标题
Deep Learning Methods for Heart Sounds Classification: A Systematic Review
作者
关键词
-
出版物
Entropy
Volume 23, Issue 6, Pages 667
出版商
MDPI AG
发表日期
2021-05-26
DOI
10.3390/e23060667
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Robust and Real-Time Capable Envelope-Based Algorithm for Heart Sound Classification: Validation under Different Physiological Conditions
- (2020) Angelika Thalmayer et al. SENSORS
- A Review of Computer-Aided Heart Sound Detection Techniques
- (2020) Suyi Li et al. Biomed Research International
- Automatic heart sound classification from segmented/unsegmented phonocardiogram signals using time and frequency features
- (2020) Faiq Ahmad Khan et al. PHYSIOLOGICAL MEASUREMENT
- Phonocardiogram: A robust algorithm for generating synthetic signals and comparison with real life ones
- (2020) Pascalin Tiam Kapen et al. Biomedical Signal Processing and Control
- Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks
- (2020) Ahmed Imtiaz Humayun et al. IEEE Journal of Biomedical and Health Informatics
- Classification of Heart Sounds Using Convolutional Neural Network
- (2020) Fan Li et al. Applied Sciences-Basel
- Automatic Segmentation and Classification of Heart Sounds Using Modified Empirical Wavelet Transform and Power Features
- (2020) Pedro Narváez et al. Applied Sciences-Basel
- Analysis of heart sound anomalies using ensemble learning
- (2020) Mohammed Baydoun et al. Biomedical Signal Processing and Control
- Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network
- (2020) Omer Deperlioglu et al. COMPUTER COMMUNICATIONS
- Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
- (2020) Muqing Deng et al. NEURAL NETWORKS
- Synthesis of Normal Heart Sounds Using Generative Adversarial Networks and Empirical Wavelet Transform
- (2020) Pedro Narváez et al. Applied Sciences-Basel
- Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network
- (2020) Neeraj Baghel et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- 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
- Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features
- (2019) Diogo Marcelo Nogueira et al. JOURNAL OF MEDICAL SYSTEMS
- Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption
- (2019) Bin Xiao et al. NEUROCOMPUTING
- A Novel Method for Measuring the Timing of Heart Sound Components through Digital Phonocardiography
- (2019) Noemi Giordano et al. SENSORS
- Phonocardiogram Classification Using Deep Convolutional Neural Networks with Majority Vote Strategy
- (2019) Wei Chen et al. Journal of Medical Imaging and Health Informatics
- Heartbeat Sound Signal Classification Using Deep Learning
- (2019) Ali Raza et al. SENSORS
- Deep Convolutional Neural Networks for Heart Sound Segmentation
- (2019) Francesco Renna et al. IEEE Journal of Biomedical and Health Informatics
- Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers
- (2019) Zaid Abduh et al. Biomedical Signal Processing and Control
- Feature extraction and classification of heart sound using 1D convolutional neural networks
- (2019) Fen Li et al. EURASIP Journal on Advances in Signal Processing
- Follow the Sound of Children’s Heart: A Deep-Learning-Based Computer-Aided Pediatric CHDs Diagnosis System
- (2019) Bin Xiao et al. IEEE Internet of Things Journal
- A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection
- (2018) Baris Bozkurt et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors
- (2018) Juan P. Dominguez-Morales et al. IEEE Transactions on Biomedical Circuits and Systems
- Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge
- (2018) Fatima Chakir et al. Signal Image and Video Processing
- Adaptive Sojourn Time HSMM for Heart Sound Segmentation
- (2018) Jorge Henrique Oliveira et al. IEEE Journal of Biomedical and Health Informatics
- An automatic segmentation method for heart sounds
- (2018) Qingshu Liu et al. Biomedical Engineering Online
- Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection
- (2018) Siddique Latif et al. IEEE SENSORS JOURNAL
- The Diagnosis for the Extrasystole Heart Sound Signals Based on the Deep Learning
- (2018) Lili Chen et al. Journal of Medical Imaging and Health Informatics
- Classification of Heart Sound Signal Using Multiple Features
- (2018) Yaseen et al. Applied Sciences-Basel
- Multi-centroid diastolic duration distribution based HSMM for heart sound segmentation
- (2018) Alex Paul Kamson et al. Biomedical Signal Processing and Control
- S1 and S2 Heart Sound Recognition Using Deep Neural Networks
- (2017) Tien-En Chen et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network
- (2017) Arash Gharehbaghi et al. IEEE Transactions on Neural Networks and Learning Systems
- Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps
- (2016) Shi-Wen Deng et al. Future Generation Computer Systems-The International Journal of eScience
- An open access database for the evaluation of heart sound algorithms
- (2016) Chengyu Liu et al. PHYSIOLOGICAL MEASUREMENT
- Detection of features of prosthetic cardiac valve sound by spectrogram analysis
- (2015) Yoshiharu Soeta et al. APPLIED ACOUSTICS
- Logistic Regression-HSMM-based Heart Sound Segmentation
- (2015) David Springer et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Deep learning
- (2015) Yann LeCun et al. NATURE
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