Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[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 …
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 …
patients with refractory epilepsy have one or more seizures per month. Seizure detection …
A multi-view deep learning framework for EEG seizure detection
The recent advances in pervasive sensing technologies have enabled us to monitor and
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …
EEG seizure detection and prediction algorithms: a survey
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 …
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
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 …
It occurs abruptly without any symptoms and thus increases the mortality rate of humans …
Automatic seizure detection using fully convolutional nested LSTM
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 …
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 …
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
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 …
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
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 …
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 …
kinematics of a person, and in particular analyze the use of limbs (eg, upper limbs) to …