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Noise detection in smartphone phonocardiogram
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017This paper presents a demo proposal of a standalone smartphone application that can automatically analyse the signal quality of PCG, as it is recorded on a low-cost smartphonebased digital stethoscope. Features, related to the inherent pattern of the autocorrelated signal envelope, have been used for classifying and discarding the noisy portions from a
Deepan Das +7 more
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AUTOMATIC ANALYSIS OF PHONOCARDIOGRAMS*
Annals of the New York Academy of Sciences, 1964A, TARANTA +4 more
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The Phonocardiogram in Systemic Hypertension
Chest, 1970A A, Luisada, B, Argano
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Cardi-Net: A deep neural network for classification of cardiac disease using phonocardiogram signal
Computer Methods and Programs in Biomedicine, 2022Manoj Kaushik +2 more
exaly
Heartbeat murmurs detection in phonocardiogram recordings via transfer learning
AEJ - Alexandria Engineering Journal, 2022Ahmad Fakhri Ab Nasir +2 more
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A customized framework for coronary artery disease detection using phonocardiogram signals
Biomedical Signal Processing and Control, 2022Youhe Huang
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Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
Neurocomputing, 2020Serkan Kiranyaz +2 more
exaly