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

pyPCG: a Python toolbox specialized for phonocardiography analysis
Kristóf Müller, Janka Hatvani, Miklós Koller et al. Physiological Measurement, 2024. Cites: paper

Comparing Top-K and Manual Feature Selection for PCG Signal Classification using XGBoost
Poorv Patil. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2024. Cites: paper

A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms
Andrew McDonald, Mark Gales, Anurag Agarwal. PLOS Digital Health, 2024. Cites: paper

Detection of coronary heart disease based on heart sound and hybrid Vision Transformer
Wenhao Zhao, Hongwen Ma, Ni Jin et al. Applied Acoustics, 2024. Cites: paper

Clearer Lub-Dub: A Novel Approach in Heart Sound Denoising Based on Transfer Learning
Peng Gao, Haojie Zhang, Lin Shen et al. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2024. Cites: paper

Detection of Coronary Artery Disease Using PCG Signals for Wearable Devices: LSTM-Based Approach
Priyanka Chauhan, Kolin Paul. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2024. Cites: paper

Inspiration of Prototype Knowledge: Introducing a Meta-Learning Approach to Heart Sound Classification
Qingrong Wu, Mengkai Sun, Haojie Zhang et al. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2024. Cites: paper

Segmentation Tool for Heart Sounds S1 and S2 Using Deep Learning Models for Healthcare Professionals
Brayan Lopez, David Chaucanes, Diego Cabrera et al. IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2024. Cites: paper

Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods
Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El‐Hafeez et al. Journal Of Big Data, 2024. Cites: paper

Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach
Anupinder Singh, Vinay Arora, Mandeep Singh. Applied Sciences, 2024. Cites: paper

A machine-learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs
Andrew McDonald, José Novo Matos, Joel Silva et al. Journal of Veterinary Internal Medicine, 2024. Cites: paper

Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning
Arnab Maity, Goutam Saha. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Classification of Acoustic Tones and Cardiac Murmurs Based on Digital Signal Analysis Leveraging Machine Learning Methods
Nataliya Shakhovska, ІВАН ЗАГОРОДНИЙ. Computation, 2024. Cites: paper

Foundation models for cardiovascular disease detection via biosignals from digital stethoscopes
George Mathew, Daniel Barbosa, John Prince et al. npj Cardiovascular Health, 2024. Cites: paper

Cardiovascular disease detection based on deep learning and multi-modal data fusion
Jiayuan Zhu, Hui Liu, Xiaowei Liu et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle et al. Information Fusion, 2024. Cites: paper

Explainable AI-driven machine learning for heart disease detection using ECG signal
Babita Majhi, Aarti Kashyap. Applied Soft Computing, 2024. Cites: paper

PCGmix: A Data-Augmentation Method for Heart-Sound Classification
David Susič, Anton Gradišek, Matjaž Gams. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Segmentation of Heart Sound Signal Based on Multi-Scale Feature Fusion and Multi-Classification of Congenital Heart Disease
Yuan Zeng, Mingzhe Li, Zhaoming He et al. Bioengineering, 2024. Cites: paper

A deep neural network approach to heart murmur detection using spectrogram and peak interval features
Soyul Han, Taein Kang, Jungguk Lee et al. Engineering Applications of Artificial Intelligence, 2024. Cites: paper

Recent advances in acoustoelectric conversion of piezoelectric electrospun nanofibers
Chenhong Lang, Hongxia Wang, Jian Hua Fang et al. Nano Energy, 2024. Cites: paper

Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database
Bing Zhu, Zihong Zhou, Shaode Yu et al. Electronics, 2024. Cites: paper

Improvement in the performance of deep learning based on CNN to classify the heart sound by evaluating hyper-parameters
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal. Soft Computing, 2024. Cites: paper

Improving Fetal Heart Sounds Using Deep Learning and Smart Signal Processing
Beatriz López‐Garrido, Roberto Gil‐Pita, Íñigo Cortázar-Neira et al. IEEE International Conference on Technology, Informatics, Management, Engineering and Environment (TIME-E), 2024. Cites: paper

Deep learning fusion framework for automated coronary artery disease detection using raw heart sound signals
YunFei Dai, Pengfei Liu, Wenqing Hou et al. Heliyon, 2024. Cites: paper

Enhancing Heart Murmur Detection: A Comparative Study of Machine Learning Models Utilizing Digital Stethoscopes
Nathaniel Mastracci, Farnaz Derakhshan, Edward R. Sykes et al. IEEE World Conference on Applied Intelligence and Computing (AIC), 2024. Cites: paper

