DocumentCode
27615
Title
Developing an Effective Arterial Stiffness Monitoring System Using the Spring Constant Method and Photoplethysmography
Author
Ching-Chuan Wei
Author_Institution
Dept. of Inf. & Commun. Eng., Chaoyang Univ. of Technol., Taichung, Taiwan
Volume
60
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
151
Lastpage
154
Abstract
This study aimed to develop a fast and effective arterial stiffness monitoring system for diabetic patients using the spring constant method and photoplethysmography (PPG). The experimental group comprised 70 patients (4 type 1 diabetes mellitus patients and 66 type 2 diabetes mellitus patients); 23 participants suffered from atherosclerosis. All were subjected to the measurements of both the carotid-femoral pulse wave velocity (cfPWV) and the spring constants evaluated using the PPG pulse as well as the radial pulse. The control group comprised 70 normal participants (39 men and 31 women) who did not have diabetes mellitus, with an age range of 40-84 years. All control group members were only subjected to the measurement by the spring constant method. For the experimental group, statistical analysis indicated a significantly high correlation between the spring constants computed using PPG and the radial pulse (p <; 0.001, correlation coefficient =0.89). The result also showed a significant negative correlation between the cfPWV and the spring constant of PPG (p <; 0.001, correlation coefficient = -0.72); multivariate analysis similarly indicated a close relationship. In addition, we used Student´s t test to examine the difference between the experimental and control groups for the spring constant of PPG. A P value less than 0.05 confirmed that the difference between the two groups was statistically significant. In the receiver operating characteristic curve, area under curve (=0.82) indicates a good discrimination, and a spring constant of PPG below 516 (g/s2) may imply a risk of arterial stiffness for diabetic patients. These findings imply that the spring constant of PPG could effectively identify normal versus abnormal characteristics of elasticity in normal and diabetic participants. As a result of some excellent characteristics in clinical monitoring, the spring constant computed using PPG shows the effectiveness and feasibility in the mon- toring system of arterial stiffness.
Keywords
biomechanics; blood vessels; diseases; elasticity; patient monitoring; photoplethysmography; statistical analysis; PPG; Student t test; atherosclerosis; carotid-femoral pulse wave velocity; cfPWV; clinical monitoring; diabetic patients; effective arterial stiffness monitoring system; multivariate analysis; photoplethysmography; radial pulse; receiver operating characteristic curve; spring constant method; statistical analysis; type 1 diabetes mellitus; type 2 diabetes mellitus; Arteries; Atmospheric measurements; Correlation; Diabetes; Elasticity; Monitoring; Springs; Arterial stiffness; carotid–femoral pulse wave velocity (cfPWV); diabetic patient; photoplethysmography (PPG); spring constant; Adult; Aged; Aged, 80 and over; Case-Control Studies; Diabetes Mellitus; Female; Humans; Male; Middle Aged; Monitoring, Physiologic; Multivariate Analysis; Photoplethysmography; Pulse Wave Analysis; Signal Processing, Computer-Assisted; Vascular Stiffness;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2012.2207384
Filename
6249735
Link To Document