Paper Info
Title
A Cluster-Based Model Using Functional Methods Requires Less Operator Experience For Reliable Gait Analysis: A Preliminary Study Of Intra- And Inter-Assessor Reliability
Abstract
Reliability of three-dimensional gait analysis is important for repetitive assessments in clinical or research studies. In this paper, we hypothesized that a Strathclyde Functional Cluster Model (SFCM) in which all the joint centers and flexion axes were determined by functional methods, could improve the reliability of joint kinematics within and between operators' sessions compared to an anatomical model, Plug-in Gait (PiG). A preliminary study of intra- and inter-assessor reliability of the SFCM was been analyzed and compared to the PiG. One able-bodied participant performed eight sessions measured by four operators who have different experience level on the two models. Intra- and inter-operator reliability of the SFCM and PiG were assessed using the intraclass correlation coefficient (ICC) and standard deviation (SD). Results showed that the SFCM generated smaller SD and greater ICC values for all joint variables compared to the PiG in the inter-operator condition, suggesting that functional methods could improve the inter-operator reliability. Moreover, the intra-operator ICC results indicated that the SFCM performance was less influenced by operator experience compared to the PiG. In conclusion, as the model requires less palpation of ALs, it would benefit the users who have less experience in practical use.
Year
DOI
Venue
2020
10.1109/EMBC44109.2020.9176611
42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20
Keywords
DocType
Volume
gait, functional method, reliability, kinematics, motion analysis
Conference
2020
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Lin Meng112.38
Lindsay Millar200.34
Craig Child300.34
Arjan Buis431.43