Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images
Epilepsy is a prevalent neurological disorder with considerable risks, including physical
impairment and irreversible brain damage from seizures. Given these challenges, the …
impairment and irreversible brain damage from seizures. Given these challenges, the …
[HTML][HTML] Disrupted organization of dynamic functional networks with application in epileptic seizure recognition
T Azizi - Neuroscience Informatics, 2024 - Elsevier
Recently, characterizing the dynamics of brain functional networks at task free or cognitive
tasks has developed different research efforts in the field of neuroscience. Epilepsy is an …
tasks has developed different research efforts in the field of neuroscience. Epilepsy is an …
[HTML][HTML] Integration of eye-tracking systems with sport concussion assessment tool 5th edition for mild TBI and concussion diagnostics in neurotrauma: Building a …
AM Fiedler, R Anghinah, FDN Vasconcellos… - Neuroscience …, 2023 - Elsevier
Abstract Traumatic Brain Injuries (TBIs), including mild TBI (mTBI) and concussions, affect an
estimated 69 million individuals annually with significant cognitive, physical, and …
estimated 69 million individuals annually with significant cognitive, physical, and …
[HTML][HTML] Comparison of patient non-specific seizure detection using multi-modal signals
GM Sigsgaard, Y Gu - Neuroscience Informatics, 2024 - Elsevier
Epilepsy is the neurological disorder affecting around 50 million people worldwide. It is
characterized by recurrent and unpredictable seizures. Correctly counting seizure …
characterized by recurrent and unpredictable seizures. Correctly counting seizure …
Robust Epileptic Seizure Detection using LSTM and Feature Fusion from Compressed Time-Frequency EEG Images
Epilepsy is a prevalent neurological disorder with considerable risks, including physical
impairment and irreversible brain damage from seizures. Given these challenges, the …
impairment and irreversible brain damage from seizures. Given these challenges, the …
Comparative Analysis of Electroencephalogram Signals Using Ensemble Methods for Epilepsy Detection
S Niranjan, SA Raj, TJ Jebaseeli, S Marshal… - … Advancements in AI …, 2024 - igi-global.com
A timely and precise diagnosis is essential for effective treatment of epilepsy, a neurological
condition characterized by recurrent seizures. Because of their capacity to capture cerebral …
condition characterized by recurrent seizures. Because of their capacity to capture cerebral …
Epileptic Seizure Diagnosis using Bayesian Belief Network and T-CNN
S Poovarasu, R Gopinath, A Mohanraj… - 2024 International …, 2024 - ieeexplore.ieee.org
Epilepsy, a neurological disorder characterized by recurring seizures, presents considerable
challenges in diagnosis. This study proposes a novel diagnostic approach integrating …
challenges in diagnosis. This study proposes a novel diagnostic approach integrating …
[PDF][PDF] Neuroscience Informatics
AM Fiedler, R Anghinah, FDN Vasconcellos, AA Morell… - 2023 - researchgate.net
TBIs, encompassing mTBIs and concussions, present a pressing global health challenge [1–
3]. The repercussions of undetected or misinterpreted TBIs can be profound, with potential …
3]. The repercussions of undetected or misinterpreted TBIs can be profound, with potential …