The article demonstrates enhanced athlete performance through monitoring technologies in rowing, indicating a need for data-driven decisions.
The article explores the contemporary approaches and technologies used for monitoring training activities in the context of academic rowing. Particular emphasis is placed on the integration of traditional control methods—such as physiological testing, functional diagnostics, and biomechanical assessment—with modern innovations including wearable technologies, inertial sensors, video analysis systems, and big data processing platforms. The study reviews international practices in athlete monitoring, drawing examples from leading countries in rowing such as Great Britain, Germany, Australia, the United States, and China. These countries employ advanced technologies like telemetry-based lactate testing, real-time biomechanical feedback systems (example BioRowTel), and psychophysiological diagnostics supported by software platforms (example Polar Team Pro, Catapult). The analysis results indicate that a comprehensive and systematic approach to training control significantly enhances athlete performance, improves crew compatibility in team boats, and reduces the likelihood of overtraining and injury. The findings emphasize the strategic importance of adopting data-driven decision-making processes and technology-assisted feedback in preparing elite rowers, setting a benchmark for national sport science and coaching systems.
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Yakovenko et al. (2025) studied this question.
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