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

Development of an Electronic Stethoscope and a Classification Algorithm for Cardiopulmonary Sounds
Yu‐Chi Wu, Chin‐Chuan Han, Chao-Shu Chang et al. Sensors, 2022. Cites: paper

Artificial neural network-based cardiovascular disease prediction using spectral features
Misha Urooj Khan, Sana Samer, Mohammad Dahman Alshehri et al. Computers & Electrical Engineering, 2022. Cites: paper

0.08mm2 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications
Yi Sheng Chong, Wang Ling Goh, Yew-Soon Ong et al. IEEE International Symposium on Circuits and Systems proceedings, 2022. Cites: paper

A Compact Non-Contact Heart Sound Sensor Based on Millimeter-Wave Radar
Wen Li, Shuqin Dong, Changzhan Gu et al. IEEE MTT-S International Microwave Biomedical Conference (IMBioC), 2022. Cites: paper

A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Cardiac Analysis
Qijia Huang, Huanrui Yang, Eric Zeng et al. 2022. Cites: paper

Deep learning approach of murmur detection using Cochleagram
Sangita Das, Saurabh Pal, Madhuchhanda Mitra. Biomedical Signal Processing and Control, 2022. Cites: paper

A Low-Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal
S. Hannah Pauline, Samiappan Dhanalakshmi, R. Kumar et al. Journal of Healthcare Engineering, 2022. Cites: paper

[A heart sound classification method based on complete ensemble empirical modal decomposition with adaptive noise permutation entropy and support vector machine].
Meijun Liu, Quanyu Wu, Sheng Ding et al. PubMed Central, 2022. Cites: paper

A critical review of heart sound signal segmentation algorithms
M. G. Manisha Milani, Pg Emeroylariffion Abas, Liyanage C. De Silva. Smart Health, 2022. Cites: paper

A Comparison between Different Kernels of Support Vector Machine to Predict Cardiovascular Diseases Using Phonocardiogram Signal
Faiyaz Fahim, Md. Tanvir Ahmed, Md. Nadim Mahmud Shuvo et al. International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2022. Cites: paper

Heart Sound Classification Method based on Ensemble Learning
Jin Chen, Xin Dang, Min Li. International Conference on Intelligent Computing and Signal Processing (ICSP), 2022. Cites: paper

Abnormal Heart Sound Detection by Using Temporal Convolutional Network
Keqi Liu, Lei Yuan, Chengji Huang et al. IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), 2022. Cites: paper

Automatic Classification of Normal–Abnormal Heart Sounds Using Convolution Neural Network and Long-Short Term Memory
Chen Ding, Weipeng Xuan, Yexing Gu et al. Electronics, 2022. Cites: paper

Deep Learning Algorithm for Heart Valve Diseases Assisted Diagnosis
Santiago Isaac Flores-Alonso, Blanca Tovar-Corona, René Luna-García. Applied Sciences, 2022. Cites: paper

An automatic approach for heart failure typing based on heart sounds and convolutional recurrent neural networks
Hui Wang, Xingming Guo, Yineng Zheng et al. Physical and Engineering Sciences in Medicine, 2022. Cites: paper

Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet
Guangyang Tian, Cheng Lian, Zhigang Zeng et al. Cognitive Computation, 2022. Cites: paper

The selection of an optimal segmentation region in physiological signals
Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira et al. International Transactions in Operational Research, 2022. Cites: paper

An audio processing pipeline for acquiring diagnostic quality heart sounds via mobile phone
Davoud Shariat Panah, Andrew Hines, Joseph A. McKeever et al. Computers in Biology and Medicine, 2022. Cites: paper

Assessment of Dual-Tree Complex Wavelet Transform to Improve SNR in Collaboration with Neuro-Fuzzy System for Heart-Sound Identification
Bassam O. Al-Naami, Hossam Fraihat, Jamal Al-Nabulsi et al. Electronics, 2022. Cites: paper

The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach
Xinqi Bao, Yujia Xu, Ernest Nlandu Kamavuako. Sensors, 2022. Cites: paper

Aplicação da internet das coisas e aprendizado de máquina na identificação de doenças cardíacas pelas bulhas: um mapeamento sistemático
Ivo Sérgio Guimarães Brites, Lídia Martins da Silva, Sandro José Rigo et al. Revista Brasileira de Computação Aplicada, 2022. Cites: paper

Continuous Wavelet Transform based Phonocardiogram Delineation Method
Vishwanath Madhava Shervegar. Research Square, 2022. Cites: paper

A Comparison Study on Training Optimization Algorithms in the biLSTM Neural Network for Classification of PCG Signals
Mahmoud Fakhry, Abeer FathAllah Brery. International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2022. Cites: paper

Classification of Phonocardiogram Based on Multi-View Deep Network
Guangyang Tian, Cheng Lian, Bingrong Xu et al. Neural Processing Letters, 2022. Cites: paper

An Improved Unsegmented Phonocardiogram Classification Using Nonlinear Time Scattering Features
Sinam Ajitkumar Singh, Ningthoujam Dinita Devi, Swanirbhar Majumder. The Computer Journal, 2022. Cites: paper

Hybrid Convolutional Networks for End-to-End Event Detection in Concurrent PPG and PCG Signals Affected by Motion Artifacts
Davide Marzorati, Andrea Dorizza, Dario Bovio et al. IEEE Transactions on Biomedical Engineering, 2022. Cites: paper

New auscultation: can we detect heart failure by auscultation ?
Journal of Community Medicine and Public Health Reports, 2022. Cites: paper

Heart Sound Classification Based on Nonlinear Time-frequency Features
Aaron Raymond See, Inah Salvador Cabili, Yeou‐Jiunn Chen. Sensors and Materials, 2022. Cites: paper

The algorithm for pulse measurement using a human’s and fetus’s phonocardiogram without classifying heart sounds
Ya. V. Kosteley, Дмитрий Сергеевич Жданов, И.Г. Боровской. Modelirovanie, optimizaciâ i informacionnye tehnologii., 2022. Cites: paper

An Effective CAD System for Heart Sound Abnormality Detection
Agostino Giorgio, Cataldo Guaragnella, María Rízzí. Circuits Systems and Signal Processing, 2022. Cites: paper

Effect of Hilbert-Huang transform on classification of PCG signals using machine learning
Özkan Arslan, Mustafa Karhan. Journal of King Saud University - Computer and Information Sciences, 2022. Cites: paper

Review of Heart Sound Analyses from Phonocardiogram Records
Ali Fatih Gündüz. ROMANIAN BIOTECHNOLOGICAL LETTERS, 2022. Cites: paper

A multimodal parallel method for left ventricular dysfunction identification based on phonocardiogram and electrocardiogram signals synchronous analysis
Yajing Zeng, Siyu Yang, Xiongkai Yu et al. Mathematical Biosciences & Engineering, 2022. Cites: paper

An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series
Peng Ren, Zhiyuan Tian, Zeyu Wang et al. Lecture notes in computer science, 2022. Cites: paper

Artificial Intelligence in Pediatrics
Christopher J. Kelly, Alexander P.Y. Brown, James Arnold Taylor. Springer eBooks, 2022. Cites: paper

Automated Heart Valve Disorder Detection Based on PDF Modeling of Formant Variation Pattern in PCG Signal
Monjur Morshed, Shaikh Anowarul Fattah, Mohammad Saquib. IEEE Access, 2022. Cites: paper

Automatic analysis of the heart sound signal to build smart healthcare system
Puneet Kumar Jain, Om Prakash Mahela. Elsevier eBooks, 2022. Cites: paper

Bidirectional Long Short-Term Memory Networks for Heart Sound Segmentation from the Phonocardiogram
Sofia Margarida Monteiro, Ana L. N. Fred, Hugo Silva. SSRN Electronic Journal, 2022. Cites: paper

Data and signals for the assessment of the cardiovascular system
Francisco Castells, Raquel Cervigón, José Millet. Elsevier eBooks, 2022. Cites: paper

Deep Feature Learning for Medical Acoustics
Alessandro Maria Poirè, Federico Simonetta, Stavros Ntalampiras. Lecture notes in computer science, 2022. Cites: paper

Heart sounds
Hongxing Luo. 2022. Cites: paper

Heart Valve Diseases Detection Based on Feature-Fusion and Hierarchical LSTM Network
Samarjeet Das, Debasish Jyotishi, Samarendra Dandapat. IEEE Transactions on Instrumentation and Measurement, 2022. Cites: paper

Machine Learning and IoT Applied to Cardiovascular Diseases Identification Through Heart Sounds: A Literature Review
Ivo Sérgio Guimarães Brites, Lídia Martins da Silva, Jorge Luís Victória Barbosa et al. Lecture notes in networks and systems, 2022. Cites: paper

[Retracted] Improvement of the Accuracy in the Identification of Coronary Artery Disease Combining Heart Sound Features
Haixia Li, Guo‐Jun Zhang, Guicheng Shao et al. BioMed Research International, 2022. Cites: paper

Sensor signal analytics
Anirban Dutta Choudhury, Rohan Banerjee, Sanjay Kimbahune et al. Elsevier eBooks, 2022. Cites: paper

Anomalous sound event detection: A survey of machine learning based methods and applications
Zied Mnasri, Stefano Rovetta A, Francesco Masulli. Multimedia Tools and Applications, 2021. Cites: paper

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
Jorge Oliveira, Francesco Renna, Paulo Dias Costa et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Sound classification using evolving ensemble models and Particle Swarm Optimization
Zhang Li, Chee Peng Lim, Yonghong Yu et al. Applied Soft Computing, 2021. Cites: paper

A Lightweight Model for Heart Sound Classification Based on Inverted Residuals
Doo-Seo Park, Min‐Young Lee, Kihyun Kım et al. Journal of Korean Institute of Industrial Engineers, 2021. Cites: paper

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