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Signal Processing and pattern recognition algorithm for monitoring Parkinson’s disease.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2006 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

This masters thesis describes the development of signal processing and pattern recognition in monitoring Parkison’s disease. It involves the development of a signal process algorithm and passing it into a pattern recogniton algorithm also. These algorithms are used to determine , predict and make a conclusion on the study of parkison’s disease. We get to understand the nature of how the parkinson’s disease is in humans.

Place, publisher, year, edition, pages
Borlänge, 2006. , 79 p.
Keyword [en]
Signal Processing, Pattern recognition
Identifiers
URN: urn:nbn:se:du-2376OAI: oai:dalea.du.se:2376DiVA: diva2:518119
Uppsok
Technology
Supervisors
Available from: 2006-10-30 Created: 2006-10-30 Last updated: 2012-04-24Bibliographically approved

Open Access in DiVA

fulltext(898 kB)411 downloads
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File name FULLTEXT01.pdfFile size 898 kBChecksum SHA-512
36feba582d210fa8b349f1362d969b08fa0a999ff87c77dd1dc84c91c263bc8634a0be64d495ae7929f2b7620a8791075702f1eaf48e9106a34a2d0e593bfa39
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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