<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hedjazi Naceur</style></author><author><style face="normal" font="default" size="100%">Benali Abderraouf</style></author><author><style face="normal" font="default" size="100%">Bouzit Mourad</style></author><author><style face="normal" font="default" size="100%">Dibi Zohir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations, ISSN / e-ISSN 1746-8094 / 1746-8108</style></title><secondary-title><style face="normal" font="default" size="100%">Biomedical Signal Processing and Control</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/abs/pii/S1746809418300466</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 43</style></volume><pages><style face="normal" font="default" size="100%">pp 75-85</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, different techniques of analysis have been used to study the effects of perturbations generated from a&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/robotics&quot; title=&quot;Learn more about Robotics from ScienceDirect's AI-generated Topic Pages&quot;&gt;robotic&lt;/a&gt;&amp;nbsp;mobile platform called Isiskate. These disturbances were applied on two categories of people: post-CVA subjects suffering from cerebrovascular accident and healthy individuals. Our aim is to analyze some assessment tools to distinguish between different postural behaviors. In relevant works, very few studies have addressed the use of nonlinear time-series methods in diagnosis of post-CVA pathological postural behavior. Furthermore, our tools are based on parametric and non-parametric identification procedures, that can yield to an insight on how to improve the examination time. As part of our analysis, the tests were established with several levels of&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/sinusoidal-vibration&quot; title=&quot;Learn more about Sinusoidal Vibration from ScienceDirect's AI-generated Topic Pages&quot;&gt;sinusoidal vibrations&lt;/a&gt;, along the anterior–posterior (A/P) and medial–lateral (M/L) planes. The mobile platform allowed us to record a set of coordinates that includes center of pressure (COP) as a function of time. First, we have quantified some&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/computer-science/linear-parameter&quot; title=&quot;Learn more about Linear Parameter from ScienceDirect's AI-generated Topic Pages&quot;&gt;linear parameters&lt;/a&gt;&amp;nbsp;and&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/spectral-characteristic&quot; title=&quot;Learn more about Spectral Characteristic from ScienceDirect's AI-generated Topic Pages&quot;&gt;spectral characteristics&lt;/a&gt;&amp;nbsp;using&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/power-spectral-density&quot; title=&quot;Learn more about Power Spectral Density from ScienceDirect's AI-generated Topic Pages&quot;&gt;power spectral density&lt;/a&gt;&amp;nbsp;(PSD). Thereafter, we have deduced&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/stochastic-parameter&quot; title=&quot;Learn more about Stochastic Parameter from ScienceDirect's AI-generated Topic Pages&quot;&gt;stochastic parameters&lt;/a&gt;&amp;nbsp;using stabilogram diffusion analysis (SDA), which revealed some interesting invariants. Then transfer functions between the platform velocity and COP trajectory were evaluated. They were carried out at frequencies from 0.1 Hz to 3.3 Hz. Furthermore, we accomplished a comparison of models based on both parametric and nonparametric identification methods. The combination of the proposed techniques has provided us an understanding of human control process by establishing a behavior model and helped us to distinguish patients with postural disorders. This improves postural analysis and facilitates the diagnosis of pathologies related to equilibrium which serves in rehabilitation.</style></abstract></record></records></xml>