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

Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features
Wei Chen, Zixuan Zhou, Junze Bao et al. Bioengineering, 2023. Cites: paper

Time-Frequency distributions of heart sound signals: A Comparative study using convolutional neural networks
Xinqi Bao, Yujia Xu, Hak‐Keung Lam et al. Biomedical Engineering Advances, 2023. Cites: paper

Assisting Heart Valve Diseases Diagnosis via Transformer-Based Classification of Heart Sound Signals
Dongru Yang, Yi Lin, Jianwen Wei et al. Electronics, 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: paper

ARSteth: Enabling Home Self-Screening with AR-Assisted Intelligent Stethoscopes
Kaiyuan Hou, Stephen Xia, Emily Bejerano et al. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2023. Cites: paper

Heart sounds: Past, present, and future from a technological and clinical perspective – a systematic review
Ayesha Azmeen, Hamid Vakilzadian, Hani Haider et al. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, 2023. Cites: paper

A Causal Intervention Scheme for Semantic Segmentation of Quasi-Periodic Cardiovascular Signals
Xingyao Wang, Yuwen Li, Hongxiang Gao et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Design of ear-contactless stethoscope and improvement in the performance of deep learning based on CNN to classify the heart sound
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal. Medical & Biological Engineering & Computing, 2023. Cites: paper

Policy gradient empowered LSTM with dynamic skips for irregular time series data
Philip B. Weerakody, Kok Wai Wong, Guanjin Wang. Applied Soft Computing, 2023. Cites: paper

AI-Doctor - A Machine Learning Aided Health Monitoring system by analyzing sound signals
Nimai Chand Das Adhikari, Arpana Alka. International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2023. Cites: paper

AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification
Junbin Zang, Cheng Lian, Bingrong Xu et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Cardiovascular Disease Detection Based on Multi-Modal Data Fusion and Multi-Branch Residual Network
Jia Yuan Zhu, Hui Liu, Xiao Wei Liu. International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2023. Cites: paper

Classification of Normal and Abnormal Heart Sounds Using Empirical Mode Decomposition and First Order Statistic
Hilman Fauzi, Achmad Rizal, Mazaya 'Aqila et al. Journal of Electronics Electromedical Engineering and Medical Informatics, 2023. Cites: paper

Exploring the impact of noise and degradations on heart sound classification models
Davoud Shariat Panah, Andrew Hines, Susan McKeever. Biomedical Signal Processing and Control, 2023. Cites: paper

Transfer learning based heart valve disease classification from Phonocardiogram signal
Arnab Maity, Akanksha Pathak, Goutam Saha. Biomedical Signal Processing and Control, 2023. Cites: paper

An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT)
Sonain Jamil, Arunabha Mohan Roy. Computers in Biology and Medicine, 2023. Cites: paper

Simple and Powerful PCG Classification Method Based on Selection and Transfer Learning for Precision Medicine Application
Ahmed Barnawi, Mehrez Boulares, Rim Somai. Bioengineering, 2023. Cites: paper

Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models
Sunil Kumar Prabhakar, Dong-Ok Won. Expert Systems with Applications, 2023. Cites: paper

A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification
Junxin Chen, Zhihuan Guo, Xu Xu et al. IEEE Transactions on Computational Biology and Bioinformatics, 2023. Cites: paper

DS-CNN: Dual-Stream Convolutional Neural Networks-Based Heart Sound Classification for Wearable Devices
Zhihuan Guo, Junxin Chen, Tongyue He et al. IEEE Transactions on Consumer Electronics, 2023. Cites: paper

Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization
Theekshana Dissanayake, Tharindu Fernando, Simon Denman et al. Pattern Recognition, 2023. Cites: paper

RETRACTED: A Novel Deep Learning CNN for Heart Valve Disease Classification Using Valve Sound Detection
Randa Aljohani, Hanan A. Hosni Mahmoud, Alaaeldin M. Hafez et al. Electronics, 2023. Cites: paper

Classifying the heart sound signals using textural‐based features for an efficient decision support system
Kriti Taneja, Vinay Arora, Karun Verma. Expert Systems, 2023. Cites: paper

Fusing handcrafted and deep features for multi-class cardiac diagnostic decision support model based on heart sound signals
Mohammad Jabari, Khosro Rezaee, Manizheh Zakeri. Journal of Ambient Intelligence and Humanized Computing, 2023. Cites: paper

