Non-Invasive Measurement of Arterial Stiffness Using the Analysis of Oscillometric Waveform during Cuff-InflationKazuhiro Ide1*, Tomoya Kusakabe1, Atsuhiro Shimakura2 and Masanobu Takata2
- *Corresponding Author:
- Kazuhiro Ide
Home Appliances Development Center
Corporate Engineering Division, Appliances Company
Panasonic Corporation, Shiga, Japan
E-mail: [email protected]
Received Date: January 9, 2014; Accepted Date: February 12, 2014; Published Date: February 19, 2014
Citation: Ide K, Kusakabe T, Shimakura A, Takata M (2014) Non-Invasive Measurement of Arterial Stiffness Using the Analysis of Oscillometric Waveform during Cuff-Inflation. Angiol 2:123. doi:10.4172/2329-9495.1000123
Copyright: © 2014 Ide K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Background We developed the new method which is measured arterial stiffness simultaneously with blood pressure by oscillometry during cuff inflation, and evaluated usefulness of the index as a marker of cardiovascular disease.
Methods The cuff pressure pulse waves during linear cuff inflation were extracted by blood pressure measurement device in 97 outpatients with hypertension. The paired values of the cumulatively added cuff oscillation amplitudes and the corresponding cuff pressures are stored in the device during the measurement. Each of the cumulative addition value was exchanged to the ratio of total addition, and the cuff pressures, P0 and P1, corresponding to the ratios, R0 and R1, respectively, were used for calculation of the Cuff-Oscillometric Stiffness Parameter (CSP) which was defined as ln (P1/P0) / (R1/R0-1). Furthermore, we calculated the Modified Cuff-Oscillometric Stiffness Parameter (MCSP) using CSP, age, height and weight. We also measured Cardio-Ankle Vascular Stiffness Index (CAVI), the carotid Intima-Media Thickness (IMT), blood chemistry, and Framingham Risk Score (FRS) for coronary heart disease.
Results CSP was significantly correlated with CAVI(r= 0.608, p <0.0001). There were significant correlated with IMT, FRS. MCSP was closely correlated with CAVI(r= 0.803, p <0.0001). In addition, CSP, MCSP, and CAVI were associated with blood components as markers of diabetes.
Conclusions These results suggest that our new method is useful for the screening arteriosclerosis-related disease, and helpful for health care management in home because of easy to use, low cost, and short time measuring.