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Monitoring Internal and External Load During Volleyball Competition
International Journal of Sports Physiology and Performance
|February 15, 2022
Summary
Elite volleyball players show strong links between internal load (heart rate) and external load (activity) during matches. Time-series analysis effectively models these relationships for practical workload monitoring.
Area of Science:
- Sports Science
- Biomechanics
- Exercise Physiology
Background:
- Understanding the relationship between internal and external load is crucial for optimizing training and preventing injuries in elite athletes.
- Volleyball demands high physical exertion, making continuous monitoring of athlete workload essential.
Purpose of the Study:
- To identify the relationships between continuously measured internal and external load variables during elite volleyball competition.
- To assess the applicability of time-series modeling for analyzing workload dynamics in volleyball.
Main Methods:
- Eight elite male volleyball athletes were monitored during official matches using wearable technology (1 Hz sampling).
- Internal load was measured via heart rate (HR), and external load via accelerometer-based activity.
- Correlation analysis and dynamic time-series modeling were employed to analyze workload during game play and specific actions (serving, spiking).
Main Results:
- Significant correlations were found between peak acceleration and maximal heart rate during warm-up serves and spikes.
- A significant correlation was observed between mean heart rate and mean activity throughout the entire match (ρ = .67).
- Time-series models demonstrated a good fit (RT2 = .83 for individual actions, .67 for entire matches) in explaining heart rate dynamics based on activity.
Conclusions:
- Strong relationships exist between internal and external load during volleyball competition.
- Second-order transfer function models can effectively explain the dynamics of heart rate in response to accelerometer-based activity.
- Continuous, time-series analysis of workload is a viable and recommended practice for monitoring volleyball athletes.
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