AIMC Topic: Stress, Psychological

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Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks.

Human brain mapping Feb 24, 2020
Electroencephalogram (EEG) microstates that represent quasi-stable, global neuronal activity are considered as the building blocks of brain dynamics. Therefore, the analysis of microstate sequences is a promising approach to understand fast brain dyn...
Time Factors Magnetic Resonance Imaging Electroencephalography Datasets as Topic Cerebral Cortex Connectome Neural Networks, Computer Adult Male Middle Aged Humans Stress, Psychological
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Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques.

Journal of medical systems Feb 17, 2020
Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress detection can be considered...
Humans Machine Learning Algorithms Female Adolescent Stress, Psychological Time Factors Smartphone Bayes Theorem Reproducibility of Results Young Adult Adult Male Accelerometry Social Environment Inositol
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Identifying treatment effects of an informal caregiver education intervention to increase days in the community and decrease caregiver distress: a machine-learning secondary analysis of subgroup effects in the HI-FIVES randomized clinical trial.

Trials Feb 14, 2020
BACKGROUND: Informal caregivers report substantial burden and depressive symptoms which predict higher rates of patient institutionalization. While caregiver education interventions may reduce caregiver distress and decrease the use of long-term inst...
Quality of Life Humans Depression Machine Learning Stress, Psychological Female Cognitive Dysfunction Veterans Aged Treatment Outcome Family Aged, 80 and over Follow-Up Studies Caregivers Age Factors Male Institutionalization Randomized Controlled Trials as Topic Middle Aged Long-Term Care Data Interpretation, Statistical
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Crowd of Oz: A Crowd-Powered Social Robotics System for Stress Management.

Sensors (Basel, Switzerland) Jan 20, 2020
Coping with stress is crucial for a healthy lifestyle. In the past, a great deal of research has been conducted to use socially assistive robots as a therapy to alleviate stress and anxiety related problems. However, building a fully autonomous socia...
Crowdsourcing Stress, Psychological Robotics Psychotherapy Man-Machine Systems Humans Algorithms Communication Speech
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Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress.

Nutrients Dec 23, 2019
The feasibility of detecting mild dehydration by using autonomic responses to cognitive stress was studied. To induce cognitive stress, subjects ( = 17) performed the Stroop task, which comprised four minutes of rest and four minutes of test. Nine in...
Heart Rate Dehydration Galvanic Skin Response Stroop Test Autonomic Nervous System Sensitivity and Specificity Male Stress, Psychological Cognition Support Vector Machine Humans Machine Learning Young Adult Adult
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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 ...
Male Anxiety Spectroscopy, Near-Infrared Prefrontal Cortex Humans Stress, Psychological Machine Learning Electrocardiography Female Memory, Short-Term Young Adult Psychomotor Performance Adult Executive Function
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Physiological indices of challenge and threat: A data-driven investigation of autonomic nervous system reactivity during an active coping stressor task.

Psychophysiology Aug 13, 2019
We utilized a data-driven, unsupervised machine learning approach to examine patterns of peripheral physiological responses during a motivated performance context across two large, independent data sets, each with multiple peripheral physiological me...
Adaptation, Psychological Humans Heart Function Tests Galvanic Skin Response Autonomic Nervous System Male Electromyography Middle Aged Heart Rate Adolescent Female Datasets as Topic Stress, Psychological Aged Unsupervised Machine Learning Fear Young Adult Adult
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Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents' mental health.

Health & place Aug 7, 2019
Previous studies have shown that perceptions of neighborhood safety are associated with various mental health outcomes. However, scant attention has been paid to the mediating pathways by which perception of neighborhood safety affects mental health....
Machine Learning Female Adult Mental Health Male Exercise China Stress, Psychological Urban Population Humans Residence Characteristics Personal Satisfaction Safety Social Environment
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Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

Artificial intelligence in medicine Jul 26, 2019
BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) regulation that might result in short and long-term health complications and even death if not properly managed. Currently, there is no cure for diabet...
Data Mining Humans Exercise Blood Glucose Self-Monitoring Stress, Psychological Mobile Applications Machine Learning Feeding Behavior Wearable Electronic Devices Diabetes Mellitus, Type 1 Diet Patient-Specific Modeling Blood Glucose Hypoglycemic Agents Insulin Models, Biological
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Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.

Journal of medical Internet research Apr 26, 2019
BACKGROUND: Investigations into person-specific predictors of stress have typically taken either a population-level nomothetic approach or an individualized ideographic approach. Nomothetic approaches can quickly identify predictors but can be hinder...
Adult Data Collection Male Humans Middle Aged Machine Learning Stress, Psychological Female Young Adult
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