Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …

Background Anxiety and depression are the most common mental disorders worldwide.
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …

With the rapid development of the Internet of Things (IoT), Big Data technologies have
emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to …

Wearable technologies can be innovative solutions for healthcare problems. In this study,
we conducted a literature review of wearable technology applications in healthcare. Some …

Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …

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 …

This paper reports on how emotional states elicited by affective sounds can be effectively
recognized by means of estimates of Autonomic Nervous System (ANS) dynamics …

Objective: This paper aims to identify periods of depression using geolocation movements
recorded from mobile phones in a prospective community study of individuals with bipolar …

Objective We aimed to develop a machine learning algorithm to screen for depression and
assess severity based on data from wearable devices. Methods We used a wearable device …

Background Heart rate variability (HRV) has been suggested reduced in bipolar disorder
(BD) compared with healthy individuals (HC). This meta-analysis investigated: HRV …