Analysis of Surface Electromyography in Parkinson's Disease Using Time Frequency and Recurrence Quantification Methods
|Title:||Analysis of Surface Electromyography in Parkinson's Disease Using Time Frequency and Recurrence Quantification Methods||Authors:||Flood, Matthew
Lowery, Madeleine M.
|Permanent link:||http://hdl.handle.net/10197/7826||Date:||17-Jan-2015||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Keywords:||Personal sensing;Parkinson's disease||Language:||en||Status of Item:||Peer reviewed||Conference Details:||Bioengineering in Ireland 2015 Conference, Maynooth, Ireland, 16-17 January 2015|
|Appears in Collections:||Insight Research Collection|
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