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Characteristics of Phonocardiography Waveforms that Influence Automatic Feature Recognition
2016
2016 Computing in Cardiology Conference (CinC)
unpublished
Newcastle University ePrints -eprint.ncl.ac.uk Stainton S, Tsimenidis C, Murray A. Characteristics of phonocardiography waveforms that influence automatic feature recognition. In: Computing in Cardiology. Abstract Phonocardiography is a very common diagnostic test, especially for the study of heart valve function. However, this test is still almost entirely manual using a stethoscope because of the difficulties in analysing waveforms with excessive acoustic noise, and with subtle clinical
doi:10.22489/cinc.2016.341-244
fatcat:o65zs3hx2fhcbl5i3vitzvdt7u