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

Abnormal heart sound recognition using SVM and LSTM models in real-time mode
Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf k. Bsoul et al. Scientific Reports, 2025. Cites: paper

A Flexible Multi-Sensor Device Enabling Handheld Sensing of Heart Sounds by Untrained Users
Andrew McDonald, Maximilian Nussbaumer, Nirmani Rathnayake et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer
Murad Almadani, Mohanad Alkhodari, Samit Kumar Ghosh et al. Computers in Biology and Medicine, 2025. Cites: paper

Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module
Mingzhe Li, Zhaoming He, Hao Wang. Bioengineering, 2025. Cites: paper

A Unified Joint Contrastive Triplet Loss with Temporal and Frequency Signal Fusion for Diagnosing Heart Murmurs
Ayushi Pal, Arka Roy, Udit Satija. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Practicality meets precision: Wearable vest with integrated multi-channel PCG sensors for effective coronary artery disease pre-screening
Matthew Fynn, Kayapanda Muthana Mandana, Javed Rashid et al. Computers in Biology and Medicine, 2025. Cites: paper

Butterfly Optimization and Deep Learning to Classify Heart Sound Signal
Faika Fairuj Preotee, Md Sabbir Hossain, Shuvashis Sarker et al. International Conference on Emerging Smart Computing and Informatics (ESCI), 2025. Cites: paper

Self-supervised learning for intelligent disease diagnosis using audio signals: beyond copd to a spectrum of diseases
Wenchao Sun, Gang Wu, Ming Ming et al. Applied Intelligence, 2025. Cites: paper

Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform and 1D-CNN
Ahmed Patwa, Muhammad Mahboob Ur Rahman, Tareq Y. Al-Naffouri. IEEE Sensors Journal, 2025. Cites: paper

Cardiovascular Anomaly Detection: Integration of Phonocardiogram Signals with Ensemble Learning and Deep Learning Techniques
Dipta Dhar, Soumitra Mazumder, Mehdi Hasan Chowdhury. International Conference on Electrical, Computer and Communication Engineering, 2025. Cites: paper

Heart sound classification technique for early CVD detection using improved wavelet time scattering and discriminant analysis classifiers
Vishwanath Madhava Shervegar. Informatics and Health, 2025. Cites: paper

A comparative analysis of Constant-Q Transform, gammatonegram, and Mel-spectrogram techniques for AI-aided cardiac diagnostics
Mohammed Saddek Mekahlia, Mohamed Fezari, Ahcen Aliouat. Medical Engineering & Physics, 2025. Cites: paper

A Multi-Modal Deep Learning Framework With Feature Selection for Improved Cardiovascular Disease Prediction Using ECG and PCG Signals
M. Madlin Asha, Ramya Govindaraj. IGI Global eBooks, 2025. Cites: paper

Research on a phonocardiogram and electrocardiogram signal classification algorithm based on global group coordinate attention mechanism and multi-scale feature fusion
Guofu Wang, Yuhua Yang, Jiangong Cui et al. Sensor Review, 2025. Cites: paper

Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
Changhyun Park, Keewon Shin, Jinew Seo et al. Biomedical Engineering Letters, 2025. Cites: paper

Detection of coronary artery disease using a triplet network and hybrid loss function on heart sound signal
Xu Liu, Chengcong Lv, Linchun Cao et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Unsupervised segmentation of heart sounds from abrupt changes detection
E. Tatulli, Rémi Souriau, Julie Fontecave-Jallon. Computers in Biology and Medicine, 2025. Cites: paper

Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN
Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem et al. Results in Engineering, 2025. Cites: paper

A robust sliding window adaptive filtering technique for phonocardiogram signal denoising
Vishwanath Madhava Shervegar. Multimedia Tools and Applications, 2025. Cites: paper

Heart sound segmentation based on morphological transformation
Sidi Ahmed Taouli. STUDIES IN HEALTH SCIENCES, 2025. Cites: paper

Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension
Yuyang Gao, Pengyue Ma, Jiahua Pan et al. Frontiers in Physiology, 2025. Cites: paper

AI-Based Detection of Coronary Artery Occlusion Using Acoustic Biomarkers Before and After Stent Placement
David Anderson Lloyd, Andrei Dragomir, Bulent Ozpolat et al. IEEE Open Journal of Engineering in Medicine and Biology, 2025. Cites: paper

An Attention-Based Multi-Modal Framework for Intelligent Elderly Care Using Activity and Acoustic Data
Raoudha Nouisser, Salma Kammoun Jarraya, Mohamed Hammami. Procedia Computer Science, 2025. Cites: paper

A Systematic Review of Heart Sound Detection Algorithms: Experimental Results and Insights
Xiuli Bi, Shizhan Tang, Bin Xiao et al. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper

Cardiovascular Sound Classification Using Neural Architectures and Deep Learning for Advancing Cardiac Wellness
Deepak Mahto, Sudhakar Kumar, Sunil K. Singh et al. Computer Modeling in Engineering & Sciences, 2025. Cites: paper

Classification of Short-Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network
Md Hassanuzzaman, Samit Kumar Ghosh, Mohammad Nurul Akhtar Hasan et al. IEEE Access, 2025. Cites: paper

