EEG

Impaired brain-heart relation in patients with methamphetamine use disorder during VR induction of drug cue reactivity
Impaired brain-heart relation in patients with methamphetamine use disorder during VR induction of drug cue reactivity 1978 2560 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Methamphetamine use disorder (MUD) is an illness associated with severe health consequences. Virtual reality (VR) is used to induce the drug-cue reactivity and significant EEG and ECG abnormalities were… read more

Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring
Author(s)3: Mehmet Kaya, Ersoy Subasi, Vignesh Balasubramanian, Eyad Talal Attar
Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring 660 295 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Stress is a significant risk factor for various diseases such as hypertension, heart attack, stroke, and even sudden death. Stress can also lead to psychological and behavioral disorders. Heart…

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Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG
Author(s)3: Lingyun Wu, Jing Liu, Lin Zhu, Haitao Yu, Shanshan Li, Jiang Wang, Kai Li
Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG 433 380 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Alzheimer’s disease is a neurodegenerative disease in old age, early diagnosis will help to delay the progression of the disease. Presently, the features of brain functional diseases can be obtained…

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A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data
Author(s)3: Md. Rashed-Al-Mahfuz, Mohammad Ali Moni, Shahadat Uddin, Salem A. Alyami, Mattew A. Summers, Valsamma Eapen
A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Diagnosing epileptic seizures using electroencephalogram (EEG) in combination with deep learning computational methods has received much attention in recent years. However, to date, deep learning techniques in seizure detection…

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Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals
Author(s)3: Imran Razzak, Ibrahim Hameed, Guandong Xu
Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals 780 598 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

   Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes.…

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