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Cristine Agresta1, Michael T Freehill2, Jessica Zendler3

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Summary
This summary is machine-generated.

Wearable sensor location significantly impacts baseball pitcher workload estimates. Forearm sensors best capture pitch-type differences, crucial for training and return-to-sport decisions.

Keywords:
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Area of Science:

  • Sports Medicine
  • Biomechanics
  • Wearable Technology

Background:

  • Accurate estimation of external workload for baseball pitchers is vital for effective training and rehabilitation.
  • Current methods like pitch counts are insufficient for quantifying mechanical loads.
  • Wearable systems offer advanced solutions but lack standardized guidelines for sensor placement and data analysis.

Purpose of the Study:

  • To investigate the influence of sensor location on workload estimation in baseball pitchers.
  • To compare different workload calculation methods.
  • To determine the optimal sensor placement for accurately assessing pitching workload.

Main Methods:

  • Collected acceleration data from ten collegiate pitchers during bullpen sessions.
  • Utilized three sensor locations: trunk, throwing upper arm, and throwing forearm.
  • Analyzed data using four distinct workload estimation calculations, assessing sensor location and pitch type effects.

Main Results:

  • Sensor location significantly affected workload estimates.
  • Forearm sensor data showed significant differences across pitch types.
  • Trunk-mounted sensors may not fully represent upper limb mechanical loads.
  • Forearm sensors demonstrated the highest sensitivity to workload variations across pitch types.

Conclusions:

  • Sensor placement is a critical factor in the accuracy of baseball pitcher workload estimation.
  • Forearm-mounted sensors provide the most sensitive measure of workload differences related to pitch type.
  • Standardized protocols for wearable sensor use are needed to improve the utility of workload data in performance and injury management.