[Phonographic diagnostic aid in heart defects using neural networks].
New approaches to pattern recognition and modeling using neural networks also provide powerful tools for the analysis of heart sounds in the diagnosis of heart failure. This paper describes how a neutral network can be used to estimate the duration of systolic and diastolic heart phases as well as to suggest a suitable diagnosis. A neural network-based auscultation system is capable of documenting and analysing a heart sound signal by applying methods similar to those used by physicians in the subjective interpretation of stethoscopic signals.
Barschdorff
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St. Vincenz Krankenhaus Paderborn, Universität-GH Paderborn, Fachgebiet Elektrische Messtechnik.
Ester
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Dorsel
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Most
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D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation; D006326:Heart Auscultation / Q000295:instrumentation*; D006349:Heart Valve Diseases / Q000175:diagnosis*; D006350:Heart Valve Prosthesis; D006801:Humans; D008838:Microcomputers; D009415:Nerve Net; D010701:Phonocardiography / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software
Phonographische Diagnosehilfe bei Herzfehlern unter Verwendung neuronaler Netze.