title: [The feature extraction of hypertension based on wavelet transform].
abstract: This paper carries out the multi-scale decomposition of pulse signals on different frequency bands by wavelet transform, and the analysis of power spectral density shows that the detailed signal energy of the fourth layer mainly concentrates on the 3-5 Hz, while the energy of the fifth layer concentrating on the 1-3 Hz. Through calculating the energy, the experimental results show that: the hypertension signal energy of 3-5 Hz band increases significantly, compared with the normal signals.
authors.affiliation: School of Electronic Information, Hangzhou Dianzi University, Hangzhou, Zhejiang, China. zhxun@hdu.edu.cn
authors.forename: Xun
authors.initials: X
authors.lastname: Zhang
authors.forename: Panpan
authors.initials: P
authors.lastname: Du
mesh_terms: D006973:Hypertension / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis