Examination of Heart Rate Response To Performance Errors in Competitive Division III Field Hockey

Student Author Information

Location

Sydnor Performance Hall, Schewel Hall

Access Type

Campus Access Only

Presentation Type

Oral presentation

Entry Number

62

Start Date

4-16-2026 10:00 AM

End Date

4-16-2026 10:15 AM

School

School of Liberal Arts and Sciences

Department

Biology

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 was collected using the Beyond Pulse monitors and was synchronized with game footage from the Spideo platform. Player Errors were then identified using Spideo’s AI software, and the corresponding heart rate values were recorded, spanning from 3 seconds before and 3 seconds after the player error occurred. The heart rate max of each player was also recorded using the equation: HRmax=208.5-0.8*age. 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.

Primary Faculty Mentor(s)

Dr. Wendy Williamson

Primary Faculty Mentor(s) Department

Biology

Additional Faculty Mentor(s)

Dr. Price Blair Dr. Allison Jablonski

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Apr 16th, 10:00 AM Apr 16th, 10:15 AM

Examination of Heart Rate Response To Performance Errors in Competitive Division III Field Hockey

Sydnor Performance Hall, Schewel Hall

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 was collected using the Beyond Pulse monitors and was synchronized with game footage from the Spideo platform. Player Errors were then identified using Spideo’s AI software, and the corresponding heart rate values were recorded, spanning from 3 seconds before and 3 seconds after the player error occurred. The heart rate max of each player was also recorded using the equation: HRmax=208.5-0.8*age. 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.