Trial reportNeurology2018
Multimodal nocturnal seizure detection in a residential care setting: A long-term prospective trial.
Trial report in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 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
44 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A Systematic Review of Wearable Sensors in Rett Syndrome-What Physiological Markers Are Informative for Monitoring Disease States?Sensors (Basel, Switzerland) · 2025Pooled it
- Movement Disorders and Smart Wrist Devices: A Comprehensive Study.Sensors (Basel, Switzerland) · 2025Pooled it
- User involvement in the design and development of medical devices in epilepsy: A systematic review.Epilepsia open · 2024Pooled it
- Feasibility of cardiac-based seizure detection and prediction: A systematic review of non-invasive wearable sensor-based studies.Epilepsia open · 2024Pooled it
- Seizure detection using wearable electrocardiogram connected to a smartphone: a phase 3 clinical validation study.EBioMedicine · 2025Trial
- Holistic management of epilepsy in adults with intellectual development disorders.Epileptic disorders : international epilepsy journal with videotape · 2026Article
- Artificial Intelligence That Changes Clinical Neurology Practice: Translating Algorithms Into Actionable Care.Journal of clinical neurology (Seoul, Korea) · 2026Review
- The research progress of wearable digital health technologies in epilepsy management.Acta epileptologica · 2026Review
- A multi-feature method for real-time seizure detection in pediatric intensive care unit.Epilepsia open · 2026Article
- How often do caregivers attend their child when a seizure detection device alerts for a nocturnal major motor seizure?Epilepsia · 2025Article
- Users' perspectives and preferences on using wearables in epilepsy: A critical review.Epilepsia · 2025Review
- Deep learning-based detection of generalized convulsive seizures using a wrist-worn accelerometer.Epilepsia · 2025Article
- Autonomic biosignals, seizure detection, and forecasting.Epilepsia · 2025Review
- Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025Review
- Early hemodynamic differences between generalized and focal epilepsy measured by photoplethysmography.Scientific reports · 2025Article
- Use of Artificial Intelligence, Internet of Things, and Edge Intelligence in Long-Term Care for Older People: Comprehensive Analysis Through Bibliometric, Google Trends, and Content Analysis.Journal of medical Internet research · 2025Article
- Seizure Detection Devices.Journal of clinical medicine · 2025Review
- Home-Based sensing of the nervous system with clinical neurophysiology technologies: IFCN handbook chapter.Clinical neurophysiology practice · 2025Review
- Neurostimulation for the Management of Epilepsy: Advances in Targeted Therapy.Current drug targets · 2025Review
- Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare.Health science reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and prospectively evaluate a method of epileptic seizure detection combining heart rate and movement.
methodsIn this multicenter, in-home, prospective, video-controlled cohort study, nocturnal seizures were detected by heart rate (photoplethysmography) or movement (3-D accelerometry) in persons with epilepsy and intellectual disability. Participants with >1 monthly major seizure wore a bracelet (Nightwatch) on the upper arm at night for 2 to 3 months. Major seizures were tonic-clonic, generalized tonic >30 seconds, hyperkinetic, or others, including clusters (>30 minutes) of short myoclonic/tonic seizures. The video of all events (alarms, nurse diaries) and 10% completely screened nights were reviewed to classify major (needing an alarm), minor (needing no alarm), or no seizure. Reliability was tested by interobserver agreement. We determined device performance, compared it to a bed sensor (Emfit), and evaluated the caregivers' user experience.
resultsTwenty-eight of 34 admitted participants (1,826 nights, 809 major seizures) completed the study. Interobserver agreement (major/no major seizures) was 0.77 (95% confidence interval [CI] 0.65-0.89). Median sensitivity per participant amounted to 86% (95% CI 77%-93%); the false-negative alarm rate was 0.03 per night (95% CI 0.01-0.05); and the positive predictive value was 49% (95% CI 33%-64%). The multimodal sensor showed a better sensitivity than the bed sensor (n = 14, median difference 58%, 95% CI 39%-80%,
conclusionCombining heart rate and movement resulted in reliable detection of a broad range of nocturnal seizures.
Indexed as
Identifiers
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.