Pulse signal feature research based on empirical mode decomposition

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

Volumn 30, Issue 3, 2009, Pages 596-602

  Xing, Hongyan ^a   Xu, Ruiqing ^a   Wang, Changsong ^b  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

EMD; Feature extraction; Hypertension; Pulse signal

Indexed keywords

EMD; EMPIRICAL-MODE DECOMPOSITIONS; ENERGY FEATURES; ENERGY RATIOS; FEATURE VECTORS; GOOD CORRELATIONS; HEALTHY PERSONS; HEALTHY STUDENTS; HYPERTENSION; K VALUES; NON-STATIONARY SIGNALS; PULSE SIGNAL; PULSE WAVES; THRESHOLD METHODS; TIME DOMAINS;

ACOUSTIC SIGNAL PROCESSING; TIME DOMAIN ANALYSIS;

FEATURE EXTRACTION;

EID: 65249084593     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Luo ZH CH, Zhang S, Yang Y M. Engineering Analysis for Pulse Wave and Its Application in Clinical Practice[M]. Beijing: Science Press, 2006:12-13.
2. Qian F, Liu Y. Blood pressure examination using oscillometric method[J]. Chinese Journal of Scientific Instrument, 2006, 27(S2):1534-1535.
3. Zhang J R, Yang T Q, Zheng X CH, et al. Analysis of sphygmograms and pulse patterns in radial arteries of healthy adults with transmission theory of pulse wave[J]. Chinese Journal of Biomedical Engineering, 1987, 6(3):168-173.
4. Lv Y J, Yang X. The research and design of portable medical measure equipment[J]. Chinese Journal of Scientific Instrument, 2005, 26(S2):484-489.
5. Zhang L Q, Wang B H. Feature extraction methods for pulse signal based on wavelet transform[J]. Journal of Data Acquisition & Processing, 2004, 19(3):323-328.
6. Li F F, Wang Y Q, Sun R, et al. Application of the HHT & time domain method to the wrist-pulse-signal analysis in patients of coronary heart disease[J]. Chinese Journal of Cardiovascular Review, 2008, 6(4):244-246.
7. Zhang J L, Lin Ch Y, Yang L, et al. Detection of waveform characteristic of pulse wave and analysis of its related partial hemodynamic changes[J]. Biomedical Engineering and Clinical Medicine, 2008, 12(2):104-107.
8. Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proc. R. Soc. Lond. A, 1998, 454:903-995.
9. Wang X Y, Jia R. Study on state monitoring and fault diagnosis of water-wheel generator set based on Hilbert-Huang Transform(HHT) and support vector machine[D]. Xi'an: Xi'an University of Technology, 2007:40-41.
10. Wang B H, Xiang J L. Experiment design and power-spectral characteristics of pulse signals[J]. Chinese Journal of Physical Medicine and Rehabilitation, 1998, 20(3):158-161.