المحترف
Volume 10, Numéro 3, Pages 571-588
2023-12-19
Comparison Of Training Load Models For Predicting Heart Rate Variability Changes
Authors : Hadji Abderrahmen .
Abstract
The aim of this study is to compare different training load (TL) models to predict changes in heart rate variability (HRV). TL was evaluated using the heart rate stress score (HRSS), while HRV was measured in the morning using a Polar H7 chest strap and an Android application during a 2-minute period for an individual adult engaged in recreational running. The results indicate that the REDI model exhibits the highest correlation with HRV indices. Specifically, the REDI model's Lambda values of 0.1, 0.03, and 0.02 demonstrate the strongest correlations with low frequency (LF), high frequency (HF), and Ln_RMSSD_RA (p<0.001), respectively. The Acute and Chronic load of both the EWMA and Coggan models exhibit similar correlations with LF (p<0.05). Conversely, no linear correlation was observed between any of the models' Training Stress Balance (TSB) and HRV. In non-linear regression, the Chronic_EWMA showed stronger relationship with Ln_RMSSD_RA compared to other models.
Keywords
Training Load Monitoring ; Heart Rate Variability ; Modeling
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