A Hybrid System with Hidden Markov Models and Gaussian Mixture Models for Myocardial Infarction Classification with 12-Lead ECGs

碩士 === 元智大學 === 資訊管理學系 === 97 === This study presented a new diagnosis system with integrating 12-lead ECG data into a density model for increasing accuracy rate and flexibility of diseases detection. A hybrid system with HMMs and GMMs was employed for data classification. For myocardial infarction,...

Full description

Bibliographic Details
Main Authors: Yen-Hung Chou, 周晏弘
Other Authors: 張百棧
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/58634222910591832956