Publications citing Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016 v1.0.0

Detection of Murmurs from Heart Sound Recordings with Deep Residual Networks
Lei Hu, Wenjie Cai, Xinyue Li et al. Computing in cardiology, 2022. Cites: paper

Heart Murmur Detection Using Ensemble of Deep Learning Classifiers for Phonocardiograms Recorded from Multiple Auscultation Locations
Saman Parvaneh, Zaniar Ardalan, Joomyung Song et al. Computing in cardiology, 2022. Cites: paper

Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in Heart-Beat Sounds
Aristotelis Ballas, Vasileios Papapanagiotou, Anastasios N. Delopoulos et al. Computing in cardiology, 2022. Cites: paper

Multitask and Transfer Learning for Cardiac Abnormality Detection in Heart Sounds
João L. Costa, Rui André Rodrigues, Paula Couto. Computing in cardiology, 2022. Cites: paper

Multi-Task Prediction of Murmur and Outcome from Heart Sound Recordings
Yale Chang, Luoluo Liu, Corneliu Antonescu". Computing in cardiology, 2022. Cites: paper

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach
Sven Festag, Gideon Stein, Tim Büchner et al. Computing in cardiology, 2022. Cites: paper

An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning
Yunendah Nur Fuadah, Muhammad Adnan Pramudito, Ki Moo Lim. Bioengineering, 2022. Cites: paper

Arrhythmia Foetus Heartbeat Detection Using Optimized Neural Network Based on Phonocardiograph Ensemble Feature and Principal Component Analysis
International journal of intelligent engineering and systems, 2022. Cites: paper

HeartSiam: A Domain Invariant Model for Heart Sound Classification
Reza Yousefi Mashhoor, Ahmad Ayatollahi. Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2022. Cites: paper

[Heart sound classification based on improved mel frequency cepstrum coefficient and integrated decision network method].
Yuanlin Wang, Jing Xian Sun, Hongbo Yang et al. PubMed Central, 2022. Cites: paper

Heart sound classification based on improved mel-frequency spectral coefficients and deep residual learning
Feng Li, Zheng Zhang, Lingling Wang et al. Frontiers in Physiology, 2022. Cites: paper

Classification of Heart Sounds Using Chaogram Transform and Deep Convolutional Neural Network Transfer Learning
Ali Harimi, Yahya Majd, Abdorreza Alavi Gharahbagh et al. Sensors, 2022. Cites: paper

Time and Time-Frequency Features Integrated CNN Model for Heart Sound Signals Detection
Zhimin Ren, Yuheng Qiao, Yuping Yuan et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

An Effective Heart Valve Disorder Classification Technique Using Phonocardiograms
Rishal S. P, Udit Satija. IEEE India Conference, 2022. Cites: paper

Automated Detection of Heart Murmurs From the PCG Signal Using Stationary Wavelet Transform
Samarjeet Das, Samarendra Dandapat. IEEE India Conference, 2022. Cites: paper

Multiscale Kernel Residual Convolutional Neural Network to Detect Heart Valve Diseases
Samarjeet Das, Samarendra Dandapat. IEEE India Conference, 2022. Cites: paper

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer
Theekshana Dissanayake, Tharindu Fernando, Simon Denman et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper

Research on the Classification of ECG and PCG Signals Based on BiLSTM-GoogLeNet-DS
Jinghui Li, Li Ke, Qiang Du et al. Applied Sciences, 2022. Cites: paper

Identification of decompensation episodes in chronic heart failure patients based solely on heart sounds
David Susič, Gregor Poglajen, Anton Gradišek. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

A Low-Cost Digital Stethoscope For Normal and Abnormal Heart Sound Classification
Sorawit Khoruamkid, Sarinporn Visitsattapongse. Biomedical Engineering International Conference, 2022. Cites: paper

Heart Sounds Frequency Analysis for Development of Auto Diagnosis System of Heart Disease
Nur'Afifah Yousri, Nurul Usna Abd Rahman, Nabilah bt Ibrahim. IEEE Student Conference on Research and Development (SCOReD), 2022. Cites: paper

Prediction of Cardiovascular Diseases by Integrating Electrocardiogram (ECG) and Phonocardiogram (PCG) Multi-Modal Features using Hidden Semi Morkov Model
Prasadgouda B Patil, Vijay Bhaskar Reddy, P. S. Ashokumar. International Journal on Recent and Innovation Trends in Computing and Communication, 2022. Cites: paper

A novel heart sound segmentation algorithm via multi-feature input and neural network with attention mechanism
Yang Guo, Hongbo Yang, Tao Guo et al. Biomedical Physics & Engineering Express, 2022. Cites: paper

Spektral Özellikler ve MFCC Tabanlı Özellikleri Kullanan Klasik Makine Öğrenmesi Metotlarıyla PCG Parça Sınıflandırması
Ali Fatih Gündüz, Muhammed Fatih Talu. European Journal of Science and Technology, 2022. Cites: paper

