@article{95180e9831e0490db1915e88d4771483,
title = "Modeling the pulse signal by wave-shape function and analyzing by synchrosqueezing transform",
abstract = "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.",
author = "Wu, {Hau Tieng} and Wu, {Han Kuei} and Wang, {Chun Li} and Yang, {Yueh Lung} and Wu, {Wen Hsiang} and Tsai, {Tung Hu} and Chang, {Hen Hong}",
note = "Funding Information: The authors are grateful for the support from the Committee on Chinese Medicine and Pharmacy of the Department of Health, Taiwan (CCMP93-RD-010) and China Medical University under the Aim for Top University Plan of the Ministry of Education, Taiwan. Publisher Copyright: {\textcopyright} 2016 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2016",
month = jun,
day = "1",
doi = "10.1371/journal.pone.0157135",
language = "English (US)",
volume = "11",
journal = "PloS one",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "6",
}