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The use of technology in tracking soccer players’ health performance: a scoping review

Authors :
Jassim Almulla
Abdulrahman Takiddin
Mowafa Househ
Source :
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-10 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background Quantifying soccer players’ performance using different types of technologies helps coaches in making tactical decisions and maintaining players’ health. Little is known about the relation between the performance measuring technologies and the metrics they measure. The aim of this study is to identify and group the different types of technologies that are used to track the health-related performance metrics of soccer players. Methods We conducted a systematic search for articles using IEEE Xplore, PubMed, ACM DL, and papers from the Sports Medicine Journal. The papers were screened and extracted by two reviewers. The included papers had to fall under several criteria, including being about soccer, measuring health-related performance, and using technology to measure players’ performance. A total of 1,113 papers were reviewed and 1,069 papers were excluded through the selection process. Results We reviewed 44 papers and grouped them based on the technology used and health-related metrics tracked. In terms of technology, we categorized the used technologies into wearable technologies (N=27/44) and in-field technologies (N=14/44). We categorized the tracked health-related metrics into physiological metrics (N=16/44) and physical metrics (N=44/44). We found out that wearable technologies are mainly used to track physical metrics (N=27/27) and are also used to track physiological metrics (N=14/27). In-field technologies are only used to track physical metrics (N=24/24). Conclusion Understanding how technology is related to players’ performance and how it is used leads to an improvement in the monitoring process and performance outcomes of the players.

Details

Language :
English
ISSN :
14726947
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.0ba01864e59940d89b116c642c0ef1fc
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-020-01156-4