Study of Feature Extraction Algorithms on Photoplethysmography (PPG) Signals to Detect Coronary Heart Disease
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/9862524/9862530/09862855.pdf?arnumber=9862855
Reference24 articles.
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2. Method for classifying cardiac arrhythmias using photoplethysmography
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4. Identifying coronary artery disease from photoplethysmogram
5. Accurate computing of facial expression recognition using a hybrid feature extraction technique
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