Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions

Sensors, Journal Year: 2023, Volume and Issue: 23(17), P. 7435 - 7435

Published: Aug. 25, 2023

Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on patient's characteristics. Moreover, enables telemedicine, including telesurgery, early predictions, and diagnosis diseases. This represents an important for modern societies, especially current situation pandemics. The release fifth-generation cellular system (5G), advances in wearable device manufacturing, technologies, e.g., artificial intelligence (AI), edge computing, Internet Things (IoT), are main drivers evolutions systems. To this end, work considers introducing advances, trends, requirements Medical (IoMT) ultimate such networks era 5G next-generation discussed. design challenges research directions these networks. key enabling technologies systems, AI distributed

Language: Английский

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Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers

Cyberpsychology Behavior and Social Networking, Journal Year: 2024, Volume and Issue: 27(8), P. 588 - 598

Published: Aug. 1, 2024

This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety security. The adverse effects disorders on their performance pose a particular risk, especially in sudden unexpected startle situations. Therefore, early detection, prediction prevention deterioration ATCs, particularly among those at high are crucial to minimize potential crash incidents caused human factors. Recent research artificial intelligence (AI) demonstrates machine deep learning, edge cloud computing, virtual reality wearable multimodal physiological sensors for monitoring predicting disorders. Longitudinal analysis pilots' ATCs physiological, cognitive behavioral states could help predict individuals risk undisclosed or emerging Utilizing AI tools methodologies identify select these preventive training interventions be promising effective approach preventing accidents attributed factors related problems. Based insights, advocates design multidisciplinary healthcare ecosystem modern aviation using technologies, foster more efficient management, thereby enhancing security standards. proposed requires collaboration experts, including psychologists, neuroscientists, physiologists, psychiatrists, etc. address aviation.

Language: Английский

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Should the existing science of teams be applied to fluid teams? An exploration of fluid team effectiveness within the context of healthcare simulation

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15

Published: Feb. 1, 2024

Introduction Fluid teams have become increasingly prevalent and necessary for modern-day issues, yet they differ from more traditional teams, on which much of the current literature is based. For example, fluid are often comprised members different disciplines or organizational divisions who do not a shared history future, as come together to perform critical, time-sensitive task, then disband. these reasons, mechanisms through function may those research needed better understand differences. Methods To this end, study utilized critical incident techniques thematic analysis examine within healthcare, one primary contexts in prevalent. Interdisciplinary faculty students medical field encounter simulation-based education were prompted reflect key factors that facilitate hinder team effectiveness. Results Primary themes extracted pertained conditions operate (e.g., high-stress), behaviors emergent states contribute their success communication), KSAO’s value possess readiness). These compared existing literature, yielding identification some similarities but also many important differences between teams. Discussion A series practical recommendations how promote effectiveness presented.

Language: Английский

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An Intelligent Mobile Application to Classify Employee Mental Workload Based on Eeg Dataset Using Machine Learning

Published: Jan. 1, 2025

Mental workload assessment is critical in professional environments where cognitive demands influence productivity and well-being. Traditional methods for assessing mental workload, which often rely on subjective measures, lack the reliability required real-time applications. This study presents an innovative approach to measuring by integrating machine learning with electroencephalography data enhance objectivity. Using Emotiv headset, brain activity was collected while participants performed job simulation tasks. The employed a dual-model framework: ResNet-34 deep model analyzed Power Spectral Density images of activity, achieving classification accuracy 70\%, Support Vector Machine trained task performance metrics NASA Task Load Index self-assessment independently classified levels. outputs these models were combined meta-learning framework, further improved achieved significant gains. validated incorporated into mobile application, enabling workload. framework demonstrates potential scalable monitoring adaptive management across various industries. Future research aims incorporate additional physiological explore clinical

Language: Английский

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Evaluation of a Biomathematical Modeling Software Tool for the Prediction of Risk in Flight Schedules Compared Against Incidence of Fatigue Reports

