Author: M Moya-Ramon1, M Mateo-March2, I Peña-González1, M Zabala3, A Javaloyes1
1 Sport Science Department, Universidad Miguel Hernández de Elche, Spain.
2 Sport Science Department, Universidad Miguel Hernández de Elche, Spain; Spanish Cycling Federation, Spain. Electronic address: firstname.lastname@example.org.
3 Department of Physical Activity and Sport, University of Granada, Spain.
Conference/Journal: Comput Methods Programs Biomed
Date published: 2022 Feb 9
Other: Volume ID: 217 , Pages: 106696 , Special Notes: doi: 10.1016/j.cmpb.2022.106696. , Word Count: 211
Background and objective:
Heart rate variability (HRV) has been proposed as a useful marker that can show the performance adaptation and optimize the training process in elite athletes. The development of wearable technology permits the measurement of this marker through smartphone applications. The purpose of this study is to assess the validity and reliability of short and ultra-short HRV measurements in elite cyclists using different smartphone applications.
Twenty-six professional cyclists were measured at rest in supine and in seated positions through the simultaneous use of an electrocardiogram and two different smartphone applications that implement different technologies to measure HRV: Elite HRV (with a chest strap) and Welltory (photoplethysmography). Level of significance was set at p < 0.05.
Compared to an electrocardiogram, Elite HRV and Welltory showed no differences neither in supine nor in seated positions (p > 0.05) and they showed very strong to almost perfect correlation levels (r = 0.77 to 0.94). Furthermore, no differences were found between short (5 min) and ultra-short (1 min) length measurements. Intraclass correlation coefficient showed good to excellent reliability and the standard error of measurement remained lower than 6%.
Both smartphone applications can be implemented to monitor HRV using short- and ultra-short length measurements in elite endurance athletes.
Keywords: App, Heart rate variability; Exercise; Ultra-short.
PMID: 35172251 DOI: 10.1016/j.cmpb.2022.106696