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Analysis of Interrelationships among Voluntary and Prosthetic Leg Joint Parameters Using Cyclograms

Overview of attention for article published in Frontiers in Neuroscience, April 2017
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Title
Analysis of Interrelationships among Voluntary and Prosthetic Leg Joint Parameters Using Cyclograms
Published in
Frontiers in Neuroscience, April 2017
DOI 10.3389/fnins.2017.00230
Pubmed ID
Authors

Farahiyah Jasni, Nur Azah Hamzaid, Nor Elleeiana Mohd Syah, Tze Y. Chung, Noor Azuan Abu Osman

Abstract

The walking mechanism of a prosthetic leg user is a tightly coordinated movement of several joints and limb segments. The interaction among the voluntary and mechanical joints and segments requires particular biomechanical insight. This study aims to analyze the inter-relationship between amputees' voluntary and mechanical coupled leg joints variables using cyclograms. From this analysis, the critical gait parameters in each gait phase were determined and analyzed if they contribute to a better powered prosthetic knee control design. To develop the cyclogram model, 20 healthy able-bodied subjects and 25 prosthesis and orthosis users (10 transtibial amputees, 5 transfemoral amputees, and 10 different pathological profiles of orthosis users) walked at their comfortable speed in a 3D motion analysis lab setting. The gait parameters (i.e., angle, moment and power for the ankle, knee and hip joints) were coupled to form 36 cyclograms relationship. The model was validated by quantifying the gait disparities of all the pathological walking by analyzing each cyclograms pairs using feed-forward neural network with backpropagation. Subsequently, the cyclogram pairs that contributed to the highest gait disparity of each gait phase were manipulated by replacing it with normal values and re-analyzed. The manipulated cyclograms relationship that showed highest improvement in terms of gait disparity calculation suggested that they are the most dominant parameters in powered-knee control. In case of transfemoral amputee walking, it was identified using this approach that at each gait sub-phase, the knee variables most responsible for closest to normal walking were: knee power during loading response and mid-stance, knee moment and knee angle during terminal stance phase, knee angle and knee power during pre-swing, knee angle at initial swing, and knee power at terminal swing. No variable was dominant during mid-swing phase implying natural pendulum effect of the lower limb between the initial and terminal swing phases. The outcome of this cyclogram adoption approach proposed an insight into the method of determining the causal effect of manipulating a particular joint's mechanical properties toward the joint behavior in an amputee's gait by determining the curve closeness, C, of the modified cyclogram curve to the normal conventional curve, to enable quantitative judgment of the effect of changing a particular parameter in the prosthetic leg gait.

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Mendeley readers

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Student > Postgraduate 3 8%
Other 6 16%
Unknown 11 29%
Readers by discipline Count As %
Engineering 12 32%
Medicine and Dentistry 7 18%
Sports and Recreations 2 5%
Nursing and Health Professions 2 5%
Neuroscience 1 3%
Other 0 0%
Unknown 14 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 May 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#10,138
of 11,542 outputs
Outputs of similar age
#283,228
of 323,623 outputs
Outputs of similar age from Frontiers in Neuroscience
#188
of 209 outputs
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