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Feature Extraction for the Cardiovascular Disease Diagnosis
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Cardiovascular disease is a serious life-threatening disease. It can occur suddenly and progresses rapidly. Finding the right disease features in the early stage is important to decrease the number of deaths and to make sure that the patient can fully recover. Though there are several methods of examination, describing heart activities in signal form is the most cost-effective way. In this case, ECG is the best choice because it can record heart activity in signal form and it is safer, faster and more convenient than other methods of examination. However, there are still problems involved in the ECG. For example, not all the ECG features are clear and easily understood. In addition, the frequency features are not present in the traditional ECG. To solve these problems, the project uses the optimized CWT algorithm to transform data from the time domain into the time-frequency domain. The result is evaluated by three data mining algorithms with different mechanisms. The evaluation proves that the features in the ECG are successfully extracted and important diagnostic information in the ECG is preserved. A user interface is designed increasing efficiency, which facilitates the implementation.

Place, publisher, year, edition, pages
2018. , p. 69
Keywords [en]
ECG, Feature Extraction, CWT, Unsupervised Learning, Clustering, User interface, Feature Visualization, ECG Disease Diagnosis.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:miun:diva-33742Local ID: DT-H16-A2-003OAI: oai:DiVA.org:miun-33742DiVA, id: diva2:1216642
Subject / course
Computer Engineering DT1
Educational program
International Master's Programme in Computer Engineering TDAAA 120 higher education credits
Supervisors
Examiners
Available from: 2018-06-12 Created: 2018-06-12 Last updated: 2018-06-12Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf