Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Circuits and Systems

ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org

Citations h5-index & Ranking*

Journals Menu

"Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis"
written by Mohammed Nabih-Ali, El-Sayed A. El-Dahshan, Ashraf S. Yahia,
published by Circuits and Systems, Vol.8 No.7, 2017

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	The Export Operation Mode and Optimization Strategy of Crossborder e-Commerce Enterprises Integrating Data Mining Algorithms
	Wireless Communications and Mobile Computing, 2022

[2]	Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication
	Computational Intelligence and Neuroscience, 2022

[3]	Hierarchical fusion in feature and decision space for detection of valvular heart disease using PCG signal
	International Journal of …, 2022

[4]	Optimal Design of Computer Network Reliability based on PSO-Fcm Intelligent Algorithm
	2022 IEEE 2nd International Conference on Electronic …, 2022

[5]	FPGA Implementation of Low Power Pre-processor Design for Biomedical Signal Processing Application
	… and Experimental Methods in Mechanical Engineering …, 2022

[6]	Classification of heart sounds associated with murmur for diagnosis of cardiac valve disorders
	2021

[7]	Discrimination between patients with CVDs and healthy people by voiceprint using the MFCC and Pitch
	…, 2021

[8]	Classification of cardiovascular diseases using dysphonia measurement in speech
	2021

[9]	طبقه‌بندی صداهای طبیعی و غیرطبیعی ضبط‌شده قلب با استفاده از آنالیز زمان-فرکانس سیگنال‌های ‌PCG‎
	2020

[10]	Redes Neuronais Pré-Treinadas na Classificação Automática de Sons Cardíacos
	2020

[11]	Classification and evaluation of the severity of tricuspid regurgitation using phonocardiogram
	2020

[12]	Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network
	2020

[13]	Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals
	2020

[14]	Classification of heart sound short records using bispectrum analysis approach images and deep learning
	2020

[15]	Mobile Solution for Early Detection of Heart Diseases using Artificial Intelligence and Novel Digital Stethoscope
	2020

[16]	An Efficient Computational Approach for Phonocardiogram Signals Analysis and Normal/Abnormal heart sounds diagnosis
	2020

[17]	Análise de som cardíaco pediátrico para identificação de sopro
	2020

[18]	Sheet-type Device for Unconstrained Heart Sound Measurement and White Noise Reduction by Wiener Filter
	2020

[19]	Classification of Normal/Abnormal Heart Sound Recordings Using Time–Frequency PCG Signal Analysis
	2020

[20]	A Low Power Wearable ECG Module for Heart Rate Variability Classification System
	2020

[21]	Automatic Phonocardiography Analysis using Multi-Resolution Analysis Algorithm Based on Discrete Wavelet Transform
	2019

[22]	Construction of Fuzzy System for Classification of Heart Disease Based on Phonocardiogram Signal
	2019

[23]	HOFSTEDE'NİN KÜLTÜR BOYUTLARININ KARADENİZ BÖLGESİ TURİZM ÇALIŞANLARI ÜZERİNDE İNCELENMESİ1
	2019

[24]	Localization and classification of heart beats in phonocardiography signals—A comprehensive review
	2018

[25]	Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things
	Journal of Medical Systems, 2018

[26]	Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge
	Signal, Image and Video Processing, 2018

[27]	A Novel Design and Development of Condenser Microphone Based Stethoscope to Analyze Phonocardiogram Spectrum Using Audacity
	2018

[28]	АВТОМАТИЗИРОВАННАЯ КЛАССИФИКАЦИЯ ФОНОКАРДИОГРАММ С ИСПОЛЬЗОВАНИЕМ ВЕЙВЛЕТ-ПРЕОБРАЗОВАНИЯ
	2018

[29]	АВТОМАТИЗИРОВАННАЯ КЛАССИФИКАЦИЯ ФОНОКАРДИОГРАММ С ИСПОЛЬЗОВАНИЕМ ВЕЙВЛЕТ ПРЕОБРАЗОВАНИЯ
	… , медицинские, экологические системы и …, 2018

[30]	Performance Analysis Of Dwt Based Denoising Of Vibration Signals: A Case Study Of Heart Sound Signals


[31]	INVESTIGATION OF HEART ABNORMALITIES USING PHONOCARDIOGRAM SIGNAL


[32]	Tek bir zamanla-değişen spektral nitelik kullanılarak kalp seslerinin hastalık tanısı amaçlı sınıflandırılması

[1]	Abnormal Heart Sound Detection using Time-Frequency Analysis and Machine Learning Techniques Biomedical Signal Processing and Control, 2024 DOI:10.1016/j.bspc.2023.105899

[2]	Automated Detection of Heart Murmurs From the PCG Signal Using Stationary Wavelet Transform 2022 IEEE 19th India Council International Conference (INDICON), 2022 DOI:10.1109/INDICON56171.2022.10039806

[3]	Automated Detection of Heart Murmurs From the PCG Signal Using Stationary Wavelet Transform 2022 IEEE 19th India Council International Conference (INDICON), 2022 DOI:10.1109/INDICON56171.2022.10039806

[4]	Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication Computational Intelligence and Neuroscience, 2022 DOI:10.1155/2022/4855254

[5]	The Export Operation Mode and Optimization Strategy of Crossborder e-Commerce Enterprises Integrating Data Mining Algorithms Wireless Communications and Mobile Computing, 2022 DOI:10.1155/2022/6231249

[6]	Computational and Experimental Methods in Mechanical Engineering Smart Innovation, Systems and Technologies, 2022 DOI:10.1007/978-981-16-2857-3_48

[7]	Automated System for Features Extraction From PCG Signal 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021 DOI:10.1109/ICCMC51019.2021.9418229

[8]	Severity cardiac analysis using the Higher-order spectra Applied Mathematics and Computation, 2021 DOI:10.1016/j.amc.2021.126389

[9]	Severity cardiac analysis using the Higher-order spectra Applied Mathematics and Computation, 2021 DOI:10.1016/j.amc.2021.126389

[10]	Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network Computer Communications, 2020 DOI:10.1016/j.comcom.2020.08.011

[11]	Classification of heart sound short records using bispectrum analysis approach images and deep learning Network Modeling Analysis in Health Informatics and Bioinformatics, 2020 DOI:10.1007/s13721-020-00272-5

[12]	Classification and evaluation of the severity of tricuspid regurgitation using phonocardiogram Biomedical Signal Processing and Control, 2020 DOI:10.1016/j.bspc.2019.101688

[13]	Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3020806

[14]	Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge Signal, Image and Video Processing, 2018 DOI:10.1007/s11760-018-1261-5

[15]	Localization and classification of heart beats in phonocardiography signals —a comprehensive review EURASIP Journal on Advances in Signal Processing, 2018 DOI:10.1186/s13634-018-0545-9

[16]	Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things Journal of Medical Systems, 2018 DOI:10.1007/s10916-018-1107-2

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Circuits and Systems

Circuits and Systems

Journals Menu

Home

About SCIRP

Service

Policies