Analysis of Surface Electromyography in Parkinson's Disease Using Time Frequency and Recurrence Quantification Methods

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Author(s)
Uri
Date Issued
17 January 2015
Date Available
23T13:28:41Z August 2016
Abstract
The work presented here aims to establish the optimal RQA variables for the calculation of RQA parameters (REC, DET, JRP, etc.), and to apply these parameters to EMG data of Parkinson’s disease patients. Additionally, the cross-correlation of these parameters with time frequency features will be assessed with the intention of classifying Parkinson’s patients from healthy controls.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Keywords
Web versions
Language
English
Status of Item
Peer reviewed
Description
Bioengineering in Ireland 2015 Conference, Maynooth, Ireland, 16-17 January 2015
This item is made available under a Creative Commons License
Owning collection
Insight Research Collection