[HTML][HTML] Automated epileptic seizure detection in pediatric subjects of CHB-MIT EEG database—a survey

J Prasanna, MSP Subathra, MA Mohammed… - Journal of Personalized …, 2021 - mdpi.com
Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures.
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …

Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review

A Biondi, V Santoro, PF Viana, P Laiou, DK Pal… - …, 2022 - Wiley Online Library
In the last two decades new noninvasive mobile electroencephalography (EEG) solutions
have been developed to overcome limitations of conventional clinical EEG and to improve …

The future of wearable EEG: A review of ear-EEG technology and its applications

N Kaongoen, J Choi, JW Choi, H Kwon… - Journal of neural …, 2023 - iopscience.iop.org
Objective. This review paper provides a comprehensive overview of ear-
electroencephalogram (EEG) technology, which involves recording EEG signals from …

A machine-learning approach for stress detection using wearable sensors in free-living environments

M Abd Al-Alim, R Mubarak, NM Salem… - Computers in Biology and …, 2024 - Elsevier
Stress is a psychological condition resulting from the body's response to challenging
situations, which can negatively impact physical and mental health if experienced over …

Embedded machine learning using microcontrollers in wearable and ambulatory systems for health and care applications: A review

MS Diab, E Rodriguez-Villegas - IEEE Access, 2022 - ieeexplore.ieee.org
The use of machine learning in medical and assistive applications is receiving significant
attention thanks to the unique potential it offers to solve complex healthcare problems for …

Eye-tracking feature extraction for biometric machine learning

JZ Lim, J Mountstephens, J Teo - Frontiers in neurorobotics, 2022 - frontiersin.org
Context Eye tracking is a technology to measure and determine the eye movements and eye
positions of an individual. The eye data can be collected and recorded using an eye tracker …

Real-time event-driven classification technique for early detection and prevention of myocardial infarction on wearable systems

D Sopic, A Aminifar, A Aminifar… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A considerable portion of government health-care spending is allocated to the continuous
monitoring of patients suffering from cardiovascular diseases, particularly myocardial …

Self-supervised learning with attention mechanism for EEG-based seizure detection

T **ao, Z Wang, Y Zhang, S Wang, H Feng… - … Signal Processing and …, 2024 - Elsevier
Epilepsy is a neurological disorder caused by abnormal brain discharges, which can be
diagnosed by electroencephalography (EEG). Although EEG signals are usually easy to …

Visual seizure annotation and automated seizure detection using behind‐the‐ear electroencephalographic channels

K Vandecasteele, T De Cooman, J Dan, E Cleeren… - …, 2020 - Wiley Online Library
Objective Seizure diaries kept by patients are unreliable. Automated
electroencephalography (EEG)‐based seizure detection systems are a useful support tool to …

Decentralized federated learning for epileptic seizures detection in low-power wearable systems

S Baghersalimi, T Teijeiro, A Aminifar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In healthcare, data privacy of patients regulations prohibits data from being moved outside
the hospital, preventing international medical datasets from being centralized for AI training …