[HTML][HTML] Wearable artificial intelligence for anxiety and depression: sco** review
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 …
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review
R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
Machine learning for anxiety detection using biosignals: a review
Anxiety disorder (AD) is a major mental health illness. However, due to the many symptoms
and confounding factors associated with AD, it is difficult to diagnose, and patients remain …
and confounding factors associated with AD, it is difficult to diagnose, and patients remain …
Exploration of physiological sensors, features, and machine learning models for pain intensity estimation
In current clinical settings, typically pain is measured by a patient's self-reported information.
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
This comprehensive review article embarks on an extensive exploration of anxiety research,
navigating a multifaceted landscape that incorporates various disciplines, such as molecular …
navigating a multifaceted landscape that incorporates various disciplines, such as molecular …
[HTML][HTML] Wearable artificial intelligence for detecting anxiety: systematic review and meta-analysis
Background Anxiety disorders rank among the most prevalent mental disorders worldwide.
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
Integrating biosignals measurement in virtual reality environments for anxiety detection
This paper proposes a protocol for the acquisition and processing of biophysical signals in
virtual reality applications, particularly in phobia therapy experiments. This protocol aims to …
virtual reality applications, particularly in phobia therapy experiments. This protocol aims to …
[HTML][HTML] Biofeedback-based connected mental health interventions for anxiety: systematic literature review
M Alneyadi, N Drissi, M Almeqbaali… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Connected mental health, which refers to the use of technology for mental
health care and technology-based therapeutic solutions, has become an established field of …
health care and technology-based therapeutic solutions, has become an established field of …
Wearables measuring electrodermal activity to assess perceived stress in care: a sco** review
Background: Chronic stress responses can lead to physical and behavioural health
problems, often experienced and observed in the care of people with intellectual disabilities …
problems, often experienced and observed in the care of people with intellectual disabilities …
Human state anxiety classification framework using EEG signals in response to exposure therapy
Human anxiety is a grave mental health concern that needs to be addressed in the
appropriate manner in order to develop a healthy society. In this study, an objective human …
appropriate manner in order to develop a healthy society. In this study, an objective human …