| Summary: | 博士 === 朝陽科技大學 === 資訊管理系博士班 === 102 === Arteriosclerosis must be detected and treated in its early stage to prevent the occurrence of cardiovascular disease. Particularly, this disease is prone to befall the carotid and coronary arteries. Early detection will help reduce the severity of the disease as the complications have caused a high mortality, so it is the prime task to develop the new technology for early diagnosis or new technique for examination at this moment.
This study adopted the non-invasive pressure sensor to measure the radial artery of atherosclerosis patients, analyze the radial artery pressure waveform, and calculate the spring constant. Furthermore, the spring constant, the carotid ultrasound index detected in the hospital and atherothrombotic risk factors (age, blood pressure, blood lipids, diabetes, and smoking) were analyzed.
We collected sixty cases. The binary classification of ROC curve analysis was used to analyze the relationship between the spring constant and the abnormality of carotid artery index. The area under ROC curve up to 0.605 > 0.5 (AUC= 0.605 ± 0.077) indicates that the detected spring constant is a good determinant against right ICA/CCA index. The area under the ROC curve up to 0.504 > 0.5 (AUC=0.504 ± 0.079) indicates that the detected spring constant is a preliminary determinant against left ICA/CCA index. Regarding CCA index, the area under the ROC curve increases up to 0.727 > 0.5 (AUC = 0.727 ± 0.076), and that indicates the spring constant a good discernment for carotid abnormality.
The verification of such spring constant can be applied for the patients with carotid disorder. Furthermore, the spring constant can be an indicator for atherosclerosis patients. Because the spring constant is a fast as well as effective method, it is hoped that the result can be of use to medical professionals and sheds some light to non-invasive arteriosclerosis diagnosis as well as lift medical quality.
|
|---|
