ReviewBrain informatics2018
Various epileptic seizure detection techniques using biomedical signals: a review.
Review in Brain informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed, 118 citations in OpenAlex.
- LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- Multiscale predictive modeling robustly improves the accuracy of pseudo-prospective seizure forecasting in drug-resistant epilepsy.bioRxiv : the preprint server for biology · 2025Article
- Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network.Scientific reports · 2025Article
- Efficient Sleep Stage Identification Using Piecewise Linear EEG Signal Reduction: A Novel Algorithm for Sleep Disorder Diagnosis.Sensors (Basel, Switzerland) · 2024Article
- Is the regulation of lamotrigine on depression in patients with epilepsy related to cytokines?Heliyon · 2024Article
- Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives.Royal Society open science · 2024Article
- Article
- Advanced framework for epilepsy detection through image-based EEG signal analysis.Frontiers in human neuroscience · 2024Article
- Epileptic Patient Activity Recognition System Using Extreme Learning Machine Method.Biomedicines · 2023Article
- Epileptic seizure focus detection from interictal electroencephalogram: a survey.Cognitive neurodynamics · 2023Review
- Capturing the power of seizures: an empirical mode decomposition analysis of epileptic activity in the mouse hippocampus.Frontiers in molecular neuroscience · 2023Article
- Can Presurgical Interhemispheric EEG Connectivity Predict Outcome in Hemispheric Surgery? A Brain Machine Learning Approach.Brain sciences · 2022Article
- Seizure Detection: A Low Computational Effective Approach without Classification Methods.Sensors (Basel, Switzerland) · 2022Article
- GluR3B Antibody Was a Biomarker for Drug-Resistant Epilepsy in Patients With Focal to Bilateral Tonic-Clonic Seizures.Frontiers in immunology · 2022Article
- Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches.Computational and mathematical methods in medicine · 2022Review
- Epileptic Seizures Detection Using Deep Learning Techniques: A Review.International journal of environmental research and public health · 2021Review
- The Challenging Path to Developing a Mobile Health Device for Epilepsy: The Current Landscape and Where We Go From Here.Frontiers in neurology · 2021Review
- A community effort for automatic detection of postictal generalized EEG suppression in epilepsy.BMC medical informatics and decision making · 2020Article
- Automatic seizure detection based on imaged-EEG signals through fully convolutional networks.Scientific reports · 2020Article
- Head mounted telemetry system for seizures monitoring and sleep scoring on non-human primate.Journal of neuroscience methods · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Epilepsy is a chronic chaos of the central nervous system that influences individual's daily life by putting it at risk due to repeated seizures. Epilepsy affects more than 2% people worldwide of which developing countries are affected worse. A seizure is a transient irregularity in the brain's electrical activity that produces disturbing physical symptoms such as a lapse in attention and memory, a sensory illusion, etc. Approximately one out of every three patients have frequent seizures, despite treatment with multiple anti-epileptic drugs. According to a survey, population aged 65 or above in European Union is predicted to rise from 16.4% (2004) to 29.9% (2050) and also this tremendous increase in aged population is also predicted for other countries by 2050. In this paper, seizure detection techniques are classified as time, frequency, wavelet (time-frequency), empirical mode decomposition and rational function techniques. The aim of this review paper is to present state-of-the-art methods and ideas that will lead to valid future research direction in the field of seizure detection.
Indexed as
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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.