Author
Listed:
- Alexandros Iliadis
(Sports Medicine Laboratory, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece)
- Milena Tomovic
(Sports Medicine Laboratory, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece)
- Dimitrios Dervas
(Sports Medicine Laboratory, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece)
- Markella Psymarnou
(Vidavo S.A., Balkan Center, 57001 Thessaloniki, Greece)
- Kosmas Christoulas
(Laboratory of Evaluation of Human Biological Performance, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece)
- Evangelia Joseph Kouidi
(Sports Medicine Laboratory, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece)
- Asterios Pantazis Deligiannis
(Sports Medicine Laboratory, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece)
Abstract
Background: Cycling is a very demanding physical activity that may create various health disorders during an athlete’s career. Recently, smart mobile and wearable technologies have been used to monitor physiological responses and possible disturbances during physical activity. Thus, the application of mHealth methods in sports poses a challenge today. This study used a novel mobile-Health method to monitor athletes’ physiological responses and to detect health disorders early during cycling in elite athletes. Methods: Sixteen high-level cyclists participated in this study, which included a series of measurements in the laboratory; health and performance assessments; and then application in the field of mHealth monitoring in two training seasons, at the beginning of their training period and in the race season. A field monitoring test took place during 30 min of uphill cycling with the participant’s heart rate at the ventilatory threshold. During monitoring periods, heart rate, oxygen saturation, respiratory rate, and electrocardiogram were monitored via the mHealth system. Moreover, the SpO 2 was estimated continuously, and the symptoms during effort were reported. Results: A significant correlation was found between the symptoms reported by the athletes in the two field tests and the findings recorded with the application of the mHealth monitoring method. However, from the pre-participation screening in the laboratory and from the spiroergometric tests, no abnormal findings were detected that were to blame for the appearance of the symptoms. Conclusions: The application of mHealth monitoring during competitive cycling is a very useful method for the early recording of cardiac and other health disorders of athletes, whose untimely evaluation could lead to unforeseen events.
Suggested Citation
Alexandros Iliadis & Milena Tomovic & Dimitrios Dervas & Markella Psymarnou & Kosmas Christoulas & Evangelia Joseph Kouidi & Asterios Pantazis Deligiannis, 2021.
"A Novel mHealth Monitoring System during Cycling in Elite Athletes,"
IJERPH, MDPI, vol. 18(9), pages 1-9, April.
Handle:
RePEc:gam:jijerp:v:18:y:2021:i:9:p:4788-:d:546682
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Cited by:
- Răzvan-Sandu Enoiu & Iulia Găinariu & Veronica Mîndrescu, 2023.
"Implementing Modern Technology for Vital Sign Monitoring to Enhance Athletic Training and Sports Performance,"
Sustainability, MDPI, vol. 15(3), pages 1-16, January.
- Nicola Pegoraro & Benedetta Rossini & Melchiore Giganti & Eric Brymer & Erik Monasterio & Pierre Bouchat & Francesco Feletti, 2023.
"Telemedicine in Sports under Extreme Conditions: Data Transmission, Remote Medical Consultations, and Diagnostic Imaging,"
IJERPH, MDPI, vol. 20(14), pages 1-17, July.
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