Classification of Heart Sounds Based on Topological Data Analysis Method
Feifei Liu, Yonglian Ren, Shengxiang Xia et al. Frontiers in artificial intelligence and applications, 2022. Cites: paper

Hemodynamics-driven mathematical model of third heart sound generation
Mehrdad Shahmohammadi, Wouter Huberts, Hongxing Luo et al. Frontiers in Physiology, 2022. Cites: paper

Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings
Farhat Binte Azam, Md. Istiaq Ansari, Shoyad Ibn Sabur Khan Nuhash et al. Artificial Intelligence in Medicine, 2022. Cites: paper

Segmentation and Classification of Cardiac Sound Signals and Their Use in the Diagnosis of Heart Disease
Mohamed Rebiai, Billel Bengherbia, Nadjet Benkhaoua et al. International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE), 2022. Cites: paper

Can Multi-channel Heart Sounds Analysis improve Murmur Detection?
Marcelo Nogueira, Jorge Oliveira, Carlos Gomes Ferreira et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2022. Cites: paper

Automated identification of innocent Still's murmur using a convolutional neural network
Raj Shekhar, Ganesh Vanama, Titus John et al. Frontiers in Pediatrics, 2022. Cites: paper

Comparison of window shapes and lengths in short-time feature extraction for classification of heart sound signals
Mahmoud Fakhry, Abeer FathAllah Brery. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, 2022. Cites: paper

Graph convolutional network‐based deep feature learning for cardiovascular disease recognition from heart sound signals
Khosro Rezaee, Mohammad R. Khosravi, Mohammad Jabari et al. International Journal of Intelligent Systems, 2022. Cites: paper

Learning Optimal Time-Frequency Representations for Heart Sound: A Comparative Study
Zhihua Wang, Zhihao Bao, Kun Qian et al. Lecture notes in electrical engineering, 2022. Cites: paper

On the analysis of data augmentation methods for spectral imaged based heart sound classification using convolutional neural networks
G. Wayne Zhou, Yunchan Chen, Candace Chien. BMC Medical Informatics and Decision Making, 2022. Cites: paper

Dynamic Principal Component Analysis in High Dimensions
Xiaoyu Hu, Fang Yao. Journal of the American Statistical Association, 2022. Cites: paper

Going Beyond Accuracy: Interpretability Metrics for CNN Representations of Physiological Signals
Kang Gu, Temiloluwa Prioleau, Soroush Vosoughi. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition, 2022. Cites: paper

Heart Sound Classification Using Deep Learning Techniques Based on Log-mel Spectrogram
Minh-Tuan Nguyen, Wei Wen Lin, Jin Huang. Circuits Systems and Signal Processing, 2022. Cites: paper

A Heart Sound Classification Algorithm Based on Bispectral Analysis and Deep Learning
Chundong Xu, Zhengjie Yang, Cheng Zhu. 2022. Cites: paper

Audio Segmentation Techniques and Applications Based on Deep Learning
Shruti Aggarwal, G. Vasukidevi, S. Selvakanmani et al. Scientific Programming, 2022. Cites: paper

PCG classification through spectrogram using transfer learning
Shahid Ismail, Basit Ismail, Imran Siddiqi et al. Biomedical Signal Processing and Control, 2022. Cites: paper

Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022
Matthew A. Reyna, Yashar Kiarashi, Andoni Elola et al. medRxiv, 2022. Cites: paper

Design of Abnormal Heart Sound Recognition System Based on HSMM and Deep Neural Network
Hai Yin, Qiliang Ma, Junwei Zhuang et al. Medical Devices Evidence and Research, 2022. Cites: paper

A robust low-cost adaptive filtering technique for phonocardiogram signal denoising
S. Hannah Pauline, Samiappan Dhanalakshmi. Signal Processing, 2022. Cites: paper

CNN-Based Heart Sound Classification with an Imbalance-Compensating Weighted Loss Function
Zishen Li, Yi Chang, Björn Wolfgang Schuller. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper

Heart Sound Classification based on Residual Shrinkage Networks
Lixian Zhu, Kun Qian, Zhihua Wang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper

The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation
Jorge Oliveira, Diogo Marcelo Nogueira, Carlos Ferreira et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper

Heart Sounds Classification Using Short-Time Fourier Transform and Gray Level Difference Method
Achmad Rizal, Vivi Aliyah Putri Handzah, Purba Daru Kusuma. Ingénierie des systèmes d information, 2022. Cites: paper

Automated detection of heart valve disorders with time-frequency and deep features on PCG signals
Özkan Arslan. Biomedical Signal Processing and Control, 2022. Cites: paper

Hilbert-envelope features for cardiac disease classification from noisy phonocardiograms
Nusrat Binta Nizam, Shoyad Ibn Sabur Khan Nuhash, Taufiq Hasan. Biomedical Signal Processing and Control, 2022. Cites: paper

Machine Learning Models for Detection of Decompensation in Chronic Heart Failure Using Heart Sounds
David Susič, Gregor Poglajen, Anton Gradišek. Ambient intelligence and smart environments, 2022. Cites: paper

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