Electroencephalography (EEG) is a diagnostic test that records and measures the electrical
activity of the human brain. Research investigating human behaviors and conditions using …

Stress has become a dangerous health problem in our life, especially in student education
journey. Accordingly, previous methods have been conducted to detect mental stress based …

In this paper, a general overview of the different kinds of filters, their applications in real
world and the various pitfalls of filtering have been briefly discussed with a special focus on …

Background and objective Electroencephalogram (EEG) is one of the most demanded
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …

Schizophrenia is a fatal mental disorder, which affects millions of people globally by the
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …

Sensor-based activity recognition seeks to provide higher-level knowledge about human
activities from multiple sensors such as accelerometer and gyroscope. Thanks to growing …

Electrocardiogram (ECG) is mostly used for the clinical diagnosis of cardiac arrhythmia due
to its simplicity, non-invasiveness, and reliability. Recently, many models based on the deep …

Continuous authentication is crucial for protecting user's privacy throughout their login
session. Existing studies employ wireless sensing technologies to provide device-free and …

Surgical intervention or the control of drug-refractory epilepsy requires accurate analysis of
invasive inspection intracranial EEG (iEEG) data. A multi-branch deep learning fusion model …

Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue,
this technology continues to be retained by people (especially the young community). To …