Publications citing The CirCor DigiScope Phonocardiogram Dataset v1.0.3

Literature Review of Deep Learning for Physiological signal Analysis
Nicolás Ortiz, Ruben Darío Hernández Beleño, Mario Aldape Pérez et al. 2023. Cites: paper

Codec Data Augmentation for Time-Domain Heart Sound Classification
Ansh Mishra, Jia Qi Yip, Eng Siong Chng. International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA), 2023. Cites: paper

An automated diagnosis model for classifying cardiac abnormality utilizing deep neural networks
Gurjot Singh, Abhinav Verma, Lavanya Gupta et al. Multimedia Tools and Applications, 2023. Cites: paper

MCHeart: Multi-Channel-Based Heart Signal Processing Scheme for Heart Noise Detection Using Deep Learning
Soyul Han, Woongsun Jeon, Wuming Gong et al. Biology, 2023. Cites: dataset

Deep Learning for Heart Sound Analysis: A Literature Review
Qinghao Zhao, Shijia Geng, Boya Wang et al. medRxiv, 2023. Cites: paper

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird et al. Frontiers in Digital Health, 2023. Cites: paper

Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022
Matthew A. Reyna, Yashar Kiarashi, Andoni Elola et al. PLOS Digital Health, 2023. Cites: paper

Markov-Based Neural Networks for Heart Sound Segmentation: Using Domain Knowledge in a Principled Way
Miguel L. Martins, Miguel Tavares Coimbra, Francesco Renna. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Exploring Wav2vec 2.0 Model for Heart Murmur Detection
Davoud Shariat Panah, Andrew Hines, Susan McKeever. European Signal Processing Conference (EUSIPCO), 2023. Cites: paper

A hybrid bioinspired model for improving the efficiency of correlative auscultation analysis
Divya Singh, Bikesh Kumar Singh, Ajoy Kumar Behera. International Journal of Information Technology, 2023. Cites: paper

TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
Zhenge Jia, Dawei Li, Cong Liu et al. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023. Cites: paper

Early-warning of Cardiac Condition through Detection of Murmur in Heart Sound - A Case Study
Mohan Singh Aditya, Sowmya Rasipuram, Sourav Chattopadhyay et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Enhancement of Cardiac and Respiratory Sounds for Cellphone Reproduction by Means of Digital Sound Processing Methods
Maria Belen Echenique, Eduardo Jorge Godoy, Rodrigo F. Cádiz et al. International Conference on Auditory Display (ICAD), 2023. Cites: paper

Guest Editorial AIoPT (Artificial Intelligence of Paediatric Things): Informatics in Meeting Paediatric Needs and Patient Monitoring
Hemant Ghayvat, Manolis Tsiknakis, Subhas Chandra Mukhopadhyay. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram
Andoni Elola, Elisabete Aramendi, Jorge Oliveira et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: dataset, paper

Low‐Intensity Sensitive and High Stability Flexible Heart Sound Sensor Enabled by Hybrid Near‐Field/Far‐Field Electrospinning
Yihao Li, Yan Yan Shery Huang, Ni Zhao. Advanced Functional Materials, 2023. Cites: paper

CNN and Bidirectional GRU-Based Heartbeat Sound Classification Architecture for Elderly People
Harshwardhan Yadav, Param Shah, Neel Gandhi et al. Mathematics, 2023. Cites: paper

A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis
Rui Carlos Camacho, Jorge Oliveira, Luís Andrade. International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB), 2023. Cites: paper

A Novel Approach to Simultaneous Phonocardiography and Electrocardiography During Auscultation
Sofia Margarida Monteiro, Hugo Silva. IEEE Access, 2023. Cites: paper

Application of Phonocardiogram and Electrocardiogram Signal Features in Cardiovascular Abnormality Recognition
R. Geetha Ramani, Abhinand Ganesh, Roshni Balasubramanian et al. IFIP advances in information and communication technology, 2023. Cites: paper

Automated Heart Murmur Detection using Sound Processing Techniques
Mihai-Andrei Costandache, Matei-Alexandru Cioată, Adrian Iftene. Procedia Computer Science, 2023. Cites: paper

Explainable Deep Convolutional Neural Network for Valvular Heart Diseases Classification Using PCG Signals
Anandita Bhardwaj, Sandeep Singh, Deepak Joshi. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

HeartWave: A Multiclass Dataset of Heart Sounds for Cardiovascular Diseases Detection
Sami Alrabie, Ahmed Barnawi. IEEE Access, 2023. Cites: paper

