Parkinson's disease (PD) is affecting about 1.2 million patients in Europe with a prevalence
that is expected to have an exponential increment, in the next decades. This epidemiological …

Background There has been rapid growth of mobile and wearable tools that may help to
overcome challenges in the diagnosis and prediction of Major Depressive Disorder in …

Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

Emotion sensing using physiological signals in real-life situations can be practically
valuable. Previous studies have developed wearable devices that record autonomic …

The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …

Objectives Self‐monitoring is recommended for individuals with bipolar disorder, with
numerous technological solutions available. This study aimed to identify basic components …

The monitoring of depressed mood plays an important role as a diagnostic tool in
psychotherapy. An automated analysis of speech can provide a non-invasive measurement …

Background Rapid advances in the capability and affordability of digital technology have
begun to allow for the intensive monitoring of psychological and physiological processes …

Objective Previous studies have shown positive treatment outcomes of e-mental health
applications targeting depression. However, few applications provide personalized features …

Advances in smartphone technology allow for the assessment of disease processes in real
time outside of the lab or clinic, providing novel information with greater ecological validity …