InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events

In the undertaken study, we have used a customized dataset termed "Cardiac-200" and the benchmark dataset "PhysioNet." which contains 1500 heartbeat acoustic event samples (without augmentation) and 1950 samples (with augmentation) heartbeat acoustic events such as normal, murmur...

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Vydáno v:	IEEE transactions on computational social systems Ročník 11; číslo 3; s. 3060 - 3069
Hlavní autoři:	Pandya, Sharnil, Gadekallu, Thippa Reddy, Reddy, Praveen Kumar, Wang, Weizheng, Alazab, Mamoun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Acoustic classification Acoustics Artificial neural networks automated knowledge extraction Cardiac arrest cardiovascular events Cluster analysis Clustering Computer and Information Sciences Computer Science Convolutional neural networks Customization Data- och informationsvetenskap Datasets Deep learning diagnosis Fourier transforms Heart beat knowledge-infused learning framework Machine learning Monitoring Neural networks Recurrent neural networks Signal to noise ratio Stethoscope Support vector machines Texture Vector quantization
ISSN:	2329-924X, 2373-7476
On-line přístup:	Získat plný text
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