ArticleEpilepsia2020
Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels.
Article in Epilepsia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Multimodal Profiling of People With Epilepsy to Determine Which Signals Are Clinically Useful for Long-term Home Monitoring
Validation Study for Monitoring of Focal Onset Epileptic Seizures With a Wearable Seizure Monitoring Device, EpiCare@Home
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Health-Related Indicators Measured Using Earable Devices: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Patient-independent automated pediatric seizure monitoring based on expert-labeled electrographic ictal data as core reference knowledge.Clinical and experimental pediatrics · 2026Article
- CMEpiNet: Complex-Valued Multimodal Epilepsy Detection Network Model.Sensors (Basel, Switzerland) · 2026Article
- Screen exposure and circadian disruption in paediatric epilepsy: risks and technology-based approaches - a literature review.Postepy psychiatrii neurologii · 2026Review
- Efficient and Accurate Epilepsy Seizure Prediction and Detection Based on Multi-Teacher Knowledge Distillation RGF-Model.Brain sciences · 2026Article
- SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy.Scientific data · 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
- Addressing data limitations in seizure prediction through transfer learning.Scientific reports · 2024Article
- Article
- Using a standalone ear-EEG device for focal-onset seizure detection.Bioelectronic medicine · 2024Article
- Minimizing artifact-induced false-alarms for seizure detection in wearable EEG devices with gradient-boosted tree classifiers.Scientific reports · 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
- Out-of-hospital multimodal seizure detection: a pilot study.BMJ neurology open · 2023Article
- Digital Health Technologies in Pediatric Trials.Therapeutic innovation & regulatory science · 2022Review
- Accurate detection of typical absence seizures in adults and children using a two-channel electroencephalographic wearable behind the ears.Epilepsia · 2021Article
- The power of ECG in multimodal patient-specific seizure monitoring: Added value to an EEG-based detector using limited channels.Epilepsia · 2021Article
- [Research progress on wearable physiological parameter monitoring and its clinical applications].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Review
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.
Funding
Abstract
objectiveSeizure diaries kept by patients are unreliable. Automated electroencephalography (EEG)-based seizure detection systems are a useful support tool to objectively detect and register seizures during long-term video-EEG recording. However, this standard full scalp-EEG recording setup is of limited use outside the hospital, and a discreet, wearable device is needed for capturing seizures in the home setting. We are developing a wearable device that records EEG with behind-the-ear electrodes. In this study, we determined whether the recognition of ictal patterns using only behind-the-ear EEG channels is possible. Second, an automated seizure detection algorithm was developed using only those behind-the-ear EEG channels.
methodsFifty-four patients with a total of 182 seizures, mostly temporal lobe epilepsy (TLE), and 5284 hours of data, were recorded with a standard video-EEG at University Hospital Leuven. In addition, extra behind-the-ear EEG channels were recorded. First, a neurologist was asked to annotate behind-the-ear EEG segments containing selected seizure and nonseizure fragments. Second, a data-driven algorithm was developed using only behind-the-ear EEG. This algorithm was trained using data from other patients (patient-independent model) or from the same patient (patient-specific model).
resultsThe visual recognition study resulted in 65.7% sensitivity and 94.4% specificity. By using those seizure annotations, the automated algorithm obtained 64.1% sensitivity and 2.8 false-positive detections (FPs)/24 hours with the patient-independent model. The patient-specific model achieved 69.1% sensitivity and 0.49 FPs/24 hours. SIGNIFICANCE: Visual recognition of ictal EEG patterns using only behind-the-ear EEG is possible in a significant number of patients with TLE. A patient-specific seizure detection algorithm using only behind-the-ear EEG was able to detect more seizures automatically than what patients typically report, with 0.49 FPs/24 hours. We conclude that a large number of refractory TLE patients can benefit from using this device.
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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.