ArticleEpilepsia2021
Accurate detection of typical absence seizures in adults and children using a two-channel electroencephalographic wearable behind the ears.
Article in Epilepsia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05738226 (Validation Study for Monitoring of Focal Onset Epileptic Seizures With a Wearable Seizure Monitoring Device, EpiCare@Home), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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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.
Validation Study for Monitoring of Focal Onset Epileptic Seizures With a Wearable Seizure Monitoring Device, EpiCare@Home
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review.Epilepsia · 2022Pooled it
- A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.Epilepsia open · 2026Trial
- Automated Sleep Staging in Epilepsy Using Deep Learning on Standard Electroencephalogram and Wearable Data.Journal of sleep research · 2025Trial
- The active role of non-synaptic electromagnetic induction in modulating absence epilepsy: a kinetic modeling study.Biological cybernetics · 2026Article
- Lennox-Gastaut syndrome unveiled: Advancing diagnosis, therapies, and advocacy-insights from the Genoa International Workshop.Epilepsia · 2026Review
- ECG-Based Detection of Epileptic Seizures in Real-World Wearable Settings: Insights from the SeizeIT2 Dataset.Sensors (Basel, Switzerland) · 2025Article
- Global burden trends of idiopathic epilepsy in young adults from 1990 to 2035: based on the global burden of disease study 2021.BMC neurology · 2025Article
- Clinical utility of an ambulatory absence seizure detection system.Epilepsia open · 2025Article
- SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy.Scientific data · 2025Article
- Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025Review
- Tailoring antiseizure treatment with a wearable device: A proof-of-concept study in absence epilepsy.Epilepsia · 2025Article
- Seizure Detection Devices.Journal of clinical medicine · 2025Review
- Improving epilepsy monitoring using long-term, in-home-bi-modal seizure monitoring device: clinical utilities and obstacles from a pilot study.Frontiers in neurology · 2025Article
- Striatum is the potential target for treating absence epilepsy: a theoretical evidence.Cognitive neurodynamics · 2024Article
- High precision in epileptic seizure self-reporting with an app diary.Scientific reports · 2024Article
- Parameterized aperiodic and periodic components of single-channel EEG enables reliable seizure detection.Physical and engineering sciences in medicine · 2024Article
- Single-channel seizure detection with clinical confirmation of seizure locations using CHB-MIT dataset.Frontiers in neurology · 2024Article
- Seizure detection with reduced electroencephalogram channels: research trends and outlook.Royal Society open science · 2023Review
- The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG.Bioengineering (Basel, Switzerland) · 2023Article
- PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy.Frontiers in physiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePatients with absence epilepsy sensitivity <10% of their absences. The clinical gold standard to assess absence epilepsy is a 24-h electroencephalographic (EEG) recording, which is expensive, obtrusive, and time-consuming to review. We aimed to (1) investigate the performance of an unobtrusive, two-channel behind-the-ear EEG-based wearable, the Sensor Dot (SD), to detect typical absences in adults and children; and (2) develop a sensitive patient-specific absence seizure detection algorithm to reduce the review time of the recordings.
methodsWe recruited 12 patients (median age = 21 years, range = 8-50; seven female) who were admitted to the epilepsy monitoring units of University Hospitals Leuven for a 24-h 25-channel video-EEG recording to assess their refractory typical absences. Four additional behind-the-ear electrodes were attached for concomitant recording with the SD. Typical absences were defined as 3-Hz spike-and-wave discharges on EEG, lasting 3 s or longer. Seizures on SD were blindly annotated on the full recording and on the algorithm-labeled file and consequently compared to 25-channel EEG annotations. Patients or caregivers were asked to keep a seizure diary. Performance of the SD and seizure diary were measured using the F1 score.
resultsWe concomitantly recorded 284 absences on video-EEG and SD. Our absence detection algorithm had a sensitivity of .983 and false positives per hour rate of .9138. Blind reading of full SD data resulted in sensitivity of .81, precision of .89, and F1 score of .73, whereas review of the algorithm-labeled files resulted in scores of .83, .89, and .87, respectively. Patient self-reporting gave sensitivity of .08, precision of 1.00, and F1 score of .15. SIGNIFICANCE: Using the wearable SD, epileptologists were able to reliably detect typical absence seizures. Our automated absence detection algorithm reduced the review time of a 24-h recording from 1-2 h to around 5-10 min.
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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.