Deep Convolutional Neural Networks to Automatically Classify Human Heart Diseases
Yo‐Ping Huang, Richard Mushi, Frode Eika Sandnes et al. IEEE Access, 2025. Cites: paper

Development of digitized instructional multiple binaural acoustic stethoscope its applications and future prospects
Sherlyn D. Platon, Raymond D. Platon, Catalina C. Platon. AIP conference proceedings, 2025. Cites: paper

Empowering Open Innovation Through IEEE CAS Society Conferences’ Grand Challenges and the Development of Robust IEEE Standards [Open Innovations and Standards]
Yongfu Li, Yong Yin, Guoxing Wang et al. IEEE Circuits and Systems Magazine, 2025. Cites: paper

MCAF-Net: A non-invasive early screening method for coronary artery disease based on a multi-scale cross-modal model
Fangyuan Chen, Jiangong Cui, Renxin Wang et al. MATEC Web of Conferences, 2025. Cites: paper

Optimized Machine Learning Models to Enhance Aortic Stenosis Severity Classification
Fitri Aprilianty, Masakazu Takahashi, Ayumi Omuro et al. Procedia Computer Science, 2025. Cites: paper

Phonocardiogram Classification Using Dynamic Mode Decomposition for Heterogeneity-Resilient Training
Ebrahim A. Nehary, Sreeraman Rajan. IEEE Open Journal of Instrumentation and Measurement, 2025. Cites: paper

Preliminary Study on Real-Time Phonocardiogram Signal Acquisition and Analysis Using Machine Learning and IoMT for Digital Stethoscope
M. Kalimuthu, C. Hemanth. IEEE Access, 2025. Cites: paper

PSBD-EWT-EGAN: Heart sound denoising using PSBD-EWT and enhancement generative adversarial network
Jianqiang Hu, Lin Chen, Miao Yang et al. Computer Science and Information Systems, 2025. Cites: paper

Quantum-Enhanced AI-Driven Multifunctional Portable Diagnostic Device: A Conceptual Framework for Precision Preliminary Cardiovascular and Respiratory Assessment
Sami Rashid Mohammed Shibah. SSRN Electronic Journal, 2025. Cites: paper

Remote Monitoring of Vital Signs
Stefania Cristina, Peter Počta, Andrej Žgank et al. Intelligent systems reference library, 2025. Cites: paper

StackTrans–Multimodal Heart Disease Detection Using Stacked Transformer Fusion Framework
Muhammad Adnan, Yang Yi, Enci Wang et al. IEEE Access, 2025. Cites: paper

Temporal Feature Extraction and Gradient Boosting for Binary Cardiac Acoustic Classification
Ahmed Ali Farhan Ogaili, Noor T. Al-Sharify, Zainab Talib Al-Sharify et al. Lecture notes in networks and systems, 2025. Cites: paper

A Novel Approach for the Detection of Cardiovascular Abnormalities from Electrocardiogram and Phonocardiogram Signals Using Combined CNN-LSTM Techniques
Suganthi Brindha Gnanapirakasam, J. Manjula. Traitement du signal, 2024. Cites: paper

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies
Mehdi Hosseinzadeh, Amir Haider, Mazhar Hussain Malik et al. PLoS ONE, 2024. Cites: paper

Heart Sound Classification Using Signal Processing and Machine Learning Algorithm
K. Senthil Kumaran, R. Saranya, R Jayapreeya. et al. International Conference on System, Computation, Automation and Networking (ICSCAN), 2024. Cites: paper

Phonocardiogram Signal Denoising Using Dictionary Learning
Habib Ebadi Namin, Hossein Marvi, Alireza Ahmadyfard. International Conference on Signal Processing and Intelligent Systems (ICSPIS), 2024. Cites: paper

Leveraging Graph Node Weighted PCG Signal Propagation for Heart Valve Disorder Detection
Ayushi Pal, Udit Satija. IEEE India Conference, 2024. Cites: paper

Enhanced Cardiac Disease Detection Using MFCC Feature Extraction from PCG Signals
Mohamed Rebiai, Mohamed Rafik Aymene Berkani, Ilham Besseri et al. International Conference on Telecommunications and Intelligent Systems (ICTIS), 2024. Cites: paper

Librarians’ perceptions and use of open access resources for economic sustainability in selected university libraries in Kwara State, Nigeria
Ismail Olatunji Adeyemi, Quareebat Ayomide Adeleke, Shamsudeen Aweda Abdullahi et al. Collection and Curation, 2024. Cites: paper

Machine learning based heart murmur detection and classification
Ishan Fernando, D. Oliver Kannangara, Santhusha Kodituwakku et al. Biomedical Physics & Engineering Express, 2024. Cites: paper

From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings
Felix Krones, Benjamin Walker. PLOS Digital Health, 2024. Cites: paper

Toward the Development of a Low-Cost AI-Enabled Digital Stethoscope
Francis Chikweto, Muyanga Kampekete, Mubanga Boyd et al. International Conference on Electrical and Computer Engineering Researches (ICECER), 2024. Cites: paper

Deep Learning Models for Coronary Artery Disease Classification using Phonocardiograms
Chenhe Liu, Jiasheng Zhang, Yibo Zhang. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

On the Impact of Transfer Learning for Multimodal Heart Sound and Electrocardiogram Classification
Hélder Vieira, Ana Oliveira, André Lobo et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

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