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Real-Time Tracking of Knee Adduction Moment in Patients with Knee Osteoarthritis

Identifieur interne : 001912 ( Main/Curation ); précédent : 001911; suivant : 001913

Real-Time Tracking of Knee Adduction Moment in Patients with Knee Osteoarthritis

Auteurs : Sang Hoon Kang [États-Unis] ; Song Joo Lee [États-Unis] ; Li-Qun Zhang [États-Unis]

Source :

Journal of neuroscience methods [ 0165-0270 ] ; 2013.

RBID : PMC:4061264

Abstract

Background

The external knee adduction moment (EKAM) is closely associated with the presence, progression, and severity of knee osteoarthritis (OA). However, there is a lack of convenient and practical method to estimate and track in real-time the EKAM of patients with knee OA for clinical evaluation and gait training, especially outside of gait laboratories.

New Method

A real-time EKAM estimation method was developed and applied to track and investigate the EKAM and other knee moments during stepping on an elliptical trainer in both healthy subjects and a patient with knee OA.

Results

Substantial changes were observed in the EKAM and other knee moments during stepping in the patient with knee OA.

<italic>Comparison with Existing Method</italic>(<italic>s</italic>)

This is the first study to develop and test feasibility of real-time tracking method of the EKAM on patients with knee OA using 3-D inverse dynamics.

Conclusions

The study provides us an accurate and practical method to evaluate in real-time the critical EKAM associated with knee OA, which is expected to help us to diagnose and evaluate patients with knee OA and provide the patients with real-time EKAM feedback rehabilitation training.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061264

DOI: 10.1016/j.jneumeth.2013.12.001
PubMed: 24361759
PubMed Central: 4061264

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PMC:4061264

Le document en format XML

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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title>
<p id="P2">The external knee adduction moment (EKAM) is closely associated with the presence, progression, and severity of knee osteoarthritis (OA). However, there is a lack of convenient and practical method to estimate and track in real-time the EKAM of patients with knee OA for clinical evaluation and gait training, especially outside of gait laboratories.</p>
</sec>
<sec id="S2"><title>New Method</title>
<p id="P3">A real-time EKAM estimation method was developed and applied to track and investigate the EKAM and other knee moments during stepping on an elliptical trainer in both healthy subjects and a patient with knee OA.</p>
</sec>
<sec id="S3"><title>Results</title>
<p id="P4">Substantial changes were observed in the EKAM and other knee moments during stepping in the patient with knee OA.</p>
</sec>
<sec id="S4"><title><italic>Comparison with Existing Method</italic>
(<italic>s</italic>
)</title>
<p id="P5">This is the first study to develop and test feasibility of real-time tracking method of the EKAM on patients with knee OA using 3-D inverse dynamics.</p>
</sec>
<sec id="S5"><title>Conclusions</title>
<p id="P6">The study provides us an accurate and practical method to evaluate in real-time the critical EKAM associated with knee OA, which is expected to help us to diagnose and evaluate patients with knee OA and provide the patients with real-time EKAM feedback rehabilitation training.</p>
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Real-Time Tracking of Knee Adduction Moment in Patients with Knee Osteoarthritis

Real-Time Tracking of Knee Adduction Moment in Patients with Knee Osteoarthritis

Source :

Abstract

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Le document en format XML

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