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

Multi-path Heart Sound Detection Based on Wavelet Scattering and Attention Mechanism
Baokun Han, Meng Chen, Yongjian Li et al. International Congress on Image and Signal Processing (CISP), 2023. Cites: paper

Heart Murmur Classification Using a Capsule Neural Network
Yu‐Ting Tsai, Yu-Hsuan Liu, Ziwei Zheng et al. Bioengineering, 2023. Cites: paper

Design and application of a flexible nano cardiac sound sensor based on P(VDF-TrFE)/KNN/GR composite piezoelectric film for heart disease diagnosis
Yi Luo, Yu Xiao, Jian Liu et al. Nanotechnology, 2023. Cites: paper

Heart Beat Sound Signals Classification Using Spectral Roll Off
B. Sarada, Smitha Chowdary Ch, INTURI BHUVANA SRI et al. International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), 2023. Cites: paper

Co-learning-assisted progressive dense fusion network for cardiovascular disease detection using ECG and PCG signals
Haobo Zhang, Peng Zhang, Fan Lin et al. Expert Systems with Applications, 2023. Cites: paper

Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease
John Prince, John Maidens, Spencer Kieu et al. Journal of the American Heart Association, 2023. Cites: paper

An ensemble-based transfer learning model for predicting the imbalance heart sound signal using spectrogram images
Sinam Ajitkumar Singh, Ningthoujam Dinita Devi, Khuraijam Nelson Singh et al. Multimedia Tools and Applications, 2023. Cites: paper

Heart Sound Classification Network Based on Convolution and Transformer
Jiawen Cheng, Kexue Sun. Sensors, 2023. Cites: paper

LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices
Lixian Zhu, Wanyong Qiu, Yu Ma et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

An intelligent Medical Cyber–Physical System to support heart valve disease screening and diagnosis
Gennaro Tartarisco, Giovanni Cicceri, Roberta Bruschetta et al. Expert Systems with Applications, 2023. Cites: paper

Building a Mobile Platform For CNN Based Heart Murmur Identification
Pragun Sharma. 2023. Cites: paper

Noncontact Cardiac Parameters Estimation Using Radar Acoustics for Healthcare IoT
Yu Rong, Isabella Lenz, Daniel W. Bliss. IEEE Internet of Things Journal, 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

Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device
Domenico Ragusa, Antonio J. Rodríguez-Almeida, Stephan Nolting et al. Euromicro Conference on Digital System Design (DSD), 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

A novel methodology for evaluation of S2 wide split via estimated parameters
Shuping Sun, Wei Dong Song, Yaonan Tong et al. Computer Methods and Programs in Biomedicine, 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

A learnable front-end based efficient channel attention network for heart sound classification
Aolei Liu, Sunjie Zhang, Zhe Wang et al. Physiological Measurement, 2023. Cites: paper

Denoising of Heart Sounds Using Transform Domain Adaptive Line Enhancer
Nattapat Pongyart, Wisute Ongcunaruk. Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C), 2023. Cites: paper

Multi-Feature Decision Fusion Network for Heart Sound Abnormality Detection and Classification
Haobo Zhang, Peng Zhang, Zhiwei Wang et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Comparison of Spectral and Sparse Feature Extraction Methods for Heart Sounds Classification
Universidad de Ensenada, Roilhi F. Ibarra-Hernández, Miguel Alonso et al. Revista Mexicana de Ingeniería Biomédica, 2023. Cites: paper

A wearable nanoscale heart sound sensor based on P(VDF-TrFE)/ZnO/GR and its application in cardiac disease detection
Yi Luo, Jian Liu, Jiachang Zhang et al. Beilstein Journal of Nanotechnology, 2023. Cites: paper

Deep transfer learning for automatic speech recognition: Towards better generalization
Hamza Kheddar, Yassine Himeur, Somaya Ali Al-Maadeed et al. Knowledge-Based Systems, 2023. Cites: paper

NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Building a Mobile Platform For CNN Based Heart Murmur Identification
Pragun Sharma. 2023. Cites: paper

Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach
Zikai Song, Lixian Zhu, Yiyan Wang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 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

Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation
Cuiping Zhu, Zhonghao Zhao, Yang Tan et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

On the Impact of Synchronous Electrocardiogram Signals for Heart Sounds Segmentation
Aníbal Silva, Rafael Teixeira, Ricardo Fontes‐Carvalho et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Time-Frequency Fragment Selection for Disease Detection from Imbalanced Phonocardiogram Data
Arnab Maity, Goutam Saha. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Classification of normal and abnormal heart by classifying PCG signal using MFCC coefficients and CGP-ANN classifier
Muhammad Israr, Muhammad Zia, Naveed ur Rehman et al. Mehran University Research Journal of Engineering and Technology, 2023. Cites: paper

PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis
Rongsheng Wang, Yaofei Duan, Yukun Li et al. The Visual Computer, 2023. Cites: paper

FISC-Net: Classification of Auscultation Sounds on an Edge Device
Eray Mutlu, Valid Hüseyin, Görkem Serbes. Intelligent Methods, Systems, and Applications (IMSA), 2023. Cites: paper

Deep imputation of missing values in time series health data: A review with benchmarking
Maksims Kazijevs, Manar D. Samad. Journal of Biomedical Informatics, 2023. Cites: paper

How to compute the minimum diagonal length of recurrence quantifiers to optimize their sensitivity to deterministic and stochastic properties
Felipe Eduardo Lopes da Cruz, S. R. Lopes, Thiago de Lima Prado. Chaos Solitons & Fractals, 2023. Cites: paper

A new approach to phonocardiogram severity analysis
Imane Debbal, Lotfi Hamza Cherif, Baakek Yettou Nour El Houda. Journal of Medical Engineering & Technology, 2023. Cites: paper

Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring
Yue Rong, Matthew Fynn, Sven Erik Nordholm et al. IEEE Statistical Signal Processing Workshop (SSP), 2023. Cites: paper

An end-end arrhythmia diagnosis model based on deep learning neural network with multi-scale feature extraction
Jiahao Li, Luo Shuixian, You Keshun et al. Physical and Engineering Sciences in Medicine, 2023. Cites: paper

Classification of Heart Sounds Using Machine Learning
Nathaniel Mastracci, Farnaz Derakhshan, Edward R. Sykes et al. IEEE International Conference on Digital Health (ICDH), 2023. Cites: paper

CNN-based classification of phonocardiograms using fractal techniques
Daniel Riccio, Nadia Brancati, Giovanna Sannino et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Penerapan Evidence Based Practice Nursing ( EBPN ) Elevasi Kaki terhadap Penurunan Foot Edema pada Pasien Congestive Heart Failure (CHF)
Elidia Dewi, Wati Jumiati, Melati Fajarini. Journal of Telenursing (JOTING), 2023. Cites: paper

Research process on deep learning methods for heart sounds classification
Weifeng Wu, Yongqian Zhang, Qianfeng Xu et al. Progress in Medical Devices, 2023. Cites: paper

Heart sounds classification: Application of a new CyTex inspired method and deep convolutional neural network with transfer learning
Ali Harimi, Mehdi Ameri, Sayani Sarkar et al. Smart Health, 2023. Cites: paper

A New Method for Heart Disease Detection: Long Short-Term Feature Extraction from Heart Sound Data
Mesut Güven, Fatih Uysal. Sensors, 2023. Cites: paper

Heart Sound Classification using Deep Learning
Marija Habijan, Irena Galić, Aleksandra Pižurica. International Conference on Smart and Sustainable Technologies (SpliTech), 2023. Cites: paper

Parameter-Efficient Densely Connected Dual Attention Network for Phonocardiogram Classification
Keying Ma, Jianbo Lu, Benzhuo Lu. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

LungHeart-AtMe: Adventitious Cardiopulmonary Sounds Classification Using MMoE with STFT and MFCCs Spectrograms
Changyan Chen, Qing Zhang, Shirui Sheng et al. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. Cites: paper

Design and development of electronic stethoscope for early screening of valvular heart disease prediction
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal. Biomedical Signal Processing and Control, 2023. Cites: paper

A robust sliding window adaptive filtering technique for phonocardiogram signal denoising
Vishwanath Madhava Shervegar. Expert Systems, 2023. Cites: paper

Cited by