Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform.
We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory physiological signals. To demonstrate how the model and algorithm work, we apply them to study the pulse wave signal. By extracting features called the spectral pulse signature, and based on functional regression, we characterize the hemodynamics from the radial pulse wave signals recorded by the sphygmomanometer. Analysis results suggest the potential of the proposed signal processing approach to extract health-related hemodynamics features.
Department of Mathematics, University of Toronto, Toronto, Ontario, Canada.
Hau-Tieng
HT
Wu
Institute of Traditional Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.|Department of Chinese Medicine, Taiwan Landseed Hospital, Tao-Yuan, Taiwan.
Han-Kuei
http://orcid.org/0000-0002-9456-1751
HK
Wu
Cardiovascular Division, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan. College of Medicine, Chang Gung University, Taiyuan, Taiwan.
Chun-Li
CL
Wang
Center for Traditional Chinese Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan.
Yueh-Lung
YL
Yang
Department of Healthcare Management, Yuanpei University of Medical Technology, Hsinchu, Taiwan.
Wen-Hsiang
WH
Wu
Institute of Traditional Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Tung-Hu
TH
Tsai
School of Post-Baccalaureate Traditional Chinese Medicine, and Research Center for Chinese Medicine and Acupuncture, China Medical University, Taichung, Taiwan.|Departments of Chinese Medicine, China Medical University Hospital, Taichung, Taiwan.
Hen-Hong
HH
Chang
D000465:Algorithms; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D008955:Models, Cardiovascular; D011674:Pulse; D063177:Pulse Wave Analysis / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D019722:Sphygmomanometers