Validation of an electrogoniometry system as a measure of knee kinematics during activities of daily living

Urwin, Samuel, Kader, Deiary, Caplan, Nick, St Clair Gibson, Alan and Stewart, Su (2013) Validation of an electrogoniometry system as a measure of knee kinematics during activities of daily living. Journal of Musculoskeletal Research, 16 (1). ISSN 0218-9577

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Official URL: http://dx.doi.org/10.1142/S021895771350005X

Abstract

Purpose: The increasing use of electrogoniometry (ELG) in clinical research requires the validation of different instrumentation. The purpose of this investigation was to examine the concurrent validity of an ELG system during activities of daily living.

Methods: Ten asymptomatic participants gave informed consent to participate. A Biometrics SG150 electrogoniometer was directly compared to a 12 camera three dimensional motion analysis system during walking, stair ascent, stair descent, sit to stand, and stand to sit activities for the measurement of the right knee angle. Analysis of validity was undertaken by linear regression. Standard error of estimate (SEE), standardised SEE (SSEE), and Pearson’s correlation coefficient r were computed for paired trials between systems for each functional activity.

Results: The 95% confidence interval of SEE was reasonable between systems across walking (LCI = 2.43 °; UCI = 2.91 °), stair ascent (LCI = 2.09 °; UCI = 2.42 °), stair descent (LCI = 1.79 °; UCI = 2.10 °), sit to stand (LCI = 1.22 °; UCI = 1.41 °), and stand to sit (LCI = 1.17 °; UCI = 1.34 °). Pearson’s correlation coefficient r across walking (LCI = 0.983; UCI = 0.990), stair ascent (LCI = 0.995; UCI = 0.997), stair descent (LCI = 0.995; UCI = 0.997), sit to stand (LCI = 0.998; UCI = 0.999), and stand to sit (LCI = 0.996; UCI = 0.997) was indicative of a strong linear relationship between systems.

Conclusion: ELG is a valid method of measuring the knee angle during activities representative of daily living. The range is within that suggested to be acceptable for the clinical evaluation of patients with musculoskeletal conditions.

Item Type: Article
Additional Information: Article number: 135000
Uncontrolled Keywords: validation, electrogoniometry, knee.
Subjects: A100 Pre-clinical Medicine
C600 Sports Science
Department: Faculties > Health and Life Sciences > Sport, Exercise and Rehabilitation
Related URLs:
Depositing User: Dr Nick Caplan
Date Deposited: 15 Feb 2013 12:59
Last Modified: 17 Dec 2023 14:02
URI: https://nrl.northumbria.ac.uk/id/eprint/11149

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