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Mobile Networks and Applications
Erschienen in:

21.08.2023

Hybrid IoT-Edge-Cloud Computing-based Athlete Healthcare Framework: Digital Twin Initiative

verfasst von: Shtwai Alsubai, Mohemmed Sha, Abdullah Alqahtani, Munish Bhatia

Erschienen in: Mobile Networks and Applications | Ausgabe 6/2023

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Abstract

In dem Artikel wird ein hybrides IoT-Edge-Cloud Computing-Framework für die Gesundheitsversorgung von Athleten diskutiert, das sich auf die Integration digitaler Zwillingstechnologie konzentriert. Dieses Rahmenwerk ermöglicht die Echtzeit-Überwachung und Vorhersage gesundheitlicher Schwachstellen während des Trainings unter Verwendung von Bayesschen Glaubensnetzwerken und Multi-Scale Long Short Term Memory (M-LSTM) -Modellen. Das vorgeschlagene System bietet wesentliche Verbesserungen bei der Datenerhebung, Klassifizierung und Vorhersagegenauigkeit und ist daher ein wertvolles Werkzeug für Sportwissenschaftler, Gesundheitstechnologen und Datenwissenschaftler. Die Fähigkeit des Rahmenwerks, proaktive Gesundheitsdienstleistungen anzubieten und die Sicherheit von Athleten während intensiver Trainingseinheiten zu verbessern, hebt es von anderen ähnlichen Forschungsarbeiten ab.
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Fußnoten
2
Source:https://sports.ndtv.com/othersports/sports-ministry-to-spend-rs-190-cr-on-training-of-athletes-for-commonwealth-asian-games-2861956
 
3
Source:https://www.wtsp.com/article/sports/olympics/cost-of-being-an-olympian/67-7711bf2f-56bd-451f-ac8e-ac6afb5d5864
 
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Metadaten
Titel
Hybrid IoT-Edge-Cloud Computing-based Athlete Healthcare Framework: Digital Twin Initiative
verfasst von
Shtwai Alsubai
Mohemmed Sha
Abdullah Alqahtani
Munish Bhatia
Publikationsdatum
21.08.2023
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 6/2023
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-023-02200-z

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