[HTML][HTML] Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy

S Ramgopal, S Thome-Souza, M Jackson, NE Kadish… - Epilepsy & behavior, 2014 - Elsevier
Nearly one-third of patients with epilepsy continue to have seizures despite optimal
medication management. Systems employed to detect seizures may have the potential to …

[HTML][HTML] Automated seizure detection systems and their effectiveness for each type of seizure

A Ulate-Campos, F Coughlin, M Gaínza-Lein… - Seizure, 2016 - Elsevier
Epilepsy affects almost 1% of the population and most of the approximately 20–30% of
patients with refractory epilepsy have one or more seizures per month. Seizure detection …

A multi-view deep learning framework for EEG seizure detection

Y Yuan, G Xun, K Jia, A Zhang - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
The recent advances in pervasive sensing technologies have enabled us to monitor and
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …

EEG seizure detection and prediction algorithms: a survey

TN Alotaiby, SA Alshebeili, T Alshawi, I Ahmad… - EURASIP Journal on …, 2014 - Springer
Epilepsy patients experience challenges in daily life due to precautions they have to take in
order to cope with this condition. When a seizure occurs, it might cause injuries or endanger …

[Retracted] Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches

M Natu, M Bachute, S Gite, K Kotecha… - … Methods in Medicine, 2022 - Wiley Online Library
Epileptic seizures occur due to brain abnormalities that can indirectly affect patient's health.
It occurs abruptly without any symptoms and thus increases the mortality rate of humans …

Automatic seizure detection using fully convolutional nested LSTM

Y Li, Z Yu, Y Chen, C Yang, Y Li… - International journal of …, 2020 - World Scientific
The automatic seizure detection system can effectively help doctors to monitor and diagnose
epilepsy thus reducing their workload. Many outstanding studies have given good results in …

Various epileptic seizure detection techniques using biomedical signals: a review

Y Paul - Brain informatics, 2018 - Springer
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 …

[HTML][HTML] Non-EEG seizure detection systems and potential SUDEP prevention: state of the art: review and update

A Van de Vel, K Cuppens, B Bonroy, M Milosevic… - Seizure, 2016 - Elsevier
Purpose Detection of, and alarming for epileptic seizures is increasingly demanded and
researched. Our previous review article provided an overview of non-invasive, non-EEG …

Enabling stroke rehabilitation in home and community settings: a wearable sensor-based approach for upper-limb motor training

SI Lee, CP Adans-Dester, M Grimaldi… - IEEE journal of …, 2018 - ieeexplore.ieee.org
High-dosage motor practice can significantly contribute to achieving functional recovery after
a stroke. Performing rehabilitation exercises at home and using, or attempting to use, the …

Systems and methods for sensorimotor rehabilitation

JT Gwin - US Patent 9,311,789, 2016 - Google Patents
(57) ABSTRACT A sensorimotor rehabilitation system can analyze body movement
kinematics of a person, and in particular analyze the use of limbs (eg, upper limbs) to …