Mental disorders are rapidly increasing each year and have become a major challenge
affecting the social and financial well-being of individuals. There is a need for phenotypic …

Background: Wearable multi-modal time-series classification applications outperform their
best uni-modal counterparts and hold great promise. A modality that directly measures …

According to the WHO, the number of mental disorder patients, especially depression
patients, has overgrown and become a leading contributor to the global burden of disease …

Abstract Background and Objective: Major Depressive Disorder is a highly prevalent and
disabling mental health condition. Numerous studies explored multimodal fusion systems …

Depression is a common and serious mood disorder that negatively affects the patient's
capacity of functioning normally in daily tasks. Speech is proven to be a vigorous tool in …

Background Automatic diagnosis of depression based on speech can complement mental
health treatment methods in the future. Previous studies have reported that acoustic …

Early interventions in mental health conditions such as Major Depressive Disorder (MDD)
are critical to improved health outcomes, as they can help reduce the burden of the disease …

The sound of a person's voice is commonly used to identify the speaker. The sound of
speech is also starting to be used to detect medical conditions, such as depression. It is not …

There is an urgent need to detect depression using a non-intrusive approach that is reliable
and accurate. In this paper, a simple and efficient unimodal depression detection approach …

The high prevalence of depression in society has given rise to a need for new digital tools
that can aid its early detection. Among other effects, depression impacts the use of …