Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …

Health conditions, encompassing both physical and mental aspects, hold an influence that
extends beyond the individual. These conditions affect personal well-being, relationships …

With the increasing proliferation of embedded sensors in wearable devices, there is
potential for modeling individual emotional and mental state variations. The popular …

Many countries around the world are facing a shortage of healthcare resources, especially
during the post-epidemic era, leading to a dramatic increase in the need for self-detection …

Passive non-invasive sensing signals from wearable devices and smartphones are typically
collected continuously without user input. This passive and continuous data collection …

The rapid advancement in wearable physiological measurement technology in recent years
has brought affective computing closer to everyday life scenarios. Recognizing affective …

Human biosignals provide essential information for diagnosing diseases such as dementia
and Parkinson's disease. Owing to the shortcomings of current clinical assessments …

Objective: To evaluate the anti-depressant activity of" Nelumbo nucifera" in experimental
mice. Methods: The acute toxicity studies were conducted on fresh" Nelumbo nucifera" …

This systematic literature review (SLR) explores the broad application of Artificial
Intelligence (AI) in healthcare, with a focus on integrating emotional and cognitive analysis …

This systematic literature review (SLR) explores the application of Artificial Intelligence (AI)
and deep learning methods in emotion recognition and patient-centric healthcare. The …