Research on Classification of Scoliosis Based on Pulse Signal under Dynamic Pressure
Author:
Affiliation:
1. Peking University Shenzhen Graduate School,The Key Laboratory of Integrated Microsystems,Shenzhen,China
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10081934/10081946/10082026.pdf?arnumber=10082026
Reference9 articles.
1. Supervised learning methods for pathological arterial pulse wave differentiation: A SVM and neural networks approach
2. Applying Pulse Spectrum Analysis to Facilitate the Diagnosis of Coronary Artery Disease
3. A physiological data‐driven model for learners' cognitive load detection using HRV‐PRV feature fusion and optimized XGBoost classification
4. Radial artery pulse waveform analysis based on curve fitting using discrete Fourier series
5. Introduction and reflection on the current status of objectification of Chinese pulse diagnosis;hong;J Traditional Chinese Med,2016
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