Study of Feature Extraction Algorithms on Photoplethysmography (PPG) Signals to Detect Coronary Heart Disease

Author:

Ihsan Muhammad Fadhil1,Mandala Satria2,Pramudyo Miftah3

Affiliation:

1. Telkom University,School of Computing,Bandung,Indonesia

2. Telkom University,Human Centric (HUMIC) Engineering & School of Computing,Bandung,Indonesia

3. Unpad,Department of Cardiology and Vascular,Bandung,Indonesia

Publisher

IEEE

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Myocardial Infarction Detection Using Hybrid Deep Learning on Phonocardiogram Data;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

2. Prediction of Myocardial Infarction Using Convolutional Neural Network Method on Electrocardiogram Signal;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

3. Atrial Fibrillation Feature Extraction Algorithm on Multi Channel ECG Signals Using ECG Dynamic Features;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

4. Automated Heart Diagnostic System Using KNN, GNB, LR & Decision Tree;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01

5. Enhanced Face Recognition Intelligent System on Smart Home Security and Control with CNN;2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT);2023-11-23

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