scholarly journals Influence of Age on Patellar Tendon Reflex Response

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e80799 ◽  
Author(s):  
Annapoorna Chandrasekhar ◽  
Noor Azuan Abu Osman ◽  
Lai Kuan Tham ◽  
Kheng Seang Lim ◽  
Wan Abu Bakar Wan Abas
Keyword(s):  
Patellar Tendon ◽  
Reflex Response ◽  
Tendon Reflex ◽  
Patellar Tendon Reflex

scholarly journals Motion Analysis of Normal Patellar Tendon Reflex

2013 ◽  
Vol 40 (6) ◽  
pp. 836-841 ◽  
Author(s):  
Lai Kuan Tham ◽  
Noor Azuan Abu Osman ◽  
Wan Abu Bakar Wan Abas ◽  
Kheng Seang Lim
Keyword(s):  
Motion Analysis ◽  
Patellar Tendon ◽  
Essential Element ◽  
Qualitative Description ◽  
Reflex Response ◽  
Healthy Population ◽  
Reflex Amplitude ◽  
Tendon Reflex ◽  
Patellar Tendon Reflex ◽  
Input Strength

Background:Reflex assessment, an essential element in the investigation of the motor system, is currently assessed through qualitative description, which lacks of normal values in the healthy population. This study quantified the amplitude and latency of patellar tendon reflex in normal subjects using motion analysis to determine the factors affecting the reflex amplitude.Methods:100 healthy volunteers were recruited for patellar tendon reflex assessments which were recorded using a motion analysis system. Different levels of input strength were exerted during the experiments.Results:A linear relationship was found between reflex input and reflex amplitude (r = 0.50, P <0.001). The left knee was found to exhibit 26.3% higher reflex amplitude than the right (P <0.001). The Jendrassik manoeuvre significantly increased reflex amplitude by 34.3% (P = 0.001); the effect was especially prominent in subjects with weak reflex response. Reflex latency normality data were established, which showed a gradual reduction with increasing input strength.Conclusion:The quantitative normality data and findings showed that the present method has great potential to objectively quantify deep tendon reflexes.

Conditioned Patellar Tendon Reflex Function in Children with and Without Developmental Coordination Disorders

1995 ◽  
Vol 12 (3) ◽  
pp. 250-261 ◽  
Author(s):  
Harriet G. Williams ◽  
Jeanmarie R. Burke
Keyword(s):  
Patellar Tendon ◽  
Developmental Coordination Disorder ◽  
Reflex Response ◽  
Motoneuron Pool ◽  
Coordination Disorders ◽  
Tendon Reflex ◽  
Patellar Tendon Reflex ◽  
Coordination Disorder ◽  
Developmental Coordination Disorders

A conditioned patellar tendon reflex paradigm was used to study the contributions of crossed spinal and supraspinal inputs to the output of the alpha motoneuron pool in children with and without developmental coordination disorders. The basic patellar tendon reflex response was exaggerated in children with developmental coordination disorders. Crossed spinal and supraspinal influences on the excitability of the alpha motoneuron pool were similar in both groups of children. However, there was evidence of exaggerated crossed spinal and supraspinal inputs onto the alpha motoneuron pool in individual children with developmental coordination disorder.

IMPLEMENTATION OF A SMARTPHONE WIRELESS GYROSCOPE PLATFORM WITH MACHINE LEARNING FOR CLASSIFYING DISPARITY OF A HEMIPLEGIC PATELLAR TENDON REFLEX PAIR

2017 ◽  
Vol 17 (06) ◽  
pp. 1750083 ◽  
Author(s):  
ROBERT LEMOYNE ◽  
TIMOTHY MASTROIANNI
Keyword(s):  
Machine Learning ◽  
Patellar Tendon ◽  
Angular Rate ◽  
Nearest Neighbors ◽  
Reflex Response ◽  
Ordinal Scale ◽  
Support Vector ◽  
K Nearest Neighbors ◽  
Tendon Reflex ◽  
Patellar Tendon Reflex

