Computational Pulse Signal Analysis

This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Zhang, David (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Zuo, Wangmeng (http://id.loc.gov/vocabulary/relators/aut), Wang, Peng (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.