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Computational Pulse Signal Analysis

Computational Pulse Signal Analysis

by David ZhangWangmeng Zuo and Peng Wang
Paperback
Publication Date: 20/10/2019

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1. Introduction: Computational Pulse Diagnosis.- 2. Compound Pressure Signal Acquisition.- 3. Pulse Signal Acquisition Using Multi-Sensors.- 4. Baseline Wander Correction in Pulse Waveforms Using Wavelet-Based Cascaded Adaptive Filter.- 5. Detection of Saturation And Artifact.- 6. Optimized Preprocessing Framework for Wrist Pulse Analysis.- 7. Arrhythmic Pulses Detection.- 8. Spatial and Spectrum Feature Extraction.- 9. Generalized Feature Extraction for Wrist Pulse Analysis: from 1-D Time Series to 2-D Matrix.- 10. Characterization of Inter-Cycle Variations for Wrist Pulse Diagnosis.- 11. Edit Distance for Pulse Diagnosis.- 12. Modified Gaussian Models and Fuzzy C-Means.- 13. Modified Auto-Regressive Models.- 14. Combination of Heterogeneous Features for Wrist Pulse Blood Flow Signal Diagnosis via Multiple Kernel Learning.- 15. Comparison of Three Different Types of Wrist Pulse Signals.- 16. Comparison Between Pulse And Ecg.- 17. Disscusion and Future Work.

ISBN:
9789811338359
9789811338359
Category:
Medicine
Format:
Paperback
Publication Date:
20-10-2019
Language:
English
Publisher:
Springer
Country of origin:
United States
Dimensions (mm):
233.93x155.96x18.29mm
Weight:
0.53kg

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