Wearable devices
Miodrag Bolić. Elsevier eBooks, 2023. Cites: paper

ACQuA: Anomaly Classification with Quasi-Attractors
William Rudman, Jack Merullo, Laura Mercurio et al. Computing in cardiology, 2022. Cites: paper

A Fusion of Handcrafted Features and Deep Learning Classifiers for Heart Murmur Detection
Zaria Imran, Ethan Grooby, Chiranjibi Sitaula et al. Computing in cardiology, 2022. Cites: paper

A Lightweight Robust Approach for Automatic Heart Murmurs and Clinical Outcomes Classification from Phonocardiogram Recordings
Hui Lu, Julia Beatriz Yip, Tobias Steigleder et al. Computing in cardiology, 2022. Cites: paper

An LSTM-based Listener for Early Detection of Heart Disease
Philip Hempel, Nicolai Spicher, Tim Kacprowski. Computing in cardiology, 2022. Cites: paper

Beat-wise Uncertainty Learning for Murmur Detection in Heart Sounds
"Xingyao Wang, Foli Fan, Hongxiang Gao et al. Computing in cardiology, 2022. Cites: paper

Classification of Murmurs in PCG Using Combined Frequency Domain and Physician Inspired Features
Julia Ding, Jingjing Li, Max Xu". Computing in cardiology, 2022. Cites: paper

Classification of Phonocardiogram Recordings using Vision Transformer Architecture
Joonyeob Kim, Gibeom Park, Bongwon Suh". Computing in cardiology, 2022. Cites: paper

Classification of phonocardiograms using residual convolutional neural network and MLP
Guohui Peng, Haitao Zou, Jin Wang". Computing in cardiology, 2022. Cites: dataset, paper

Convolutional neural network aproach for heart murmur detection in auscultation signals using wavelet transform based features
Robertas Petrolis, Renata Paukštaitienė, Gabriele Rudokaite et al. Computing in cardiology, 2022. Cites: paper

Deep Learning Based Heart Murmur Detection using Frequency-time Domain Features of Heartbeat Sounds
Jungguk Lee, Taein Kang, Narin Kim et al. Computing in cardiology, 2022. Cites: paper

Detection of Heart Murmurs in Phonocardiograms with Parallel Hidden Semi-Markov Models
Andrew McDonald, Mark Gales, Anurag Agarwal". Computing in cardiology, 2022. Cites: paper

Detection of Heart Sound Murmurs and Clinical Outcome with Bidirectional Long Short-Term Memory Networks
Sofia M. Monteiro, Ana L. N. Fred, Hugo P. Silva". Computing in cardiology, 2022. Cites: paper

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

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection
Felix Krones, Benjamin Walker, Adam Mahdi et al. Computing in cardiology, 2022. Cites: paper

Ensemble Transformer-Based Neural Networks Detect Heart Murmur In Phonocardiogram Recordings
Mohanad Alkhodari, Syafiq Kamarul Azman, Leontios J. Hadjileontiadis et al. Computing in cardiology, 2022. Cites: paper

Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension from Heart Sounds
Alex Gaudio, Miguel Tavares Coimbra, Aurélio Campilho et al. Computing in cardiology, 2022. Cites: paper

Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector
Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar A. Fabelo et al. Computing in cardiology, 2022. Cites: paper

Heart Murmur Detection and Clinical Outcome Prediction using Multilayer Perceptron Classifier
Kiarash Jalali, Mohammad Amin Saket, Saman Noorzadeh. Computing in cardiology, 2022. Cites: paper

Heart Murmur Detection from Phonocardiogram Based on Residual Neural Network with Classes Distinguished Focal Loss
Pan Xia, Yicheng Yao, Changyu Liu et al. Computing in cardiology, 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. Computing in cardiology, 2022. Cites: paper

Heart Murmur Detection in Phonocardiographic Signals Using Breathing Noise Suppression
Kristóf Müller, Márton Áron Goda. Computing in cardiology, 2022. Cites: paper

Heart Murmur Detection of PCG Using ResNet with Selective Kernel Convolution
Yonghao Gao, Lihong Qiao, Zhixiang Li". 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

Heart Murmur Detection Using Wavelet Time Scattering and Support Vector Machines
Adrian K. Cornely, Grace Mirsky. Computing in cardiology, 2022. Cites: paper

Learning Time-Frequency Representations of Phonocardiogram for Murmur Detection
Jae-Man Shin, Seong-Yong Park, Hyun‐Seok Kim 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

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