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Quantitative Deviation of Spatial Parameters of Gait in Parkinson’s Disease

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dc.contributor.author Dewanjee, Adharaa Neelim
dc.contributor.author Hossain, Quazi Delwar
dc.contributor.author Muhury, Anik
dc.date.accessioned 2021-10-25T06:30:29Z
dc.date.available 2021-10-25T06:30:29Z
dc.date.issued 2019-03-21
dc.identifier.isbn 978-1-5386-9279-0
dc.identifier.uri http://103.99.128.19:8080/xmlui/handle/123456789/323
dc.description.abstract Parkinson’s disease is a neurological disease which prevails in a patient for the long term. Losing control over the gait cycle is a common phenomenon which leads to a deviation in the gait cycle of the patient. The variation of the gait cycle can be explained in two approaches: temporal variation and spatial variation. In this paper, an analysis which exclusively focuses on the spatial variation is done to determine the gait cycle deviation of Parkinson patients from a healthy person. This work analyzes the step lengths and stride lengths of the patients without the help of any external influence and compares the results against the healthy subjects. From the study, it ends up clear that on account of a Parkinson disease, step lengths, and stride lengths both are shorter than healthy individuals and a quantitative connection between these parameters are determined here en_US
dc.description.sponsorship IEEE en_US
dc.language.iso en_US en_US
dc.publisher SSN College of Engineering, Department of Electronics and Communication Engineering, IEEE en_US
dc.relation.ispartofseries ;117
dc.subject Parkinson’s Disease en_US
dc.subject Gait Analysis en_US
dc.subject Stride Length en_US
dc.subject Step Length en_US
dc.subject Median Filter en_US
dc.title Quantitative Deviation of Spatial Parameters of Gait in Parkinson’s Disease en_US
dc.title.alternative International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET-2019) en_US
dc.title.alternative WiSPNET-2019 en_US
dc.type Article en_US


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