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

Comparative Study of Deep Neural and Kolmogorov–Arnold Networks for Heart Disease Risk Stratification via Stethoscopic Signals
Nawat Suangburanakul, Bhurin Sombattanasook, Siriporn Sakboonyarat et al. International Computer Science and Engineering Conference, 2025. Cites: paper

A multi-modal smart chest patch for real-time cardiopulmonary monitoring and anomaly detection
Shirong Qiu, Tianxiao Xiao, Yihao Li et al. Science China Materials, 2025. Cites: paper

Bidirectional Translation Between ECG and PCG
Sajjad Karimi, Amit J. Shah, Gari D. Clifford et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper

SSC-UNet: UNet with Self-Supervised Contrastive Learning for Phonocardiography Noise Reduction
Lizy Abraham, Siobhan Coughlan, Kritika Rajain et al. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2025. Cites: paper

Trainable Fractional Spectrogram for Phonocardiogram Classification
Ebrahim Ameen Nehary, Sreeraman Rajan. Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ..., 2025. Cites: paper

Enhanced Heart Sound Detection via Multi-Scale Feature Extraction and Attention Mechanism Using Pitch-Shifting Data Augmentation
Pengcheng Yue, Mingrong Dong, Yixuan Yang. Electronics, 2025. Cites: paper

A self-attention-driven deep denoiser model for real time lung sound denoising in noisy environments
Samiul Based Shuvo, Syed Samiul Alam, Taufiq Hasan. Biomedical Signal Processing and Control, 2025. Cites: paper

Challenges and Advances in Digital Processing of Fetal Phonocardiography Signal: A Review
Ernesto Moya-Albor, Jorge Brieva, Sandra L. Gomez-Coronel et al. Studies in computational intelligence, 2025. Cites: paper

A robust deep learning based model for denoising phonocardiogram signals in clinical environments
Maroš Jakubec, Eva Lieskovská, Peter Počta. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Deep determination of cardiac condition from phonocardiograms
Shubham Basak, Ujjwal Bhattacharya. Neural Computing and Applications, 2025. Cites: paper

Bimodal ECG and PCG Cardiovascular Disease Detection: Exploring the Potential and Modality Contribution
Alessia Calzoni, Mattia Savardi, Marco Silvestri et al. Journal of Medical Systems, 2025. Cites: paper

Deep Learning for Heart Sound Abnormality of Infants: Proof-of-Concept Study of 1D and 2D Representations
Eashita Wazed, Jimin Lee, Hieyong Jeong. Children, 2025. Cites: paper

A Knowledge-Guided Pre-Training Temporal Data Analysis Foundation Model for Urban Computing
Haochen Shi, Shengdong Du, Yan Chun Yang et al. IEEE Transactions on Knowledge and Data Engineering, 2025. Cites: paper

Automated detection of pediatric congenital heart disease from phonocardiograms using deep and handcrafted feature fusion
Abdul Jabbar, Ethan Grooby, Yang Yi Poh et al. Computers in Biology and Medicine, 2025. Cites: paper

MSCGN: Multiscale complementary gating network for time series classification
Xidong Wu, Mingke Yan, Haotian Tang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Coronary Artery Disease Classification Algorithms and System Integration Based on Synchronized PCG and ECG Signals.
Fangyuan Chen, Yuhua Yang, Chenbin Ma et al. Journal of Physics Conference Series, 2025. Cites: paper

Enhanced heart valve disease classification with learnable wavelet scattering and steerable complex valued LSTM
A.D. Jeyarani. Measurement, 2025. Cites: paper

Generative deep learning and signal processing for data augmentation of cardiac auscultation signals: Improving model robustness using synthetic audio
Leigh Abbott, Milan Marocchi, Matthew Fynn et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Research on Heart Sound Signal Denoising Algorithm Based on Improved Generative Adversarial Network
Haitian Ye, Youkun Sun, Yating Zhao et al. UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies (UCMMT), 2025. Cites: paper

Balancing Energy Consumption and Detection Accuracy in Cardiovascular Disease Diagnosis: A Spiking Neural Network-Based Approach with ECG and PCG Signals
Guihao Ran, Yijing Wang, Han Zhang et al. Sensors, 2025. Cites: paper

An end-to-end heart sound classification method
Wei Han, Zhijin Xiong. International Conference on Electronic Information Technology (EIT), 2025. Cites: paper

Always-on Hyperdimensional Heartbeats
Tanner Mergist, Sercan Aygün. IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2025. Cites: paper

Scalogram Based Heart Sound Classification Using Deep Learning on Raspberry Pi
Abhishek, Aryan Mittal, Shashank Sheshar Singh et al. International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2025. Cites: paper

FTP: Filtered Temporal-Population for time series encoding in Spiking Neural Network
Hyun Won Lee, Won-Seok Hong, Kwon Hong et al. ICT Express, 2025. Cites: paper

A progressive attention-based cross-modal fusion network for cardiovascular disease detection using synchronized electrocardiogram and phonocardiogram signals
Wei Peng Li, Joon Huang Chuah, Guo Jeng Tan et al. PeerJ Computer Science, 2025. Cites: paper

