Digital twins in sports science: applications for performance enhancement, injury prevention, and rehabilitation through advanced big data analytics and deep learning methodologies – a comprehensive narrative review
- DOI
- 10.5114/biolsport.2026.161106
- Published
- 2026
- Container
- Biology of Sport
- Publisher
- Termedia Sp. z.o.o.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5114/biolsport.2026.161106,
title = {Digital twins in sports science: applications for performance
enhancement, injury prevention, and rehabilitation through
advanced big data analytics and deep learning methodologies – a comprehensive narrative review},
author = {Afef Sédiri and Sabri Barbaria and Halil Ceylan and Andrea De Giorgio and Luca Puce and Valentina Stefanica and Nicola Bragazzi and Ismail Dergaa and Hanene Rahmouni},
year = {2026},
journal = {Biology of Sport},
doi = {10.5114/biolsport.2026.161106},
url = {https://doi.org/10.5114/biolsport.2026.161106}
}RIS
TY - JOUR TI - Digital twins in sports science: applications for performance enhancement, injury prevention, and rehabilitation through advanced big data analytics and deep learning methodologies – a comprehensive narrative review AU - Afef Sédiri AU - Sabri Barbaria AU - Halil Ceylan AU - Andrea De Giorgio AU - Luca Puce AU - Valentina Stefanica AU - Nicola Bragazzi AU - Ismail Dergaa AU - Hanene Rahmouni PY - 2026 JO - Biology of Sport DO - 10.5114/biolsport.2026.161106 UR - https://doi.org/10.5114/biolsport.2026.161106 ER -
APA
Sédiri, A., Barbaria, S., Ceylan, H., Giorgio, A. D., Puce, L., Stefanica, V., Bragazzi, N., Dergaa, I., & Rahmouni, H. (2026). Digital twins in sports science: applications for performance enhancement, injury prevention, and rehabilitation through advanced big data analytics and deep learning methodologies – a comprehensive narrative review. Biology of Sport. https://doi.org/10.5114/biolsport.2026.161106
Source records
- crossref · retrieved 2026-09-26T03:35:54.609Z