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Comparison of training load models for predicting heart rate variability changes
Author
Source
Issue
Vol. 10, Issue 3 (31 Dec. 2023), pp.571-588, 18 p.
Publisher
Publication Date
2023-12-31
Country of Publication
Algeria
No. of Pages
18
Main Subjects
Sports sciences and physical education
Abstract EN
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 H 7 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.
American Psychological Association (APA)
Hajji, Abd al-Rahman. 2023. Comparison of training load models for predicting heart rate variability changes. El Mohtaref Journal،Vol. 10, no. 3, pp.571-588.
https://search.emarefa.net/detail/BIM-1535369
Modern Language Association (MLA)
Hajji, Abd al-Rahman. Comparison of training load models for predicting heart rate variability changes. El Mohtaref Journal Vol. 10, no. 3 (2023), pp.571-588.
https://search.emarefa.net/detail/BIM-1535369
American Medical Association (AMA)
Hajji, Abd al-Rahman. Comparison of training load models for predicting heart rate variability changes. El Mohtaref Journal. 2023. Vol. 10, no. 3, pp.571-588.
https://search.emarefa.net/detail/BIM-1535369
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references: p. 586-588
Record ID
BIM-1535369