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- W2184740534 abstract "Cardiovascular diseases areamong chronic diseases thatseriously threaten human health. Medical experts sometimes listen toheart sounds through auscultation system, either from stethoscope orPCG(phonocardiogram), asoneof thewaysindiagnosing cardiovascular diseases. The auscultation process issubjective andlargely depends ontheexperience, skill, knowledge or hearing ability ofthephysician tointerpret heart conditions. Thispaper examines heart valve-related diseases using a Multilayer Feed-forward Neural Network (MFNN). Theheart sounds weredigitally filtered with Moving Average Filter, segmented with sliding windowandthenreduced toanarbitrary frame of64points. After that, itispre-processed by FastFourier Transform prior tofeeding intothe neural network forclassification. To checkfor network robustness, theheart soundsamples were injected with different level ofnoise. A total of55 types ofsample data weregenerated andusedfor classification. Thestudy produces a 100%correct classification ofeleven heart-valve diseases." @default.
- W2184740534 created "2016-06-24" @default.
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- W2184740534 date "2005-01-01" @default.
- W2184740534 modified "2023-09-26" @default.
- W2184740534 title "Classification ofHeartSoundsUsing aMultilayer Feed-forward Neural Network" @default.
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