Summary: | 碩士 === 中原大學 === 醫學工程研究所 === 93 === Arterial stiffness has been regarded as a predictor of cardiovascular disease. Traditional invasive measurement of arterial stiffness was not only time consuming, but also stressful to patients. The newly developed non-invasive methods, such as the Pulse Wave Velocity (PWV), and Arterial Stiffness Index (ASI) measurement, are derived from the blood pressure pulse and ECG waves. These novel techniques provide simple, time-saving ways with clinical significance in evaluation of arterial stiffness.
In this research, a non-invasive arterial stiffness measurement and analysis system has developed. The system integrated the oscillometric blood pressure measurement and ECG signal processing to yield the R-P Interval (RPI) and ASI. The RPI is similar to PWV, except the only the relative time difference between R wave and blood pressure pulse is derived. The system is consisting of a portable device and data analysis workstation. The portable device acquires ECG and wrist cuff blood pressure signal, and then calculates the HR, blood pressure, ASI, and RPI information. It can operate along and is ready to use as a homecare device. The analysis workstation real-timely received the signals for the portable device. It sequentially displays the signals, and processed the indexes simultaneously. The workstation not only verifies the accuracy of the portable device, it also provides post analysis functions. The longitudinal trend plots of each patient can be retrieved and displayed from an accompanied database. The workstation offers a comprehensive graphical user interface so that medical staffs can easily conceive patients condition through the statistics charts and signals plots..
The test results shown the blood pressure and HR measurement are highly correlated with the results with commercial available blood pressure monitor (Systolic: R=0.81, p< 0.0001; Diastolic: r=0.71, p<0.0001; HR: p<0.0001). The variance of repeated measurement (Systolic: 2.9%, Diastolic: 5.43%, HR: 4.92%, ASI: 13.88%, RPI: 2.51%) revealed the system is stable. The variance with three different operators on the same subject (SP: 3.80%, DP: 6.57%, HR: 7.26%, ASI: 13.83%, RPI: 6.03%) further proved the stability is operator independent.
This research offers a long-term and multi-dimensional methodology in evaluation of arterial stiffness. The integrated system can provide traces to take early intervention in prevention of cardiovascular diseases. Furthermore, physicians can use the system non-invasively assess the patients’ cardiovascular status and judge the effectiveness of treatment.
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Keywords: arterial stiffness, PWV, ASI, RPI
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