meta-analysis.Epilepsia · 2022Pooled it
- Reliable detection of generalized convulsive seizures using an off-the-shelf digital watch: A multisite phase 2 study.Epilepsia · 2024Trial
- Investigating mechanisms and monitoring outcomes in functional neurological disorder: the unrealized potential of digital remote monitoring technologies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
- Opportunities for Quantum Sensing in Epilepsy Diagnostics.Sensors (Basel, Switzerland) · 2026Review
- Clinical application of artificial intelligence technology in epilepsy.Acta epileptologica · 2026Review
- An edge-AI enabled wearable platform for real-time epileptic seizure detection with geolocated alerting.BMC biomedical engineering · 2026Article
- Position Statement on Noninvasive Seizure Detection/Alerting Devices: A Joint Statement of the American Epilepsy Society, the Epilepsy Foundation, and the Danny Did Foundation.Epilepsy currents · 2026Review
- The future of epilepsy care in the United Kingdom: A roadmap for technology-enabled transformation.Epilepsia open · 2026Review
- The research progress of wearable digital health technologies in epilepsy management.Acta epileptologica · 2026Review
- Translational Research Symposium: Current State of SUDEP Research.Epilepsy currents · 2026Article
- Mixture of checkpoint experts for explainable seizure detection using wearable devices.Scientific reports · 2025Article
- Clinical utility of an ambulatory absence seizure detection system.Epilepsia open · 2025Article
- Users' perspectives and preferences on using wearables in epilepsy: A critical review.Epilepsia · 2025Review
- Autonomic biosignals, seizure detection, and forecasting.Epilepsia · 2025Review
- Near SUDEP in a patient with craniosynostosis syndrome and temporal lobe encephaloceles.Epileptic disorders : international epilepsy journal with videotape · 2025Article
- Seizure Detection Devices.Journal of clinical medicine · 2025Review
- Semiology and neurophysiology of clonic seizures in children: a retrospective study.Frontiers in neurology · 2025Article
- Precision medicine for epilepsy: challenges and perspectives for an optimized clinical care pathway.Frontiers in neurology · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study was undertaken to review the reported performance of noninvasive wearable devices in detecting epileptic seizures and psychogenic nonepileptic seizures (PNES).
methodsWe conducted a systematic review and meta-analysis of studies reported up to November 15, 2021. We included studies that used video-electroencephalographic (EEG) monitoring as the gold standard to determine the sensitivity and false alarm rate (FAR) of noninvasive wearables for automated seizure detection.
resultsTwenty-eight studies met the criteria for the systematic review, of which 23 were eligible for meta-analysis. These studies (1269 patients in total, median recording time = 52.9 h per patient) investigated devices for tonic-clonic seizures using wrist-worn and/or ankle-worn devices to measure three-dimensional accelerometry (15 studies), and/or wearable surface devices to measure electromyography (eight studies). The mean sensitivity for detecting tonic-clonic seizures was .91 (95% confidence interval [CI] = .85-.96, I SIGNIFICANCE: Reported noninvasive wearable devices had high sensitivity but relatively high FARs in detecting tonic-clonic seizures during limited recording time in a video-EEG setting. Future studies should focus on reducing FAR, detection of other seizure types and PNES, and longer recording in the community.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.