Combined empirical mode decomposition and phase space reconstruction based psychologically stressed and non-stressed state classification from cardiac sound signals
Amandeep Kaur Cheema, Mandeep Singh, Mohit Kumar et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Early Screening of Valvular Heart Disease Prediction using CNN-based Mobile Network
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal. International Conference on Computer, Electrical & Communication Engineering (ICCECE), 2023. Cites: paper

Exploring interpretable representations for heart sound abnormality detection
Zhihua Wang, Kun Qian, Houguang Liu et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers
Yang Chen, Bo Su, Wei Zeng et al. Multimedia Tools and Applications, 2023. Cites: paper

Optimal Heart Sound Segmentation Algorithm Based on K-Mean Clustering and Wavelet Transform
Xingchen Xu, Xingguang Geng, Zhixing Gao et al. Applied Sciences, 2023. Cites: paper

Heart function grading evaluation based on heart sounds and convolutional neural networks
Xiao Chen, Xingming Guo, Yineng Zheng et al. Physical and Engineering Sciences in Medicine, 2023. Cites: paper

Advanced Deep Learning for Heart Sounds Classification
Muhammad Salman Khan, Faiq Ahmad Khan, Kaleem Nawaz Khan et al. Studies in computational intelligence, 2023. Cites: paper

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise
Shams Nafisa Ali, Samiul Based Shuvo, Muhammad Ishtiaque Sayeed Al-Manzo et al. IEEE Access, 2023. Cites: paper

A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net
Sania Gul, Muhammad Salman Khan. IEEE Access, 2023. Cites: paper

A Survey on Artificial Intelligence-Based Acoustic Source Identification
Ruba Zaheer, Iftekhar Ahmad, Daryoush Habibi et al. IEEE Access, 2023. Cites: paper

Automated Detection of Heart Valve Diseases Using Stationary Wavelet Transform and Attention-Based Hierarchical LSTM Network
Samarjeet Das, Debasish Jyotishi, Samarendra Dandapat. IEEE Transactions on Instrumentation and Measurement, 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

Clinical Decision Support System Using a Machine Learning Model to Assist Simultaneous Cardiopulmonary Auscultation: Open-Label Randomized Controlled Trial
Takanobu Hirosawa, Tetsu Sakamoto, Yukinori Harada et al. SSRN Electronic Journal, 2023. Cites: paper

Conv-Random Forest-Based IoT: A Deep Learning Model Based on CNN and Random Forest for Classification and Analysis of Valvular Heart Diseases
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal. IEEE Open Journal of Instrumentation and Measurement, 2023. Cites: paper

Deep Autoencoder Neural Networks for Heart Sound Classification
Bhakti Kaushal, Smitha Raveendran, Mukesh D. Patil et al. Medical virology, 2023. Cites: paper

Empirical review on heart failure detection techniques using heart sound
Namrata Gawande, Dinesh Goyal. AIP conference proceedings, 2023. Cites: paper

Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models
Davoud Shariat Panah, Andrew Hines, Susan McKeever. IEEE Access, 2023. Cites: paper

Feature Selection Algorithms Highlight the Importance of the Systolic Segment for Normal/Murmur Pcg Beat Classification
Rima Touahria, Abdenour Hacine-Gharbi, Philippe Ravier. Biomedical Signal Processing and Control, 2023. Cites: paper

Heart sounds classification using adaptive wavelet threshold and 1D LDCNN
Jianqiang Hu, Qingli Hu, Mingfeng Liang. Computer Science and Information Systems, 2023. Cites: paper

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

Internet Services Maturity in Ethiopia: Impacts on the Digitaleconomy and Identification of Areas for Improvement with Policy Recommendations
Getahun Wassie Geremew, Yihenew Wondie, Bekalu Anagaw et al. SSRN Electronic Journal, 2023. Cites: paper

Le-LWTNet: A Learnable Lifting Wavelet Convolutional Neural Network for Heart Sound Abnormality Detection
Junchao Fan, Shizhan Tang, Han Ming Duan et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

Robust Denoising of Phonocardiogram Signals using Time-Frequency Analysis and U-Nets
Cristóbal González–rodríguez, Miguel Alonso, Eloísa García–Canseco. IEEE Access, 2023. Cites: paper

The utility of phonocardiograms in real-time remote cardiac auscultation using an internet-connected electronic stethoscope: Open-label randomized controlled pilot trial
Takanobu Hirosawa, Takahiro Ito, Yukinori Harada et al. Digital Health, 2023. Cites: paper

The Voice of the Body: Why AI Should Listen to It and an Archive
Kun Qian, Bin Hu, Yoshiharu Yamamoto et al. Cyborg and Bionic Systems, 2023. Cites: paper

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

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