Please use this identifier to cite or link to this item: http://103.99.128.19:8080/xmlui/handle/123456789/325
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dc.contributor.authorDewanjee, Adharaa Neelim-
dc.contributor.authorHossain, Quazi Delwar-
dc.contributor.authorArefin, Mohammed Shahriar-
dc.date.accessioned2021-10-27T05:27:41Z-
dc.date.available2021-10-27T05:27:41Z-
dc.date.issued2019-05-03-
dc.identifier.urihttp://103.99.128.19:8080/xmlui/handle/123456789/325-
dc.description.abstractThe biometric method which is involved with defining pattern of movement of human limbs is called Gait. Though gait has a fixed rhythmic pattern, in case of people who are affected with neurological disease such as- Parkinson's disease (PD) the gait pattern gets distorted from normal gait pattern. In this paper, temporal variables of gait cycles are analyzed to determine the deficit in the gait cycle in PD patients. Gait cycle of 10 PD patients and 10 Controlled subjects are examined in this paper. A comparative analysis was done in respect of temporal variables such as- Single Limb Support Time and Double Limb Support Time. From the examination and investigation, it is apparent that the temporal factors of the gait cycle of PD patients are sufficiently changed in regard to the controlled subjects, all the more explicitly PD patients invest more energy in the two limbs than a single limb of a gait cycle which is absolutely in switch of the controlled subject.en_US
dc.language.isoen_USen_US
dc.publisherEWUen_US
dc.subjectParkinson’s Diseaseen_US
dc.subjectGait Analysisen_US
dc.subjectTemporal Variablesen_US
dc.subjectSignal Processingen_US
dc.subjectLimb Support Timeen_US
dc.titleTemporal Variables Disorder of The Gait Cycle in Parkinson’s Diseaseen_US
dc.title.alternative1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019)en_US
dc.title.alternativeICASERT 2019en_US
dc.typeArticleen_US
Appears in Collections:proceedings in EEE

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