Literature DB >> 21146440

Investigation to predict patellar tendon reflex using motion analysis technique.

L K Tham1, N A Abu Osman, K S Lim, B Pingguan-Murphy, W A B Wan Abas, N Mohd Zain.   

Abstract

The investigation of patellar tendon reflex involves development of a reflex hammer holder, kinematic data collection and analysis of patellar reflex responses using motion analysis techniques. The main aim of this research is to explore alternative means of assessing reflexes as a part of routine clinical diagnosis. The motion analysis system was applied to provide quantitative data which is a more objective measure of the patellar tendon reflex. Kinematic data was collected from 28 males and 22 females whilst subjected to a knee jerk test. Further analysis of kinematic data was performed to predict relationships which might affect the patellar tendon reflex. All subjects were seated on a high stool with their legs hanging freely within the capture volume of the motion analysis system. Knee jerk tests were applied to all subjects, on both sides of the leg, by eliciting hypo, hyper, and normal reflexes. An additional reinforcement technique called the Jendrassik manoeuvre was also performed under the same conditions to elicit a normal patellar tendon reflex. The comparison of reflex response between genders showed that female subjects generally had a greater response compared to males. However, the difference in reflex response between the left leg and the right leg was not significant. Tapping strength to elicit a hyper-reflex produced greater knee-jerk compared to the normal clinical tapping strength. All results were in agreement with clinical findings and results found by some early researchers.
Copyright © 2010 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21146440     DOI: 10.1016/j.medengphy.2010.11.002

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  4 in total

1.  Characterisation of the patellar tendon reflex in cerebral palsy children using motion analysis.

Authors:  Rory O'Sullivan; Damien Kiernan; Michael Walsh; Tim O'Brien; Yahya Elhassan
Journal:  Ir J Med Sci       Date:  2015-10-15       Impact factor: 1.568

2.  Implementation of an iPod wireless accelerometer application using machine learning to classify disparity of hemiplegic and healthy patellar tendon reflex pair.

Authors:  Robert LeMoyne; Wesley T Kerr; Kevin Zanjani; Timothy Mastroianni
Journal:  J Med Imaging Health Inform       Date:  2014-03

3.  The validity and reliability of motion analysis in patellar tendon reflex assessment.

Authors:  Lai Kuan Tham; Noor Azuan Abu Osman; Wan Abu Bakar Wan Abas; Kheng Seang Lim
Journal:  PLoS One       Date:  2013-02-07       Impact factor: 3.240

4.  Influence of age on patellar tendon reflex response.

Authors:  Annapoorna Chandrasekhar; Noor Azuan Abu Osman; Lai Kuan Tham; Kheng Seang Lim; Wan Abu Bakar Wan Abas
Journal:  PLoS One       Date:  2013-11-18       Impact factor: 3.240

  4 in total

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