Safety, Journal Year: 2025, Volume and Issue: 11(1), P. 4 - 4

Published: Jan. 7, 2025

Background: Modeling tools should be tested against real-world outcomes to confirm their predictive ability compared random chance. Insights is an analytical tool within the biomathematical modeling software SAFTE-FAST that identifies work patterns consistently result in elevated fatigue risk. This study investigated of correctly identify duties with associated report using previously collected flight schedule and data. Methods: Planned completed roster schedules were analyzed after rosters had been flown. Fatigue reports independently linked planned at duty level. Odds ratio (OR) analysis predict which would a report. Differences one-way variance (ANOVA) two-sample t-test. Results: There 157 out 78,061 235 82,612 duties. 3.04 odds identifying but 0.41 for Discussion: showed good poor from schedules. Completed started later day shorter duration than Day-of-operations changes may have reduced risk response reports.

Language: Английский

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In the captain’s chair: a cross-sectional study on back pain among commercial airline pilots in Saudi Arabia

BMC Musculoskeletal Disorders, Journal Year: 2025, Volume and Issue: 26(1)

Published: Feb. 12, 2025

Language: Английский

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A mixed reality approach to identify cognitive performance and mental states in preferred vs. non-preferred individual and collaborative work environments

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112806 - 112806

Published: Feb. 1, 2025

Language: Английский

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Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis

Frontiers in Neuroergonomics, Journal Year: 2025, Volume and Issue: 6

Published: March 5, 2025

This study aims to investigate the relationship between subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in results from EEG microstate analysis. Specifically, we seek identify correlations distinct patterns each dimension included flight evaluations, shedding light neurophysiological mechanisms underlying aviation expertise possible directions for future improvements training. Proficiency is crucial safety modern where pilots need maneuver through an array of situations, ranging routine takeoffs landings complex weather conditions emergencies. However, aspects remain largely unexplored. research bridges gap by examining specific levels, offering insights into cognitive underpinnings skill efficiency development. analysis was employed examine trainees while they performed tasks under a simulator-based training process. Trainees' evaluated experienced instructors across five dimensions data were analyzed associations parameters microstates with successful control. The experimental revealed significant levels microstates. Notably, these varied dimensions, highlighting multifaceted nature proficiency. Noteworthy positive class E G control, emphasizing role attentional processes, perceptual integration, working memory, flexibility, decision-making, executive expertise. Conversely, negative C F indicated links tasks. findings underscore multidimensional proficiency emphasize significance processes achieving These markers offer basis designing targeted programs interventions enhance skills.

Language: Английский

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Cognitive incapacitation in aviation: a narrative review

Theoretical Issues in Ergonomics Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: March 6, 2025

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A study of dynamic functional connectivity changes in flight trainees based on a triple network model

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 6, 2025

The time-varying functional connectivity of the Central Executive Network (CEN), Default Mode (DMN), and Salience (SN) in flight trainees during a resting state was investigated using dynamic network (dFNC). study included 39 37 age- sex-matched healthy controls. Resting-state fMRI data behavioral test outcomes were obtained from both groups. Independent component analysis (ICA), sliding window, K-means clustering approaches utilized for evaluating (FNC) temporal metrics based on triple networks. Correlation analyses performed assessments these metrics. demonstrated significantly enhanced connection linking CEN DMN 2 (P < 0.05, FDR corrected). Additionally, spent less time 5, while they exhibited protracted mean dwell fractional windows 2, which correlated with accuracy Berg Card Sorting Test (BCST) Change Detection (all P 0.05). improved between following completion rigorous training resulted increased stability. This enhancement may be relevant to cognitive abilities such as decision-making, memory, information integration. When multitasking, displayed superior visual processing skills flexibility. dFNC research provides unique perspective sophisticated capabilities that are required high-demand, high-stress occupations piloting, thereby providing significant insights into intricate brain mechanisms inherent domains.

Language: Английский

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