The comprehensive diagnostic capabilities of hardware-software systems in sports medicine enable early detection of maladaptation and overtraining in athletes, detectable one to three weeks prior to performance decline.
The integration of psychophysiological testing, HRV analysis, stress ergometry, and real-time ECG monitoring provides a comprehensive approach for optimizing athletic training and early detection of overtraining.
Background: The achievement of peak athletic performance while preserving athlete health requires coordinated functioning of organs and systems at multiple physiological levels. This article examines the diagnostic capabilities of modern hardware-software systems applied in sports medicine for comprehensive assessment of athlete functional status. Methods: The study addresses three principal domains: (1) psychophysiological assessment, including cognitive function evaluation, motor and sensory analyzer testing, and psychological status profiling; (2) current functional state evaluation using heart rate variability (HRV) analysis in accordance with the International Standard (Task Force of ESC and NASPE, 1996), incorporating cross-analysis of HRV and respiratory cycle duration variability (RCDV); and (3) physical work capacity assessment through stress ergometry with individualized training load optimization. The multi-level diagnostic approach encompasses spectral analysis of cardiac rhythm, autonomic nervous system balance evaluation through orthostatic testing, and real-time ECG radiotelemetry monitoring during training sessions. Results: HRV spectral power dynamics - specifically, the relationship between high-frequency (HF), low-frequency (LF), and very-low-frequency (VLF) components - serve as early prognostic indicators of maladaptation and overtraining, detectable one to three weeks before decline in athletic performance. Cross-analysis of cardiac and respiratory rhythms provides additional diagnostic precision by revealing desynchronization between regulatory centers. Conclusion: The integration of psychophysiological testing, HRV-based functional diagnostics, stress ergometry, and real-time telemetric monitoring constitutes a rational multi-level approach to training process optimization and early detection of pathological deviations in athletes.
V. M. Alekseev (Tue,) conducted a other in Athletic performance and health monitoring. Comprehensive diagnostic capabilities of hardware-software systems was evaluated on Early detection of maladaptation and overtraining through HRV analysis. The comprehensive diagnostic capabilities of hardware-software systems in sports medicine enable early detection of maladaptation and overtraining in athletes, detectable one to three weeks prior to performance decline.