First and Last Name/s of Presenters

Emily ArthurFollow
Ava GaulFollow
Makenzie QuickFollow

Mentor/s

David Kell, Matthew Moran

Participation Type

Poster

Abstract

Running performance is closely tied to the efficiency and mechanics of an athlete’s gait. At the Sacred Heart University Pioneer Performance Center (PPC), we utilize advanced gait analysis to help runners gain valuable insight into their biomechanics. Through comprehensive musculoskeletal testing and state-of-the-art motion capture technology, athletes are provided with actionable data that can lead to improvements in running economy, form, and injury prevention.

In this case study, data were collected using Theia"); border-bottom: 1px solid transparent; background-size: 5px; color: rgb(99, 37, 35); font-size: 24pt; font-family: Rockwell, Rockwell_EmbeddedFont, Rockwell_MSFontService, Calibri, Calibri_EmbeddedFont, Calibri_MSFontService, Rockwell_MSFontService, Calibri, sans-serif; letter-spacing: 0px; font-kerning: normal; line-height: 6px; vertical-align: 0.228611px;">Markerless Motion Capture technology during both walking and running trials. A bilateral gait report was also generated using"); border-bottom: 1px solid transparent; background-size: 5px; color: rgb(99, 37, 35); font-size: 24pt; font-family: Rockwell, Rockwell_EmbeddedFont, Rockwell_MSFontService, Calibri, Calibri_EmbeddedFont, Calibri_MSFontService, Rockwell_MSFontService, Calibri, sans-serif; letter-spacing: 0px; font-kerning: normal; line-height: 6px; vertical-align: 0.228611px;">Noraxon"); border-bottom: 1px solid transparent; background-size: 5px; color: rgb(99, 37, 35); font-size: 24pt; font-family: Rockwell, Rockwell_EmbeddedFont, Rockwell_MSFontService, Calibri, Calibri_EmbeddedFont, Calibri_MSFontService, Rockwell_MSFontService, Calibri, sans-serif; letter-spacing: 0px; font-kerning: normal; line-height: 6px; vertical-align: 0.228611px;">MyoPressure to assess plantar pressure distribution. Additional analysis focused on muscle activation patterns and strength symmetry between the left and right sides of the body to identify potential imbalances or compensatory movement patterns.

This analysis not only aids in understanding the root causes of chronic injury but also supports performance optimization by guiding individualized intervention strategies. The PPC continues to lead in applying cutting-edge technology to enhance athletic performance through data-inspired movement analysis, and by looking at the bigger picture of each athlete.

College and Major available

Exercise Science BS

Academic Level

Undergraduate student

Location

Digital Commons & West Campus West Building University Commons

Start Day/Time

4-25-2025 12:00 PM

End Day/Time

4-25-2025 2:00 PM

Students' Information

Emily Arthur, Exercise Science, Honors Student, c/o 2025

Ava Gaul, Exercise Science, Honors Student, c/o 2025

Makenzie Quick, Exercise Science, Honors student c/o 2025

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Prize Categories

Best Visuals, Most Creative

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Apr 25th, 12:00 PM Apr 25th, 2:00 PM

Case Study: Gait Analysis of a Collegiate Middle Distance Runner

Digital Commons & West Campus West Building University Commons

Running performance is closely tied to the efficiency and mechanics of an athlete’s gait. At the Sacred Heart University Pioneer Performance Center (PPC), we utilize advanced gait analysis to help runners gain valuable insight into their biomechanics. Through comprehensive musculoskeletal testing and state-of-the-art motion capture technology, athletes are provided with actionable data that can lead to improvements in running economy, form, and injury prevention.

In this case study, data were collected using Theia"); border-bottom: 1px solid transparent; background-size: 5px; color: rgb(99, 37, 35); font-size: 24pt; font-family: Rockwell, Rockwell_EmbeddedFont, Rockwell_MSFontService, Calibri, Calibri_EmbeddedFont, Calibri_MSFontService, Rockwell_MSFontService, Calibri, sans-serif; letter-spacing: 0px; font-kerning: normal; line-height: 6px; vertical-align: 0.228611px;">Markerless Motion Capture technology during both walking and running trials. A bilateral gait report was also generated using"); border-bottom: 1px solid transparent; background-size: 5px; color: rgb(99, 37, 35); font-size: 24pt; font-family: Rockwell, Rockwell_EmbeddedFont, Rockwell_MSFontService, Calibri, Calibri_EmbeddedFont, Calibri_MSFontService, Rockwell_MSFontService, Calibri, sans-serif; letter-spacing: 0px; font-kerning: normal; line-height: 6px; vertical-align: 0.228611px;">Noraxon"); border-bottom: 1px solid transparent; background-size: 5px; color: rgb(99, 37, 35); font-size: 24pt; font-family: Rockwell, Rockwell_EmbeddedFont, Rockwell_MSFontService, Calibri, Calibri_EmbeddedFont, Calibri_MSFontService, Rockwell_MSFontService, Calibri, sans-serif; letter-spacing: 0px; font-kerning: normal; line-height: 6px; vertical-align: 0.228611px;">MyoPressure to assess plantar pressure distribution. Additional analysis focused on muscle activation patterns and strength symmetry between the left and right sides of the body to identify potential imbalances or compensatory movement patterns.

This analysis not only aids in understanding the root causes of chronic injury but also supports performance optimization by guiding individualized intervention strategies. The PPC continues to lead in applying cutting-edge technology to enhance athletic performance through data-inspired movement analysis, and by looking at the bigger picture of each athlete.

 

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