Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …

Wearable strain sensors are emerging as promising devices for monitoring human motions
and physiological signals in various fields, such as healthcare, robotics, and sports. Among …

Background. Psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BD), and
depression (DPR) are some of the leading causes of disability and suicide worldwide. The …

Neuropsychiatric symptoms (NPS) and mood disorders are common in individuals with mild
cognitive impairment (MCI) and increase the risk of progression to dementia. Wearable …

Currently, the integration of artificial intelligence (AI) techniques with multimodal
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …

The objective identification of depression using physiological data has emerged as a
significant research focus within the field of psychiatry. The advancement of wearable …

Major depressive disorder (MDD) is a chronic mental illness which affects people's well-
being and is often detected at a later stage of depression with a likelihood of suicidal …

Depression is a significant risk factor for other serious health conditions, such as heart
failure, dementia, and diabetes. In this study, a quantitative method was developed to detect …

This study aimed to explore the physiological dynamics of cognitive stress in patients with
Major Depressive Disorder (MDD) and design a multiparametric model for objectively …

Cardiovascular (CVD) risk detection using Electrocardiography (ECG) and
photoplethysmography (PPG) signals is an emerging field of research in the area of …