[HTML][HTML] Wearable artificial intelligence for anxiety and depression: Scoping 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] Immersive virtual reality for improving cognitive deficits in children with ADHD: a systematic review and meta-analysis
N Corrigan, CR Păsărelu, A Voinescu - Virtual Reality, 2023 - Springer
Virtual reality (VR) shows great potential in treating and managing various mental health
conditions. This includes using VR for training or rehabilitation purposes. For example, VR is …
conditions. This includes using VR for training or rehabilitation purposes. For example, VR is …
Hyperacusis: Loudness intolerance, fear, annoyance and pain
Hyperacusis is a debilitating loudness intolerance disorder that can evoke annoyance, fear
and aural facial pain. Although the auditory system seems to be the “central” player …
and aural facial pain. Although the auditory system seems to be the “central” player …
[HTML][HTML] Machine learning in biosignals processing for mental health: A narrative review
Machine Learning (ML) offers unique and powerful tools for mental health practitioners to
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
[HTML][HTML] Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation
The bold vision of AI-driven pervasive physiological monitoring, through the proliferation of
off-the-shelf wearables that began a decade ago, has created immense opportunities to …
off-the-shelf wearables that began a decade ago, has created immense opportunities to …
[HTML][HTML] Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …
the technologies that have been exploited to detect or predict depression. The current …
Machine learning-assisted wearable triboelectric-electromagnetic vibration sensor for monitoring human rehabilitation training
S Li, J Qian, J Liu, Y Xue, J Zhang, Y Liu, X Hu… - … Systems and Signal …, 2023 - Elsevier
Wearable vibration sensors for human motion monitoring are beneficial for doctors to
observe the process of patient rehabilitation diagnosis and treatment in real-time. However …
observe the process of patient rehabilitation diagnosis and treatment in real-time. However …
Artificial Intelligence‐Based Medical Sensors for Healthcare System
The aging population and the prevalence of infectious diseases have impacted the
traditional medical order, significantly increasing the burden on healthcare and adversely …
traditional medical order, significantly increasing the burden on healthcare and adversely …
[HTML][HTML] Machine Learning-Based Aggression Detection in Children with ADHD Using Sensor-Based Physical Activity Monitoring
Aggression in children is highly prevalent and can have devastating consequences, yet
there is currently no objective method to track its frequency in daily life. This study aims to …
there is currently no objective method to track its frequency in daily life. This study aims to …
Inpatient Psychiatric Care for Children and Adolescents: Increasing the Integration of Service and Science
M Patriquin, AD Thompson… - … -Based Practice in …, 2022 - Taylor & Francis
The past decade has seen a significant increase in rates of mental illness for youth,
including a dramatic increase in rates of suicide. This rise in youth mental illness coincides …
including a dramatic increase in rates of suicide. This rise in youth mental illness coincides …