Detection of Heart Abnormality with Stethoscope Sounds
Tarushi Jat, Prajna Bhat, Nagamma Patil. SN Computer Science, 2025. Cites: paper

Integrating ECG and PCG Signals through a Dual-Modal ViT for Coronary Artery Disease Detection
Xu Liu, Ling You, Chengcong Lv et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Denoising of Heart Sound Recordings Standard vs. supervised techniques: is cleaner better for classification?
E. Tatulli, Hugo Lafaye de Micheaux, Julie Fontecave-Jallon. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Fine-Tuning of Wav2Vec 2.0 for Multimodal Classification of Abnormal Heart Sounds
Milan Marocchi, Matthew Fynn, Yue Rong. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Machine Learning-Based Ensemble Predictive Model for Cardiovascular Disease Prevention
Neeraj Kumar, Rekha Agarwal, Lokesh Kumar Sharma et al. International Journal of Angiology, 2025. Cites: paper

Non-Invasive Detection of Coronary Artery Disease and Valvular Disorders Using a Multichannel PCG Vest
Matthew Fynn, Milan Marocchi, Arnab Maity et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Using Convolutional Neural Networks for Fetal Heart Sound Segmentation
Kristóf Müller, Janka Hatvani, Márton Áron Goda et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Enhanced heart sound classification using bispectral features and attention-guided ResCANet
Mengyao Cui, Zhanfang Zhao, Tengchao Yin. The Visual Computer, 2025. Cites: paper

Explainable boiling acoustics analysis using Grad-CAM and YAMNet for robust pool boiling regime classification
B. Suriyaprasaad, Avinash Upadhyay, Atul Thakur et al. Applied Thermal Engineering, 2025. Cites: paper

Heart sound classification based on convolutional neural network with convolutional block attention module
Ximing Huai, Lei Jiang, Chao Wang et al. Frontiers in Physiology, 2025. Cites: paper

Development and validation of an integrated residual-recurrent neural network model for automated heart murmur detection in pediatric populations
Yi-Huan Hsieh, Hsien-Kuan Liu, Jiunn‐Ren Wu et al. Scientific Reports, 2025. Cites: paper

A Novel Method for ECG-Free Heart Sound Segmentation in Patients with Severe Aortic Valve Disease
Elza Abdessater, Jimmy Pawlowski, Paniz Balali et al. Sensors, 2025. Cites: paper

Enhancing PCG Signal Quality Through Cascaded Adaptive Noise Cancelling with Metaheuristic Optimization
Madhava Rao Alla, Chandan Nayak. Circuits Systems and Signal Processing, 2025. Cites: paper

Temporal convolutional neural network-based feature extraction and asynchronous channel information fusion method for heart abnormality detection in phonocardiograms
Jae-Man Shin, Seongyong Park, Keewon Shin et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings
Soh-Yeon Lee, Sully Lee, Se-Hoon Kim et al. BMC Veterinary Research, 2025. Cites: paper

Estimation of two-layer Gaussian mixture model for streaming longitudinal data in Bayesian framework
Xin Zhao, Xiaokai Nie. Statistics and Computing, 2025. Cites: paper

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals
Yunendah Nur Fuadah, Ki Moo Lim. Biomedical Engineering Letters, 2025. Cites: paper

Deep learning models for segmenting phonocardiogram signals: a comparative study
Hiam Alquran, Yazan Al-Issa, Mohammed Alsalatie et al. PLoS ONE, 2025. Cites: paper

Advanced ensemble learning-based CNN-BiLSTM network for cardiovascular disease classification using ECG and PCG signal
Ehsanhosein Kalatehjari, Mohammad Mehdi Hosseini, Ali Harimi et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Designing a Convolutional Neural Network for Classifying Phonocardiogram Signals for Coronary Artery Disease Detection
Amin Kazemi, Aida Shamsa, Seyed Ghorshi et al. IEEE Dallas Circuits and Systems Conference (DCAS), 2025. Cites: paper

Abnormal Heart Sound Detection Using Common Spatial Patterns and Random Forests
Turky N. Alotaiby, Nuwayyir A. Alsahle, Gaseb N. Alotibi. Electronics, 2025. Cites: paper

A Deep-Learning Approach to Heart Sound Classification Based on Combined Time-Frequency Representations
Leonel Orozco-Reyes, Miguel Alonso, Eloísa García–Canseco et al. Technologies, 2025. Cites: paper

Exploring finetuned audio-LLM on heart murmur features
Adrian Nicolas Florea, Xilin Jiang, Nima Mesgarani et al. Smart Health, 2025. Cites: paper

An Intelligent Systems for Heart Sound Signal Analysis: A Survey
Manu Saraswat, C.L.P. Gupta. International Conference on Bio Signals, Images, and Instrumentation (ICBSII), 2025. Cites: paper

A Latent Diffusion Model for Heart Sound Synthesis
Yang Tan, Haojie Zhang, Yi Chang et al. International Symposium on Computer Applications and Information Systems (ISCAIS), 2025. Cites: paper

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