AIMC Topic: Stress, Psychological
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Exploring new scientific innovations in combating suicide: a stress detection wristband.
The Pan African medical journal
Nov 28, 2024
There is a silent pandemic of suicides around the world, with an exponential increase in suicidality and chronic suicidal ideations. The exact global estimates cannot be accurately ascertained, but analysis will put it at more than a million annually...
Exploring the Psychological and Physiological Effects of Operating a Telenoid: The Preliminary Assessment of a Minimal Humanoid Robot for Mediated Communication.
Sensors (Basel, Switzerland)
Nov 26, 2024
BACKGROUND: As the Internet of Things (IoT) expands, it enables new forms of communication, including interactions mediated by teleoperated robots like avatars. While extensive research exists on the effects of these devices on communication partners...
Stress recognition identifying relevant facial action units through explainable artificial intelligence and machine learning.
Computer methods and programs in biomedicine
Nov 17, 2024
BACKGROUND AND OBJECTIVE: Facial cues and expressions constitute a component of bodily responses that provide useful information about one's stress levels. According to the Facial Action Coding System, they can be modelled consistently in terms of fu...
The use of 4D data-independent acquisition-based proteomic analysis and machine learning to reveal potential biomarkers for stress levels.
Journal of bioinformatics and computational biology
Nov 15, 2024
Research suggests that individuals who experience prolonged exposure to stress may be at higher risk for developing psychological stress disorders. Currently, psychological stress is primarily evaluated by professional physicians using rating scales,...
Recognizing and explaining driving stress using a Shapley additive explanation model by fusing EEG and behavior signals.
Accident; analysis and prevention
Nov 12, 2024
Driving stress is a critical factor leading to road traffic accidents. Despite numerous studies that have been conducted on driving stress recognition, most of them only focus on accuracy improvement without taking model interpretability into account...
Speech production under stress for machine learning: multimodal dataset of 79 cases and 8 signals.
Scientific data
Nov 12, 2024
Early identification of cognitive or physical overload is critical in fields where human decision making matters when preventing threats to safety and property. Pilots, drivers, surgeons, and operators of nuclear plants are among those affected by th...
QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals.
Scientific reports
Nov 9, 2024
The most cost-effective data collection method is electroencephalography (EEG), which obtains meaningful information about the brain. Therefore, EEG signal processing is crucial for neuroscience and machine learning (ML). Therefore, a new EEG stress ...
Academic-related stressors predict depressive symptoms in graduate students: A machine learning study.
Behavioural brain research
Nov 7, 2024
BACKGROUND: Graduate students face higher depression rates worldwide, which were further exacerbated during the COVID-19 pandemic. This study employed a machine learning approach to predict depressive symptoms using academic-related stressors.
Detection of Low Resilience Using Data-Driven Effective Connectivity Measures.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 1, 2024
Conventional thresholding techniques for graph theory analysis, such as absolute, proportional and mean degree, have often been used in characterizing human brain networks under different mental disorders, such as mental stress. However, these approa...
Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency.
Artificial intelligence in medicine
Sep 29, 2024
BACKGROUND & OBJECTIVES: Mental health disorders pose an increasing public health challenge worsened by the COVID-19 pandemic. The pandemic highlighted gaps in preparedness, emphasizing the need for early identification of at-risk groups and targeted...
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