The novel emergency hospital services for patients using digital twins
The Digital twins will duplicate the actual objects, create the virtual world and execute using
IoT devices and Sensors. The Emergency Room Service (ERS) is a critical phase for …
IoT devices and Sensors. The Emergency Room Service (ERS) is a critical phase for …
[HTML][HTML] Artificial Intelligence-Powered Recommender Systems for Promoting Healthy Habits and Active Aging: A Systematic Review
J Lopez-Barreiro, JL Garcia-Soidan… - Applied Sciences, 2024 - mdpi.com
(1) Background: Increasing life expectancy allows for more age-related health issues.
Enhancing physical, cognitive, mental, and social health is crucial. Promoting healthy habits …
Enhancing physical, cognitive, mental, and social health is crucial. Promoting healthy habits …
Personalisation and Recommendation for Mental Health Apps: A Scoping Review
P Matthews, C Rhodes-Maquaire - Behaviour & Information …, 2024 - Taylor & Francis
Personalisation, which tailors to individual preferences, is considered a possible route for
improving engagement with digital mental health (DMH) products. Despite claims about the …
improving engagement with digital mental health (DMH) products. Despite claims about the …
Factors influencing use of fitness apps by adults under influence of COVID-19
Y Guo, X Ma, D Chen, H Zhang - International Journal of Environmental …, 2022 - mdpi.com
During the coronavirus disease 2019 (COVID-19) pandemic, many countries imposed
restrictions and quarantines on the population, which led to a decrease in people's physical …
restrictions and quarantines on the population, which led to a decrease in people's physical …
What Drives Users to Recommend Mobile Fitness Apps? A Three-Stage Analysis Using PLS-SEM, Machine Learning, and fsQCA
In response to the growing demand for studies into recommendation behaviour for mobile
fitness apps, this study identified key drivers of users' recommendation intentions through a …
fitness apps, this study identified key drivers of users' recommendation intentions through a …
A Multi-Section Hierarchical Deep Neural Network Model for Time Series Classification: Applied To Wearable Sensor-Based Human Activity Recognition
Z Ghorrati, A Esmaeili, ET Matson - IEEE Access, 2024 - ieeexplore.ieee.org
Time Series Classification, is one of the very challenging areas in pattern recognition
problems. As the volume of time series data increases, a multitude of TSC algorithms have …
problems. As the volume of time series data increases, a multitude of TSC algorithms have …
A Multi-Model Machine Learning Approach for Monitoring Calories Being Burnt During Workouts Using Smart Calorie Tracer
Y Challagundla, KS Devatha… - … on Pervasive Health …, 2024 - publications.eai.eu
INTRODUCTION: In today's health-conscious world, accurate calorie monitoring during
exercise is crucial for achieving fitness goals and maintaining a healthy lifestyle. However …
exercise is crucial for achieving fitness goals and maintaining a healthy lifestyle. However …
Προσαρμοσμένες λύσεις βελτίωσης της φυσικής κατάστασης: ανάπτυξη μιας εφαρμογής με επίκεντρο τον χρήστη για εξατομικευμένα προγράμματα προπονήσεων και …
Ά Αλαχούζος - 2024 - dione.lib.unipi.gr
Η εφαρμογή Fitness App αποτελεί ένα εξατομικευμένο πρόγραμμα γυμναστικής που
αναπτύχθηκε με στόχο την προσαρμογή των προπονήσεων στις ατομικές ανάγκες κάθε …
αναπτύχθηκε με στόχο την προσαρμογή των προπονήσεων στις ατομικές ανάγκες κάθε …
Analysis of the influence of gym construction on medical staff's physical activity under the National Fitness Program: Based on the evolutionary game
H Wang, Z Xu, Y Liu, H Feng - 2023 - researchsquare.com
To alleviate the job burnout of medical staff and improve their physical and mental health,
this study proposes building a hospital gym to solve the problem of physical inactivity of …
this study proposes building a hospital gym to solve the problem of physical inactivity of …