Pulse wave analysis for cardiovascular disease studies using Subendocardial Viability Ratio

Author

Jingjing Xia ; Liao, Shengcai

Author_Institution

Dept. of Appl. Comput. Sci., Univ. of Winnipeg, Winnipeg, MB, Canada

fYear

2014

fDate

4-7 May 2014

Firstpage

1

Lastpage

4

Abstract

In this research, pulse analysis is performed on the data of 241 subjects collected from Department of Cardiology at Shandong Provincial Hospital in China. By taking the dynamic curve fitting, dicrotic notch is located using the third derivatives of the fitted function. Subendocardial Viability Ratio (SEVR), Systolic Time Index (SPTI), and Diastolic Time Index (DPTI) are calculated among the evaluated subjects, and then correlated to ages, genders, and different cardiovascular diseases. The results indicate that with the increase of ages, SEVR decreases; females have lower SEVR than males; patients with coronary heart disease, hypertension, and angina pectoris have low SEVR, DPTI and SPTI; the average SEVR of heart failure patients is about 33% lower than the average.

Keywords

bioelectric potentials; cardiovascular system; curve fitting; diseases; angina pectoris; cardiovascular diseases; coronary heart disease; diastolic time index; dicrotic notch; dynamic curve fitting; heart failure patients; hypertension; pulse wave analysis; subendocardial viability ratio; systolic time index; Aging; Cardiovascular diseases; Heart; Hypertension; Indexes; Myocardium;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on

Conference_Location

Toronto, ON

ISSN

0840-7789

Print_ISBN

978-1-4799-3099-9

Type

conf

DOI

10.1109/CCECE.2014.6900954

Filename

6900954