Asset Details
Do you wish to reserve the book?
Reliability of the Frontal Plane Knee Alignment Measurement Based on a Remote Protocol
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Reliability of the Frontal Plane Knee Alignment Measurement Based on a Remote Protocol
Do you wish to request the book?
Reliability of the Frontal Plane Knee Alignment Measurement Based on a Remote Protocol
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Reliability of the Frontal Plane Knee Alignment Measurement Based on a Remote Protocol
2022
Overview
Introduction: The analysis of movement quality is important for better exercise prescription. This study tested the reproducibility of a protocol for remote assessment of dynamic knee alignment using images taken by patients. Methods: Thirteen women filmed themselves performing single-leg squats on two days at a 15-day interval. Three raters measured the knee frontal plane projection angle using the resultant images. Results: Two participants (15.4%) were excluded for not performing the protocol correctly. The intraclass correlation coefficient was between 0.880 and 0.999 for the intra-rater comparison, and between 0.817 and 0.987 for the inter-rater comparison. Discussion: The success of the protocol in 84.6% of participants and the excellent reproducibility suggest that the methodology of analyzing patient-captured cell phone images might be a plausible alternative for remote evaluation of dynamic knee alignment.
Publisher
Hawaii Pacific University Library
Subject
