Non-Invasive Cardiac Poincare Analysis Based on Fiber Interferometer
Author:
Affiliation:
1. The Second Affiliated Hospital of Soochow University,Suzhou,China
2. Air Force Medical University,Shaanxi,China
3. School of Electronic and Information Engineering, Changshu Institute of Technology,Suzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10647222/10647223/10648451.pdf?arnumber=10648451
Reference13 articles.
1. Use of machine learning and Poincaré density grid in the diagnosis of sinus node dysfunction caused by sinoatrial conduction block in dogs
2. Examination of Cardiac Activity with ECG Monitoring Using Heart Rate Variability Methods
3. Poincare indices for analyzing meditative heart rate signals
4. Experimental evaluation of ECG signal denoising methods based on HRV indices and their application in indoor thermal comfort study under different temperatures
5. Classification of exercise fatigue levels by multi-class SVM from ECG and HRV
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