Digital health data are multimodal and high-dimensional. A patient's health state can be
characterized by a multitude of signals including medical imaging, clinical variables …

The use of heart rate variability (HRV) in research has been greatly popularized over the
past decades due to the ease and affordability of HRV collection, coupled with its clinical …

Objective Physical or mental imbalance caused by harmful stimuli can induce stress to
maintain homeostasis. During chronic stress, the sympathetic nervous system is …

Deliberate control of the breath (breathwork) has recently received an unprecedented surge
in public interest and breathing techniques have therapeutic potential to improve mental …

Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective
strategy to mitigate the burden of CVDs has been to monitor patients' biomedical variables …

Affective Computing has emerged as an important field of study that aims to develop
systems that can automatically recognize emotions. Up to the present, elicitation has been …

Understanding transient dynamics of the autonomic nervous system during fear learning
remains a critical step to translate basic research into treatment of fear‐related disorders. In …

Background Heart rate variability is used as an assessment method for cardiac autonomic
modulation. Since the Task Force's publication on heart rate variability in 1996, the …

Background The heart is the central organ of the circulatory system, which maintains the flow
of blood along with the transport of nutrients to different cells and tissues. A well-functioning …

This paper demonstrates a new technology that can infer a person's emotions from RF
signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections …