ENGLISH

Computational Pulse Signal Analysis

Book information

Publisher
Springer Singapore
Year
2018
ISBN
978-981-10-4043-6;978-981-10-4044-3
Language
english
Format
PDF
Filesize
14 MB (14764973 bytes)
Edition
1st ed.
Pages
XIV, 328\328
Time added
2019-01-12 08:08:36

Description

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. Front Matter ....Pages i-xiv Front Matter ....Pages 1-1 Introduction: Computational Pulse Diagnosis (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 3-10 Front Matter ....Pages 11-11 Compound Pressure Signal Acquisition (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 13-34 Pulse Signal Acquisition Using Multi-sensors (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 35-62 Front Matter ....Pages 63-63 Baseline Wander Correction in Pulse Waveforms Using Wavelet-Based Cascaded Adaptive Filter (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 65-90 Detection of Saturation and Artifact (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 91-107 Optimized Preprocessing Framework for Wrist Pulse Analysis (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 109-132 Front Matter ....Pages 133-133 Arrhythmic Pulse Detection (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 135-155 Spatial and Spectrum Feature Extraction (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 157-167 Generalized Feature Extraction for Wrist Pulse Analysis: From 1-D Time Series to 2-D Matrix (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 169-189 Characterization of Inter-Cycle Variations for Wrist Pulse Diagnosis (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 191-213 Front Matter ....Pages 215-215 Edit Distance for Pulse Diagnosis (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 217-230 Modified Gaussian Models and Fuzzy C-Means (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 231-246 Modified Auto-regressive Models (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 247-259 Combination of Heterogeneous Features for Wrist Pulse Blood Flow Signal Diagnosis via Multiple Kernel Learning (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 261-278 Front Matter ....Pages 279-279 Comparison of Three Different Types of Wrist Pulse Signals (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 281-300 Comparison Between Pulse and ECG (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 301-318 Discussion and Future Work (David Zhang, Wangmeng Zuo, Peng Wang)....Pages 319-323 Back Matter ....Pages 325-328

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