New Insights in Heart Rate Variability Through Non-Linear Methods for Conditioning Assessment in Horses.

Nonlinear HRV analysis provides nuanced assessment of training adaptations in equine athletes.

This study evaluated heart rate variability (HRV) as a non-invasive fitness assessment tool in 12 purebred Arabian horses undergoing submaximal conditioning at lactate threshold speeds. Researchers analyzed HRV using traditional time and frequency domain methods alongside nonlinear analytical approaches. Following conditioning, horses demonstrated improved aerobic fitness with concurrent reductions in vagal tone indices and notably absent respiratory sinus arrhythmia (RSA). These findings support the parasympathetic saturation hypothesis, which suggests that enhanced parasympathetic modulation at the sinoatrial node paradoxically reduces heart rate fluctuations by saturating vagal activity capacity. The decreased RSA and lower parasympathetic indices contribute to reduced overall HRV post-conditioning. The study demonstrates that nonlinear HRV metrics provide superior sensitivity for detecting complex cardiovascular autonomic changes compared to conventional analyses, offering clinicians a more sophisticated tool for monitoring training responses and optimizing conditioning protocols in equine athletes.

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