Monitoring Gait Complexity as an Indicator for Running-Related Injury Risk in Collegiate Cross-Country Runners: A Proof-of-Concept Study
Dynamical systems theory suggests that studying the complexity of biological signals could lead to a single gait metric that reliably predicts risk of running-related injury (RRI). The purposes of this pilot study were to examine center of mass (COM) acceleration complexity at baseline, prior to RRI...
Saved in:
Main Authors: | Allison H. Gruber (Author), James McDonnell (Author), John J. Davis (Author), Jacob E. Vollmar (Author), Jaroslaw Harezlak (Author), Max R. Paquette (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2021-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Relationship Between Sex and Injury Based on Running Mechanics of Collegiate Runners
by: Alena Naff, et al.
Published: (2021) -
Strategies for Gait Retraining in a Collegiate Runner with Transfemoral Amputation: A Case Report
by: Jillian Santer, et al.
Published: (2021) -
Performance Motion Analysis Unable to Predict Running-Related Injury in Collegiate Distance Runners
by: Melgares, Christopher, et al.
Published: (2019) -
The effect of shoe type on gait in forefoot strike runners during a 50-km run
by: Mark E. Kasmer, et al.
Published: (2014) -
Relationships between Running Biomechanics, Hip Muscle Strength, and Running-Related Injury in Female Collegiate Cross-country Runners
by: Elena N. Venable, et al.
Published: (2022)