AbstractsEngineering

Possibilities for the development of a decision support system for diagnosing heart failure

by Linda Olsson




Institution: Linköping University
Department:
Year: 2007
Keywords: Heart failure; signal processing; decision support systems.; Engineering and Technology; Medical Engineering; Medical Laboratory and Measurements Technologies; Teknik och teknologier; Medicinteknik; Medicinsk laboratorie- och mätteknik; TECHNOLOGY; Other technology; Medical engineering; TEKNIKVETENSKAP; Övriga teknikvetenskaper; Medicinsk teknik; Technology; teknik; Fysiologisk mätteknik; Physiological Measurements
Record ID: 1347887
Full text PDF: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9719


Abstract

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.