Hybrid Sneaky algorithm-based deep neural networks for Heart sound classification using phonocardiogram-Reference-Cited by-同舟云学术

Hybrid Sneaky algorithm-based deep neural networks for Heart sound classification using phonocardiogram

Published:2023-11-28 Issue: Volume: Page:1-26
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Shastri Rajveer K.¹,Shastri Aparna R¹,Nitnaware Prashant P²³,Padulkar Digambar M⁴

Affiliation:

1. Electronics and Telecommunication, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Maharashtra, India

2. Computer Engineering, Pillai College of Engineering, Mumbai, India

3. Computer Engineering, Pillai College of Engineering (PCE), Navi Mumbai, Maharashtra, India

4. Computer Engineering, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering & Technology, Baramati, Maharashtra, India

Funder

there is no funding associated with the work

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2023.2270040

Reference37 articles.

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2. Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals

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4. Rider deep LSTM network for hybrid Distance score-based fault prediction in analog circuits;Binu D;IEEE Trans Ind Electron,2020

5. A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection