Date Presented

Spring 4-2026

Document Type

Thesis

First Advisor

Dr. Wendy Williamson

Second Advisor

Dr. Price Blair

Third Advisor

Dr. Allison B. Jablonski

Abstract

This research examines the relationship between heart rate and performance outcomes in competitive DIII field hockey match play. In particular, the research examines the players of the Lynchburg Field Hockey Team, with a focus on player errors. Real-time heart rate data were collected using Beyond PulseTM monitors and synchronized with game footage from the SpiideoTM platform. Player errors were then identified using Spiideo’sTM AI software, and the corresponding heart rate values were recorded, spanning from 3 seconds before and 3 seconds after the player error occurred. The maximum heart rate for each player was also calculated using the equation: HRmax = 208.5 - (0.8* age). A mixed linear effect model was created to evaluate whether there was a significant difference in players' heart rate between the pre- and post-error periods. There was not a significant difference between pre and post error heart rate (β = -0.49, SE = 0.73, t(3336.01) = -0.67, p = .504). A t-test was also performed using each player's average heart rate during mistakes versus over 85% of their maximum heart rate. A significant difference was observed in 4 of the 8 players. By identifying whether a relationship exists between heart rate and on-field mistakes, this research could provide valuable insights into athlete performance management, stress regulation, and in-game decision-making.

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