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Applied Sciences
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Data-Driven Physiology in Sport: Optimizing Athlete Performance, Load & Recovery
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Data-Driven Physiology in Sport: Optimizing Athlete Performance, Load & Recovery

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 477

Special Issue Editors

Dr. Enrique Alonso Perez-Chao

E-Mail Website
Guest Editor
1. Department of Physical Activity and Sports Science, University Alfonso X El Sabio, 28691 Villanueva de la Cañada, Spain
2. Faculty of Sports Science, European University of Madrid, 28670 Villaviciosa de Odón, Spain
Interests: basketball; load monitoring; team sports; most demanding scenarios
Special Issues, Collections and Topics in MDPI journals
Dr. Alberto Lorenzo Calvo

E-Mail Website
Guest Editor
Faculty of Sport Sciences, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: talent development; coach development; performance analysis in team sports
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to gather innovative research exploring the application of data-driven approaches to monitoring, interpreting, and optimizing physiological responses in sport. Advances in wearable technologies, sensor systems, and artificial intelligence now allow practitioners to collect and analyze vast amounts of information regarding athlete performance, training load, and recovery. By integrating physiological, biomechanical, and contextual data, our ability to understand adaptation processes, detect fatigue, and design individualized interventions has been enhanced. We welcome the submission of original studies, methodological papers, and reviews that address monitoring strategies, decision-support systems, recovery optimization, and practical applications across different sports and performance levels. Ultimately, this Special Issue aims to present novel insights and applied research that aids coaches, sport scientists, and health professionals in translating complex data into actionable strategies to enhance athlete performance, reduce the risk of injury, and improve recovery.

Dr. Enrique Alonso Perez-Chao
Dr. Alberto Lorenzo Calvo
Guest Editors

Manuscript Submission Information

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Keywords

  • athlete monitoring 
  • data-driven approaches 
  • training load 
  • recovery strategies 
  • wearable technology 
  • decision-support systems 
  • sport performance

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Published Papers (1 paper)

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Research

13 pages, 465 KB  
Article
Agreement Between Face-to-Face and Tele-Assessment of Shoulder Function and Clinical Impairment in Female Handball Players with Previous Shoulder Injury
by Javier Martín Núñez, Andrés Calvache Mateo, Laura López López, Rafael Jiménez López, Jiawi André Guo Liang, Marie Carmen Valenza and María del Carmen García Ríos
Appl. Sci. 2026, 16(8), 3858; https://doi.org/10.3390/app16083858 - 16 Apr 2026
Viewed by 174
Abstract
Background: Shoulder injuries are highly prevalent in handball due to repetitive overhead actions and high mechanical demands, particularly in athletes with a history of previous injury who remain at increased risk of recurrence. Reliable monitoring of shoulder function is essential, and tele-assessment [...] Read more.
Background: Shoulder injuries are highly prevalent in handball due to repetitive overhead actions and high mechanical demands, particularly in athletes with a history of previous injury who remain at increased risk of recurrence. Reliable monitoring of shoulder function is essential, and tele-assessment has emerged as a potential alternative to traditional face-to-face evaluation. The aim of this study was to evaluate the level of agreement between face-to-face and tele-assessment methods for measuring shoulder range of motion, dynamic stability, muscular endurance, and scapular dyskinesia in female handball players with a history of shoulder injury. Methods: A cross-sectional agreement study was conducted in 25 competitive female handball players with a history of shoulder injury. Each participant underwent two evaluations (face-to-face and videoconference-based) performed by experienced physiotherapists in randomized order within the same session. Outcomes included shoulder range of motion, dynamic stability assessed by the Upper Quarter Y Balance Test, muscular endurance, and scapular dyskinesia. Agreement between methods was analyzed using two-way random-effects intraclass correlation coefficients. Results: Excellent agreement was observed for range of motion, dynamic stability, and muscular endurance (ICC = 0.96–1.00), with narrow confidence intervals. Scapular dyskinesia demonstrated good agreement (Cohen’s Kappa coefficient 0.59 (p < 0.05)). Mean differences between face-to-face and tele-assessment were minimal, ranging from 0.04° to 0.31° for ROM and 0.10 cm to 0.16 cm for stability measures. Conclusions: Tele-assessment provides clinically comparable results to in-person evaluation and may represent a feasible and reliable tool for remote monitoring of shoulder function in female overhead athletes with a history of injury. Full article
(This article belongs to the Special Issue Data-Driven Physiology in Sport: Optimizing Athlete Performance, Load & Recovery)
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