ReviewFrontiers in neurology2021
The Challenging Path to Developing a Mobile Health Device for Epilepsy: The Current Landscape and Where We Go From Here.
Review in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- User involvement in the design and development of medical devices in epilepsy: A systematic review.Epilepsia open · 2024Pooled it
- Automated algorithms for seizure forecast: a systematic review and meta-analysis.Journal of neurology · 2024Pooled it
- WMRE2030: integrating wearable devices, multi-omics, and artificial intelligence-driven real-time feedback into a daily-scale closed-loop framework for a new era of precision exercise.Frontiers in physiology · 2026Review
- EEG glasses for real-time brain electrical activity monitoring.Scientific reports · 2025Article
- The UMPIRE study: A first-in-human multicenter trial of bilateral subscalp monitoring for epileptic seizure detection.Epilepsia · 2025Article
- Autonomic biosignals, seizure detection, and forecasting.Epilepsia · 2025Review
- Seizure Detection Devices.Journal of clinical medicine · 2025Review
- Quantifying and controlling the impact of regression to the mean on randomized controlled trials in epilepsy.Epilepsia · 2023Article
- The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG.Bioengineering (Basel, Switzerland) · 2023Article
- Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy.Scientific reports · 2023Article
- Epileptic seizure clustering and accumulation at transition from activity to rest in GAERS rats.Frontiers in neurology · 2023Article
- Data quality evaluation in wearable monitoring.Scientific reports · 2022Article
- Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks.Frontiers in neuroscience · 2022Review
- Dogs as a Natural Animal Model of Epilepsy.Frontiers in veterinary science · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Seizure detection, and more recently seizure forecasting, represent important avenues of clinical development in epilepsy, promoted by progress in wearable devices and mobile health (mHealth), which might help optimizing seizure control and prevention of seizure-related mortality and morbidity in persons with epilepsy. Yet, very long-term continuous monitoring of seizure-sensitive biosignals in the ambulatory setting presents a number of challenges. We herein provide an overview of these challenges and current technological landscape of mHealth devices for seizure detection. Specifically, we display, which types of sensor modalities and analytical methods are available, and give insight into current clinical practice guidelines, main outcomes of clinical validation studies, and discuss how to evaluate device performance at point-of-care facilities. We then address pitfalls which may arise in patient compliance and the need to design solutions adapted to user experience.
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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.