ArticleIEEE journal of translational engineering in health and medicine2017
Detection of Paroxysms in Long-Term, Single-Channel EEG-Monitoring of Patients with Typical Absence Seizures.
Article in IEEE journal of translational engineering in health and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04284072 (A Multicenter Study to Examine Clinical Scenarios for Long-term Monitoring of Epileptic Seizures With a Wearable Biopotential Technology), which is not on this map. Cited by 15 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.
A Multicenter Study to Examine Clinical Scenarios for Long-term Monitoring of Epileptic Seizures With a Wearable Biopotential Technology
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review.Epilepsia · 2022Pooled it
- Seizure Detection Devices.Journal of clinical medicine · 2025Review
- Review
- Using Explainable Artificial Intelligence to Obtain Efficient Seizure-Detection Models Based on Electroencephalography Signals.Sensors (Basel, Switzerland) · 2023Article
- Automatic Detection and Classification of Epileptic Seizures from EEG Data: Finding Optimal Acquisition Settings and Testing Interpretable Machine Learning Approach.Biomedicines · 2023Article
- Seizure detection with reduced electroencephalogram channels: research trends and outlook.Royal Society open science · 2023Review
- EEG phase synchronization during absence seizures.Frontiers in neuroinformatics · 2023Article
- Article
- Accurate detection of typical absence seizures in adults and children using a two-channel electroencephalographic wearable behind the ears.Epilepsia · 2021Article
- Electrographic seizure monitoring with a novel, wireless, single-channel EEG sensor.Clinical neurophysiology practice · 2021Article
- Absence Seizure Detection Algorithm for Portable EEG Devices.Frontiers in neurology · 2021Article
- Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels.Epilepsia · 2020Article
- [Mobile seizure monitoring in epilepsy patients].Der Nervenarzt · 2019Review
- Ultra-long-term subcutaneous home monitoring of epilepsy-490 days of EEG from nine patients.Epilepsia · 2019Article
- Seizure detection: do current devices work? And when can they be useful?Current neurology and neuroscience reports · 2018Review
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 at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Absence seizures are associated with generalized 2.5-5 Hz spike-wave discharges in the electroencephalogram (EEG). Rarely are patients, parents, or physicians aware of the duration or incidence of seizures. Six patients were monitored with a portable EEG-device over four times 24 h to evaluate how easily outpatients are monitored and how well an automatic seizure detection algorithm can identify the absences. Based on patient-specific modeling, we achieved a sensitivity of 98.4% with only 0.23 false detections per hour. This yields a clinically satisfying performance with a positive predictive value of 87.1%. Portable EEG-recorders identifying paroxystic events in epilepsy outpatients are a promising tool for patients and physicians dealing with absence epilepsy. Albeit the small size of the EEG-device, some children still complained about the obtrusive nature of the device. We aim at developing less obtrusive though still very efficient devices, e.g., hidden in the ear canal or below the skin.
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.