Computational Pulse Signal Analysis
David / Zuo Zhang
Résumé
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 scheme.
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 scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastly it discusses some promising directions for the future study and clinical applications of pulse signal analysis. The book is a valuable resource for researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research.
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.
Wangmeng Zuo is currently a professor at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. His research interests include discriminative learning, deep learning, image modeling and low-level vision, and biometrics. Dr. Zuo has published more than 50 papers in leading academic journals and at top-tier conferences. Dr. Zuo is an associate editor of the IET Biometrics, guest editor of Neurocomputing, Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Neural Networks and Learning Systems. He has co-authored a book on medical biometrics and another book on biometrics. He is a senior member of IEEE.
Peng Wang is currently a lecturer at the School of Science, Northeast Agricultural University, Harbin, China. He received his B.S. degree in Information and Computing Science from Harbin Normal University, Harbin, China, in 2007, and the M.S. degree in Computer Science from the Harbin Institute of Technology, Harbin in 2009. From September 2009 to December 2009, he was a research assistant at the Department of Computing, Hong Kong Polytechnic University. His research interests include computerized medical diagnosis, pattern recognition, machine learning, and biometrics. Dr. Wang has published more than 20 papers in leading academic journals and conferences.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Apress |
| Auteur(s) | David / Zuo Zhang |
| Parution | 10/12/2017 |
| Nb. de pages | 328 |
| EAN13 | 9789811040436 |
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