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] Automated epileptic seizure detection in pediatric subjects of CHB-MIT EEG database—a survey
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 …
The future of wearable EEG: A review of ear-EEG technology and its applications
Objective. This review paper provides a comprehensive overview of ear-
electroencephalogram (EEG) technology, which involves recording EEG signals from …
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 …
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 …
attention thanks to the unique potential it offers to solve complex healthcare problems for …
Eye-tracking feature extraction for biometric machine learning
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 …
Real-time event-driven classification technique for early detection and prevention of myocardial infarction on wearable systems
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 …
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 …
diagnosed by electroencephalography (EEG). Although EEG signals are usually easy to …
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 …
Decentralized federated learning for epileptic seizures detection in low-power wearable systems
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 …
the hospital, preventing international medical datasets from being centralized for AI training …