DocumentCode
3572380
Title
Time-frequency analysis of blood pressure and flow signals in Spontaneously Hypertensive Rats and Wistar Kyoto Rats
Author
Zi-wei Zhang ; Miao Yu ; Xiao-xu Zheng ; Kai-Rong Qin
Author_Institution
Dept. of Biomed. Eng., Dalian Univ. of Technol., Dalian, China
fYear
2014
Firstpage
531
Lastpage
536
Abstract
In this paper, the Wavelet Transform (WT) and Hilbert-Huang Transform (HHT) are adopted to analyze the blood flow signals in the common carotid arteries and the blood pressure signals in the ipsilateral common femoral arteries in Spontaneously Hypertensive Rats (SHRs) and Wistar Kyoto Rats (WKYs). Five characteristic peaks are extracted and compared by t-test to assess the physiological differences between SHRs and WKYs. It is found that both WT and HHT can reveal five characteristic frequencies, corresponding to the cardiac, respiratory, myogenic, neural and endothelial cell activity, and HHT has better frequency resolution than WT in the low frequency band (0-0.1Hz).The signal energy and signal amplitude for SHRs´ cardiac, respiratory and endothelial cell activities are significantly lower in comparison with those of WKYs. Compared with the results of blood pressure signals, more distinct characteristics could be obtained from the blood flow signals. Thus, it could be concluded that the blood flow signals contain more useful information than the blood pressure signals do.
Keywords
Hilbert transforms; blood flow measurement; blood pressure measurement; blood vessels; cardiovascular system; cellular biophysics; medical disorders; time-frequency analysis; wavelet transforms; HHT; Hilbert-Huang Transform; SHR; WKY; WT; Wavelet Transform; Wistar Kyoto rats; blood flow signals; blood pressure signals; cardiac activity; carotid arteries; endothelial cell activity; frequency 0 Hz to 0.1 Hz; frequency resolution; ipsilateral common femoral arteries; myogenic activity; neural activity; physiological differences; respiratory activity; signal amplitude; signal energy; spontaneously hypertensive rats; t-test; time-frequency analysis; Automation; Blood flow; Intelligent control; Rats; Wavelet transforms; Hilbert-Huang transform; blood flow signals; blood pressure signals; spontaneously hypertensive rats; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type
conf
DOI
10.1109/WCICA.2014.7052769
Filename
7052769
Link To Document