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This chapter explores the impact of load monitoring on performance, highlighting biomechanical asymmetries, neuromuscular inefficiencies, and training adaptations. Practitioners can track internal and external loadExternal load to tailor individualized programs using force platesForce plate, Inertial Measurement Units (IMUs)Inertial Measurement Units (IMUs), and wearable technologyWearable technology. Following the exploration of data’s impact on programming, this chapter then looks at case studies to provide a practical overview. Integrating AI-driven insights with traditional methods ensures injury mitigation and career longevity in elite sports.

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Data Driven Injury Mitigation: Athlete Case Studies and Load Management Technologies

  • 章节

  • 发表日期：

    2026年

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  • Jui Shah,
  • Andrea Hudy

摘要

This chapter explores the impact of load monitoring on performance, highlighting biomechanical asymmetries, neuromuscular inefficiencies, and training adaptations. Practitioners can track internal and external loadExternal load to tailor individualized programs using force platesForce plate, Inertial Measurement Units (IMUs)Inertial Measurement Units (IMUs), and wearable technologyWearable technology. Following the exploration of data’s impact on programming, this chapter then looks at case studies to provide a practical overview. Integrating AI-driven insights with traditional methods ensures injury mitigation and career longevity in elite sports.