Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Institutes and Centres
  3. Insight Centre for Data Analytics
  4. Insight Research Collection
  5. Analysis of Surface Electromyography in Parkinson's Disease Using Time Frequency and Recurrence Quantification Methods
 
  • Details
Options

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

Author(s)
Flood, Matthew W.  
Lowery, Madeleine M.  
Uri
http://hdl.handle.net/10197/7826
Date Issued
2015-01-17
Date Available
2016-08-23T13:28:41Z
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
Subjects

Personal sensing

Parkinson's disease

Web versions
https://www.maynoothuniversity.ie/research/research-news-events/latest-news/bioengineering-conference-carton-house-maynooth
Language
English
Status of Item
Peer reviewed
Conference Details
Bioengineering in Ireland 2015 Conference, Maynooth, Ireland, 16-17 January 2015
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

insight_publication.pdf

Size

140.12 KB

Format

Adobe PDF

Checksum (MD5)

e8fab08714d0d080e1d40dbf29e7e7c3

Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement