Ontology highlight
ABSTRACT:
SUBMITTER: Wu HT
PROVIDER: S-EPMC4909275 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Wu Hau-Tieng HT Wu Han-Kuei HK Wang Chun-Li CL Yang Yueh-Lung YL Wu Wen-Hsiang WH Tsai Tung-Hu TH Chang Hen-Hong HH
PloS one 20160615 6
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 recorde ...[more]