Please use this identifier to cite or link to this item: http://103.99.128.19:8080/xmlui/handle/123456789/323
Title: Quantitative Deviation of Spatial Parameters of Gait in Parkinson’s Disease
Other Titles: International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET-2019)
WiSPNET-2019
Authors: Dewanjee, Adharaa Neelim
Hossain, Quazi Delwar
Muhury, Anik
Keywords: Parkinson’s Disease
Gait Analysis
Stride Length
Step Length
Median Filter
Issue Date: 21-Mar-2019
Publisher: SSN College of Engineering, Department of Electronics and Communication Engineering, IEEE
Series/Report no.: ;117
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
URI: http://103.99.128.19:8080/xmlui/handle/123456789/323
ISBN: 978-1-5386-9279-0
Appears in Collections:proceedings in EEE

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