ReviewJournal of clinical medicine2025
Seizure Detection Devices.
Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.Epilepsia open · 2026Trial
- Pulse-based photoplethysmography quality assessment improves wearable seizure detection performance.Epilepsia open · 2026Article
- Post-Stroke Epileptogenesis as a Dynamic Network Process: State-Dependent Biomarkers, Longitudinal Monitoring, and the Concept of an Irritable Brain State.International journal of molecular sciences · 2026Review
- MCLF: Montage consistent CNN-Liquid fusion for long-term scalp EEG seizure detection.MethodsX · 2026Article
- Current perspectives in sudden unexpected death in epilepsy (SUDEP): epidemiology, research approaches and pathways to prevention.Neurological research and practice · 2026Review
- Objective outcome assessment in epilepsy surgery using ultralong-term subcutaneous EEG: A case report.Epilepsia open · 2026Article
- Detecting Diverse Seizure Types with Wrist-Worn Wearable Devices: A Comparison of Machine Learning Approaches.Sensors (Basel, Switzerland) · 2025Article
- Epilepsy grand challenge 2025.Frontiers in neurology · 2025Article
- Artificial intelligence in wearable seizure detection devices: current technologies and future directions.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Goals of automated detection of epileptic seizures using wearable devices include objective documentation of seizures, prevention of sudden unexpected death in epilepsy (SUDEP) and seizure-related injuries, obviating both the unpredictability of seizures and potential social embarrassment, and finally to develop seizure-triggered on-demand therapies. Automated seizure detection devices are based on the analysis of EEG signals (scalp-EEG, subcutaneous EEG and intracranial EEG), of motor manifestations of seizures (surface EMG, accelerometry), and of physiologic autonomic changes caused by seizures (heart and respiration rate, oxygen saturation, sweat secretion, body temperature). While the detection of generalized tonic-clonic and of focal to bilateral tonic-clonic seizures can be achieved with high sensitivity and low false alarm rates, the detection of focal seizures is still suboptimal, especially in the everyday ambulatory setting. Multimodal seizure detection devices in general provide better performance than devices based on single measurement parameters. Long-term use of seizure detection devices in home environments helps to improve the accuracy of seizure diaries and to reduce seizure-related injuries, while evidence for prevention of SUDEP is still lacking. Automated seizure detection devices are generally well accepted by patients and caregivers.
Indexed as
Identifiers
What Socratic 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 Socratic graph.