The patellar tendon reflex response provides fundamental means of assessing a subject’s neurological health. Dysfunction regarding the characteristics of the reflex response may warrant the escalation to more advanced diagnostic techniques. Current strategies involve the manual elicitation of the patellar tendon reflex by a highly skilled clinician with subsequent interpretation according to an ordinal scale. The reliability of the ordinal scale approach is a topic of contention. Highly skilled clinicians have been in disagreement regarding even the observation of asymmetric reflex pairs. An alternative strategy incorporated the ubiquitous smartphone with a software application to function as a wireless gyroscope platform for quantifying the reflex response. Each gyroscope signal recording of the reflex response can be conveyed wirelessly through Internet connectivity as an email attachment. The reflex response is evoked through a potential energy impact pendulum that enables prescribed targeting and potential energy level. The smartphone functioning as a wireless gyroscope platform reveals an observationally representative gyroscope signal of the reflex response. Three notably distinguishable attributes of the reflex response are incorporated into a feature set for machine learning: maximum angular rate of rotation, minimum angular rate of rotation, and time disparity between maximum and minimum angular rate of rotation. Four machine learning platforms such as the J48 decision tree, K-nearest neighbors, logistic regression, and support vector machine, were applied to the patellar tendon reflex response feature set incorporating a hemiplegic patellar tendon reflex pair. The J48 decision tree attained 98% classification accuracy, and the K-nearest neighbors, logistic regression, and support vector machine achieved perfect classification accuracy for distinguishing between a hemiplegic affected leg and unaffected leg patellar tendon reflex pair. The research findings reveal the potential of machine learning for enabling advanced diagnostic acuity respective of the gyroscope signal of the patellar tendon reflex response.

TENDON REFLEX AND STRATEGIES FOR QUANTIFICATION, WITH NOVEL METHODS INCORPORATING WIRELESS ACCELEROMETER REFLEX QUANTIFICATION DEVICES, A PERSPECTIVE REVIEW

2011 ◽  
Vol 11 (03) ◽  
pp. 471-513 ◽  
Author(s):  
ROBERT LEMOYNE ◽  
TIMOTHY MASTROIANNI ◽  
CRISTIAN COROIAN ◽  
WARREN GRUNDFEST
Keyword(s):  
Longitudinal Study ◽  
Patellar Tendon ◽  
Neurological Examination ◽  
Deep Tendon Reflex ◽  
Reflex Response ◽  
Fundamental Aspect ◽  
Tendon Reflex ◽  
Reflex System ◽  
Wireless Accelerometer ◽  
Tendon Reflexes

The deep tendon reflex is a fundamental aspect of a neurological examination. The two major parameters of the tendon reflex are response and latency, which are presently evaluated qualitatively during a neurological examination. The reflex loop is capable of providing insight into the status and therapy response of both upper and lower motor neuron syndromes. Attempts have been made to ascertain reflex response and latency; however, these systems are relatively complex, resource intensive, with issues of consistent and reliable accuracy. The solution presented is a wireless quantified reflex device using tandem three-dimensional (3D) wireless accelerometers to obtain response based on acceleration waveform amplitude and latency derived from temporal acceleration waveform disparity. Three specific aims have been established for the proposed wireless quantified reflex device: (1) Demonstrate the wireless quantified reflex device is reliably capable of ascertaining quantified reflex response and latency using a quantified input. (2) Evaluate the precision of the device using an artificial reflex system. (3) Conduct a longitudinal study respective of subjects with healthy patellar tendon reflexes, using the wireless quantified reflex evaluation device to obtain quantified reflex response and latency. Aim 1 has led to a steady evolution of the wireless quantified reflex device from a singular 2D wireless accelerometer capable of measuring reflex response to a tandem 3D wireless accelerometer capable of reliably measuring reflex response and latency. The hypothesis for aim 1 is that a reflex quantification device can be established for reliably measuring reflex response and latency for the patellar tendon reflex, comprised of an integrated system of wireless 3D MEMS accelerometers. Aim 2 further emphasized the reliability of the wireless quantified reflex device by evaluating an artificial reflex system. The hypothesis for aim 2 is that the wireless quantified reflex device can obtain reliable reflex parameters (response and latency) from an artificial reflex device. Aim 3 synthesizes the findings relevant to aim 1 and 2, while applying the wireless accelerometer reflex quantification device to a longitudinal study of healthy patellar tendon reflexes. The hypothesis for aim 3 is that during a longitudinal evaluation of the deep tendon reflex the parameters for reflex response and latency can be measured with a considerable degree of accuracy, reliability, and reproducibility. Enclosed is a detailed description of a wireless quantified reflex device with research findings and potential utility of the system, inclusive of a comprehensive description of tendon reflexes, prior reflex quantification systems, and correlated applications.

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