Ensemble Learning for Accurate Prediction of Heart Sounds using Gammatonegram Images
Sinam Ashinikumar Singh, Sinam Ajitkumar Singh, Aheibam Dinamani Singh. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2024. Cites: paper

Preliminary study: mobile phone as a phonocardiographic signal recorder
Michał Łuczyński. International Journal of Electronics and Telecommunications, 2024. Cites: paper

Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram
Yeonggul Jang, Juyeong Jung, Youngtaek Hong et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection
Wanyong Qiu, Yifan Feng, Yuying Li et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Effects of precise cardio sounds on the success rate of phonocardiography
Youngsin Kim, Mihyung Moon, Seokwhwan Moon et al. PLoS ONE, 2024. Cites: paper

Exploring Wav2vec 2.0 Model for Heart Sound Analysis
Alex Paul Kamson, Akshay Sawant, Prasanta Kumar Ghosh et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

Heart Murmur Classification for Diagnostic Applications
Ashley FitzGerald, Taikang Ning. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era
Zhao Xu Ren, Yi Chang, Thành Tâm Nguyên et al. IEEE Computational Intelligence Magazine, 2024. Cites: paper

From time series to networks in R with the ts2net package
Leonardo N. Ferreira. Applied Network Science, 2024. Cites: paper

Towards Smartphone-Based Heart Sound Classification
Prachee Priyadarshinee, B T Balamurali, Vern Hsen Tan et al. International Conference on Signal Processing and Communications (SPCOM), 2024. Cites: paper

Enhanced Phonocardiogram Classification Performance through Outlier Detection
Ebrahim Ameen Nehary, Sreeraman Rajan. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2024. Cites: paper

PCG Signal Acquisition and Classification for Heart Failure Detection: Recent Advances and Implementation of Memory-Efficient Classifiers for Edge Computing-Based Wearable Devices
Lorenzo Spongano, Roberto De Fazio, Massimo De Vittorio et al. International Conference on Smart and Sustainable Technologies (SpliTech), 2024. Cites: paper

A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation
Qijia Huang, Huanrui Yang, Eric Zeng et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2024. Cites: paper

Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices
Roberto De Fazio, Lorenzo Spongano, Massimo De Vittorio et al. Sensors, 2024. Cites: paper

Analysis on fetal phonocardiography segmentation problem by hybridized classifier
Lingping Kong, Katerina Barnova, René Jaroš et al. Engineering Applications of Artificial Intelligence, 2024. Cites: paper

Portable heart sound diagnostic instrument based on CNN+ConvLSTM
Jifan Kong, Huijie Zheng, Boda Zhou et al. International Symposium on Computer and Information Processing Technology (ISCIPT), 2024. Cites: paper

PSCS: A Physiological Sound Compression System Based on Compressive Sensing with Self-Adaptive Compression Ratio and Optimized DCT
Changyan Chen, Rui Pan, Huajie Huang et al. IEEE International Symposium on Circuits and Systems proceedings, 2024. Cites: paper

Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework
Wanyong Qiu, Chen Quan, Lixian Zhu et al. IEEE Transactions on Biomedical Engineering, 2024. Cites: paper

An open-access simultaneous electrocardiogram and phonocardiogram database
Arsalan Kazemnejad, Sajjad Karimi, Peiman Gordany et al. Physiological Measurement, 2024. Cites: paper

Mathematical Morphology-Based Envelope Detection for Cardiac Disease Classification from Phonocardiogram Signals
Mohamed Rebiai, Mohamed Rafik Aymene Berkani, Mohamed Yacine Bentegri et al. International Conference on Image and Signal Processing and their Applications (ISPA), 2024. Cites: paper

Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning
G. Wayne Zhou, Candace Chien, Justin Chen et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Heart Sound Signals Classification with Image Conversion Employed
Erqiang Deng, Yibei Jia, Guobin Zhu et al. Electronics, 2024. Cites: paper

Heart Murmur Severity Stages Classification Using Multikernel Residual CNN
Samarjeet Das, Samarendra Dandapat. IEEE Sensors Journal, 2024. Cites: paper

A novel feature-level fusion scheme with multimodal attention CNN for heart sound classification
Kalpeshkumar Ranipa, Wei‐Ping Zhu, M.N.S. Swamy. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

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