Construct the System of Abnormal Analysis Using Lead I Data in ECG

• Main Authors: Lein, Bou-Hua, 連伯樺
• Other Authors: Jen, Chih-Hung
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/rw3d7r

碩士 === 龍華科技大學 === 資訊管理系碩士班 === 105 === Cardiovascular disease has always been one of the top ten deaths, and the heart is also one of the important organs of the human body, if the disease can be detected through portable instruments in advance, home testing is a trend. However, this paper uses a single guide ECG machine, a total of three methods combined, and finally to the actual operating system for the results. First, using experienced the empirical mode decomposition (EMD) for the ECG signals decompose into many Intrinsic Mode Function (IMF), then choice the best IMF combination to achieve the de-noising effect, then put the reset signal into (Multscale Entrop, MSE) to obtain eigenvalues to identify the normal and abnormal different places, finally in order to achieve automation, using "Hotelling's T-squared distribution" for distinguishing, finally combine the above whole methods then appear the complete system with web page.