Background While anxiety disorders are one of the most prevalent mental diseases, they are
often overlooked due to shortcomings of the existing diagnostic procedures, which …

Mental health disorders (MHDs) have significant medical and financial impacts on patients
and society. Despite the potential opportunities for artificial intelligence (AI) in the mental …

This study aimed to examine the actual effect of down-regulation on the emotional
consequences in adolescents with trait anxiety. A total of 19 adolescents with high trait …

A physiological signal-based Human-Computer Interaction (HCI) system provides a
communication link between human emotional states and external devices. Accurately …

The escalating prevalence of diabetes mellitus underscores the critical need for non-
invasive screening tools capable of early disease detection. Present diagnostic techniques …

Anxiety disorder significantly impacts individuals' well-being and daily functioning,
emphasizing the need for early detection and accurate diagnosis. However, relying solely …

This paper explores the fusion of deep learning, IoT, and state-of-the-art algorithms to
enhance heart rate detection and analysis, crucial for addressing the global surge in …

Over recent years, the number of signals of a different type that can be acquired from the
human body has increased extraordinarily. In addition, the power of digital electronic …

The Internet of Things (IoT) revolution has increased the need for robust cybersecurity
measures due to the increased vulnerability of interconnected devices to botnet attacks …

Anxiety is a common mental disorder that affects millions of people worldwide. Anxiety can
be detected using physiological signals such as heart rate, skin conductance, blood …