[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 …
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
In the last two decades new noninvasive mobile electroencephalography (EEG) solutions
have been developed to overcome limitations of conventional clinical EEG and to improve …
have been developed to overcome limitations of conventional clinical EEG and to improve …
[HTML][HTML] 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 …
positions of an individual. The eye data can be collected and recorded using an eye tracker …
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 …
attention thanks to the unique potential it offers to solve complex healthcare problems for …
The future of wearable EEG: A review of ear-EEG technology and its applications
The future of wearable EEG: A review of ear-EEG technology and its applications Page 1 Journal
of Neural Engineering ACCEPTED MANUSCRIPT The future of wearable EEG: A review of …
of Neural Engineering ACCEPTED MANUSCRIPT The future of wearable EEG: A review of …
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 …
monitoring of patients suffering from cardiovascular diseases, particularly myocardial …
Visual seizure annotation and automated seizure detection using behind‐the‐ear electroencephalographic channels
Objective Seizure diaries kept by patients are unreliable. Automated
electroencephalography (EEG)‐based seizure detection systems are a useful support tool to …
electroencephalography (EEG)‐based seizure detection systems are a useful support tool to …
Laelaps: An energy-efficient seizure detection algorithm from long-term human iEEG recordings without false alarms
We propose Laelaps, an energy-efficient and fast learning algorithm with no false alarms for
epileptic seizure detection from long-term intracranial electroencephalography (iEEG) …
epileptic seizure detection from long-term intracranial electroencephalography (iEEG) …
Epilepsygan: Synthetic epileptic brain activities with privacy preservation
Epilepsy is a chronic neurological disorder affecting more than 65 million people worldwide
and manifested by recurrent unprovoked seizures. The unpredictability of seizures not only …
and manifested by recurrent unprovoked seizures. The unpredictability of seizures not only …
[HTML][HTML] Interpreting deep learning models for epileptic seizure detection on EEG signals
Abstract While Deep Learning (DL) is often considered the state-of-the art for Artificial Intel-
ligence-based medical decision support, it remains sparsely implemented in clinical practice …
ligence-based medical decision support, it remains sparsely implemented in clinical practice …