Possibilities for the development of a decision support system for diagnosing heart failure
Independent thesis Basic level (professional degree), 20 credits / 30 HE creditsStudent thesis
Heart failure is a common disease which is difficult to diagnose. To aid physicians in diagnosing heart failure, a decision support system has been proposed. Parameters useful to the system are suggested. Some of these, such as age and gender, should be provided by the physician, and some should be derived from electro- and phonocardiographic signals.
Various methods of signal processing, such as wavelet theory and principal components analysis, are described. Heart failure should be diagnosed based on the parameters, and so various forms of decision support systems, such as neural networks and support vector machines, are described. The methods of signal processing and classification are discussed and suggestions on how to develop the system are made.
Place, publisher, year, edition, pages
Institutionen för medicinsk teknik , 2007. , 63 p.
Heart failure, signal processing, decision support systems.
Medical Laboratory and Measurements Technologies
IdentifiersURN: urn:nbn:se:liu:diva-9719ISRN: LiTH-IMT/FMT20-EX--07/457--SEOAI: oai:DiVA.org:liu-9719DiVA: diva2:24108
Subject / course