Effective features in the diagnosis of cardiovascular diseases through phonocardiogram
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Effective features in the diagnosis of cardiovascular diseases through phonocardiogram
Authors
Keywords
-
Journal
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-04-25
DOI
10.1007/s11045-023-00876-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
- (2021) Mohanad Alkhodari et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features
- (2021) Er Mehmet Bilal APPLIED ACOUSTICS
- Automatic heart sound classification from segmented/unsegmented phonocardiogram signals using time and frequency features
- (2020) Faiq Ahmad Khan et al. PHYSIOLOGICAL MEASUREMENT
- Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network
- (2020) Yongchao Chen et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Applying an ensemble convolutional neural network with Savitzky–Golay filter to construct a phonocardiogram prediction model
- (2019) Jimmy Ming-Tai Wu et al. APPLIED SOFT COMPUTING
- Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption
- (2019) Bin Xiao et al. NEUROCOMPUTING
- CLASSIFICATION OF UNSEGMENTED HEART SOUND RECORDING USING KNN CLASSIFIER
- (2019) SINAM AJITKUMAR SINGH et al. Journal of Mechanics in Medicine and Biology
- World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions
- (2019) Stephen Kaptoge et al. Lancet Global Health
- Classification of heart sound signal using curve fitting and fractal dimension
- (2018) Maryam Hamidi et al. Biomedical Signal Processing and Control
- Classification of Heart Sound Signal Using Multiple Features
- (2018) Yaseen et al. Applied Sciences-Basel
- HEART SOUND CLASSIFICATION AND RECOGNITION BASED ON EEMD AND CORRELATION DIMENSION
- (2014) WENYING ZHANG et al. Journal of Mechanics in Medicine and Biology
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- Segmentation-based heart sound feature extraction combined with classifier models for a VSD diagnosis system
- (2013) Shuping Sun et al. EXPERT SYSTEMS WITH APPLICATIONS
- DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms
- (2013) Vangelis Metsis et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Hidden Markov model-based classification of heart valve disease with PCA for dimension reduction
- (2012) Rıdvan Saraçoğlu ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A Biomedical System Based on Artificial Neural Network and Principal Component Analysis for Diagnosis of the Heart Valve Diseases
- (2010) Harun Uğuz JOURNAL OF MEDICAL SYSTEMS
- Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique
- (2009) Samjin Choi et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Feature determination for heart sounds based on divergence analysis
- (2008) Zümray Dokur et al. DIGITAL SIGNAL PROCESSING
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now