AIMC Topic: Anxiety
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An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.
Sensors (Basel, Switzerland)
Jan 15, 2020
In this paper, we investigate various machine learning classifiers used in our Virtual Reality (VR) system for treating acrophobia. The system automatically estimates fear level based on multimodal sensory data and a self-reported emotion assessment....
Could a rising robot workforce make humans less prejudiced?
The American psychologist
Jan 9, 2020
Automation is becoming ever more prevalent, with robot workers replacing many human employees. Many perspectives have examined the economic impact of a robot workforce, but here we consider its social impact: How will the rise of robot workers affect...
The diagnosticity of psychophysiological signatures: Can we disentangle mental workload from acute stress with ECG and fNIRS?
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Oct 19, 2019
The ability to identify reliable and sensitive physiological signatures of psychological dimensions is key to developing intelligent adaptive systems that may in turn help to mitigate human error in complex operations. The challenge of this endeavor ...
Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis.
Human brain mapping
Oct 1, 2019
Previous structural and functional neuroimaging studies have implicated distributed brain regions and networks in depression. However, there are no robust imaging biomarkers that are specific to depression, which may be due to clinical heterogeneity ...
Comparing blind spots of unsedated ultrafine, sedated, and unsedated conventional gastroscopy with and without artificial intelligence: a prospective, single-blind, 3-parallel-group, randomized, single-center trial.
Gastrointestinal endoscopy
Sep 18, 2019
BACKGROUND AND AIMS: EGD is the most vital procedure for the diagnosis of upper GI lesions. We aimed to compare the performance of unsedated ultrathin transoral endoscopy (U-TOE), unsedated conventional EGD (C-EGD), and sedated C-EGD with or without ...
Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.
International journal of molecular sciences
Aug 29, 2019
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physical and emotional symptoms. Although its pathophysiology is largely unknown, immune-inflammatory pathways may be involved. We examined serum interleuki...
Toward Robust Anxiety Biomarkers: A Machine Learning Approach in a Large-Scale Sample.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Jun 21, 2019
BACKGROUND: The field of psychiatry has long sought biomarkers that can objectively diagnose patients, predict treatment response, or identify individuals at risk of illness onset. However, reliable psychiatric biomarkers have yet to emerge. The rece...
Artificial Intelligence based facial recognition for Mood Charting among men on life style modification and it's correlation with cortisol.
Asian journal of psychiatry
May 11, 2019
UNLABELLED: Today, clinicians and researchers believe that mood disorders in children and adolescents remain one of the most under diagnosed mental health problems. Mood disorders in adolescents also put them at risk for other conditions that may per...
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.
IEEE journal of biomedical and health informatics
Apr 26, 2019
Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectively known as internalizing disorders, are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This p...
Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.
Medicina (Kaunas, Lithuania)
Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Hand Strength
Recovery of Function
Robotics
Double-Blind Method
Humans
Virtual Reality Exposure Therapy
Attention
Exercise Therapy
Middle Aged
Prospective Studies
Upper Extremity
Range of Motion, Articular
Anxiety
Female
Stroke Rehabilitation
Analysis of Variance
Cognition
Aged
Memory
Treatment Outcome
Spatial Navigation
Biomechanical Phenomena
Male
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