AIMC Topic: Stress, Psychological
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Analyzing mental stress in Indian students through advanced machine learning and wearable technologies.
Scientific reports
Jul 1, 2025
Mental stress is a prevalent issue in modern society, and detecting and classifying it accurately is crucial for effective interventions and treatment plans. This study aims to compare various machine learning (ML) algorithms for detecting mental str...
A deep learning approach to stress recognition through multimodal physiological signal image transformation.
Scientific reports
Jul 1, 2025
Stress is widely acknowledged as a significant contributor to health issues. Recognizing stress involves assessing an individual's physiological and psychological responses to stressors, which is crucial for human well-being. Physiological signal-bas...
Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.
Scientific reports
Jun 23, 2025
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide accessible alternatives to traditional methods, but their efficacy remains modest, potentially due to ...
Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.
Sensors (Basel, Switzerland)
May 20, 2025
This study explores nursing students' stress responses while they are being trained in a mixed reality (MR) setting that replicates highly stressful clinical scenarios. Using measurements of physiological indices such as heart rate, electrodermal act...
Validating Emotion Analysis on Social Media Text for Detecting Psychological Distress: A Cross-Sectional Survey.
Issues in mental health nursing
Apr 23, 2025
This study investigates the relationship between self-reported psychological distress and emotions in social media posts, using a deep learning-based emotion analysis model. A cross-sectional design was used, collecting data from Instagram and Thread...
Influence pathways of noise exposure on people's negative emotions and health across different activity contexts: A neural network-based double machine learning approach.
Health & place
Mar 30, 2025
Noise is a major global environmental issue that raises concerns about both mental and physical health. However, few studies have investigated the mediating role of emotions in the pathways linking noise exposure to health outcomes. Additionally, man...
Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study.
JMIR research protocols
Mar 25, 2025
BACKGROUND: While cognitive behavioral therapy has shown efficacy in treating stress-related disorders, such as adjustment disorder and exhaustion disorder, knowledge about factors contributing to treatment response is limited. Improved identificatio...
On-Chip Mental Stress Detection: Integrating a Wearable Behind-The-Ear EEG Device With Embedded Tiny Neural Network.
IEEE journal of biomedical and health informatics
Mar 6, 2025
The study introduces an innovative approach to efficient mental stress detection by combining electroencephalography (EEG) analysis with on-chip neural networks, taking advantage of EEG's temporal resolution and the computational capabilities of embe...
Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer.
Scientific reports
Feb 17, 2025
Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in the time between heartbeats and offers insights into health. Artificial intelligence (AI) research aims to u...
Effectiveness of social robots in improving psychological well-being of hospitalised children: A systematic review and meta-analysis.
Journal of pediatric nursing
Feb 17, 2025
AIM: To evaluate the effectiveness of social robots in reducing pain, stress, and anxiety among hospitalised children.
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