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 |