Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning

Cardiovascular diseases (CVDs) are the main cause of deaths all over the world. Heart murmurs are the most common abnormalities detected during the auscultation process. The two widely used publicly available phonocardiogram (PCG) datasets are from the PhysioNet/CinC (2016) and PASCAL (2011) challen...

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Veröffentlicht in:	arXiv.org 2021-04
Hauptverfasser:	Kaleem Nawaz Khan, Faiq Ahmad Khan, Abid, Anam, Olmez, Tamer, Dokur, Zumray, Khandakar, Amith, Chowdhury, Muhammad E H, Khan, Muhammad Salman
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Accuracy Artificial neural networks Classification Datasets Deep learning Fourier transforms Phonocardiography Protocol (computers) Sensitivity Signal processing Spectrograms
Online-Zugang:	Volltext
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