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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
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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.