Residual and bidirectional LSTM for epileptic seizure detection

W Zhao, WF Wang, LM Patnaik, BC Zhang… - Frontiers in …, 2024 - frontiersin.org
Electroencephalogram (EEG) plays a pivotal role in the detection and analysis of epileptic
seizures, which affects over 70 million people in the world. Nonetheless, the visual …

Wearable detection of tonic seizures in childhood epilepsy: an exploratory cohort study

R Proost, J Macea, L Lagae, W Van Paesschen… - …, 2023 - pubmed.ncbi.nlm.nih.gov
Objective To investigate the performance of a multimodal wearable device for the offline
detection of tonic seizures (TS) in a pediatric childhood epilepsy cohort, with a focus on …

[HTML][HTML] Seizure-related differences in biosignal 24-h modulation patterns

S Vieluf, R El Atrache, S Cantley, M Jackson, J Clark… - Scientific reports, 2022 - nature.com
A seizure likelihood biomarker could improve seizure monitoring and facilitate adjustment of
treatments based on seizure risk. Here, we tested differences in patient-specific 24-h …

Seizures detection using multimodal signals: a scoping review

F Chen, I Chen, M Zafar, SR Sinha… - Physiological …, 2022 - iopscience.iop.org
Introduction. Epileptic seizures are common neurological disorders in the world, impacting
65 million people globally. Around 30% of patients with seizures suffer from refractory …

Explainable AI for wearable seizure logging: impact of data quality, patient age, and antiseizure medication on performance

M Halimeh, M Jackson, S Vieluf… - … : European Journal of …, 2023 - Elsevier
Objective Objective seizure count estimates are crucial for ambulatory epilepsy
management. Wearables have shown promise for the detection of tonic-clonic seizures but …

Differentiation of subclinical and clinical electrographic events in long‐term electroencephalographic recordings

MA Castillo Rodriguez, A Brandt… - …, 2023 - Wiley Online Library
Objective With the advent of ultra‐long‐term recordings for monitoring of epilepsies, the
interpretation of results of isolated electroencephalographic (EEG) recordings covering only …

[PDF][PDF] Epileptic Seizures Diagnosis Using Amalgamated Extremely Focused EEG Signals and Brain MRI.

F Mohammad, S Al-Ahmadi - Computers, Materials & Continua, 2023 - researchgate.net
There exists various neurological disorder based diseases like tumor, sleep disorder,
headache, dementia and Epilepsy. Among these, epilepsy is the most common neurological …

Neural network based seizure detection system using statistical package analysis

P Rajendran, K Ganapathy - Bulletin of Electrical Engineering and …, 2022 - beei.org
Due to the unpredictable interruptions within the functions of the human brain, disturbance
occurs and it affects the behavior of the human and is equally laid low with the frequent …

Machine learning and clinical neurophysiology

J Ray, L Wijesekera, S Cirstea - Journal of Neurology, 2022 - Springer
Clinical neurophysiology constructs a wealth of dynamic information pertaining to the
integrity and function of both central and peripheral nervous systems. As with many …

Autonomic biosignals, seizure detection, and forecasting

G Miron, M Halimeh, J Jeppesen, T Loddenkemper… - …, 2024 - Wiley Online Library
Wearable devices have attracted significant attention in epilepsy research in recent years for
their potential to enhance patient care through improved seizure monitoring and forecasting …