A Framework Classification of Heart Sound Signals in PhysioNet Challenge 2016 Using High Order Statistics and Adaptive Neuro-Fuzzy Inference System-Reference-Cited by-同舟云学术

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A Framework Classification of Heart Sound Signals in PhysioNet Challenge 2016 Using High Order Statistics and Adaptive Neuro-Fuzzy Inference System

Published:2020 Issue: Volume:8 Page:224852-224859
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Naami Bassam^ORCID,Fraihat Hossam,Gharaibeh Nasr Y.,Al-Hinnawi Abdel-Razzak M.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09286432.pdf?arnumber=9286432

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era;IEEE Computational Intelligence Magazine;2024-08

2. Postural Sway Classification using Bispectrum;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

3. A robust peak detection algorithm for localization and classification of heart sounds in PCG signals;Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing;2024

4. Seasonal Forecasting of Wind and Solar Power Using Deep Learning Algorithms;2023 24th International Middle East Power System Conference (MEPCON);2023-12-19

5. Heart sound classification based on bispectrum features and Vision Transformer mode;Alexandria Engineering Journal;2023-12

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