Myocardial Ischemia Diagnosis Based on Harmonics Features of Pulse Wave and Fuzzy Clusteringi

• Main Authors: lin chih chung, 林志忠
• Other Authors: chang kang ming
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/98026019719440233149

碩士 === 亞洲大學 === 電腦與通訊學系碩士班 === 95 === In recent years, people have changed their eating habit with economic culture and improvement of the living standard in Taiwan. Because having too much salt and fat, the heart disease has already become one of the top ten major death reasons. And myocardial ischemia diagnosis is typical symptom of heart disease. According to myocardial ischemia diagnosis, we can diagnose whether the patients have the heart disease or not. Many myocardial ischemia patients whose electrocardiogram is normal when they have a rest, the reason is supplying oxygen to heart is enough for heart working. Therefore, the electrocardiogram will not show the situation of myocardial ischemia. But doing difference exercise that they can not load, the electrocardiogram will show the situation of myocardial ischemia. So the traditional diagnosis needs to use the exercise tolerance testing. And the electrocardiograms have a record for a long time of 24 or 48 hours. If we can find a method which is more convenient than traditional methods, it will be good news for patients. This study’s purpose is to use pulse wave and find out pulse wave’s harmonics features and form factor. It can be established one classification perform algorithm to diagnose myocardial ischemia diagnosis by FCM. The result of harmonics features is 61%, and form factor is 18%. Harmonics and form factor of categorised line are 50%. According to this data, this study will be helpful about heart disease in the future.