Cargando…
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...
Autores principales: | Wu, Hau-Tieng, Wu, Han-Kuei, Wang, Chun-Li, Yang, Yueh-Lung, Wu, Wen-Hsiang, Tsai, Tung-Hu, Chang, Hen-Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909275/ https://www.ncbi.nlm.nih.gov/pubmed/27304979 http://dx.doi.org/10.1371/journal.pone.0157135 |
Ejemplares similares
-
Evaluating Physiological Dynamics via Synchrosqueezing: Prediction of Ventilator Weaning
por: Wu, Hau-Tieng, et al.
Publicado: (2013) -
Autodetection of J Wave Based on Random Forest with Synchrosqueezed Wavelet Transform
por: Li, Dengao, et al.
Publicado: (2018) -
Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum
por: Sandoval, Steven, et al.
Publicado: (2022) -
Local maximum synchrosqueezes form scaling-basis chirplet transform
por: Hou, Yating, et al.
Publicado: (2022) -
Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
por: Chen, Jingcheng, et al.
Publicado: (2023)