{"title":"基于ICA神经网络的心脏运动评价疾病诊断","authors":"M. Mansoory, M. Ashtiyani, H. N.","doi":"10.1109/IACSIT-SC.2009.117","DOIUrl":null,"url":null,"abstract":"In this paper, we used ICA based artificial neural network (ANN) and propose a robust technique for efficient 2D echocardiography image analyzing.This project can be divided in three parts. The first part is cardiac motion estimation from sequence of echocardiography. The second part is feature extraction from motion patterns using sources, these sources is derived from Independent Component Analyzing (ICA) algorithm. The third part is the classification of normal and abnormal myocardial function using neural network.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Cardiac Motion Evaluation for Disease Diagnosis Using ICA Basis Neural Network\",\"authors\":\"M. Mansoory, M. Ashtiyani, H. N.\",\"doi\":\"10.1109/IACSIT-SC.2009.117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we used ICA based artificial neural network (ANN) and propose a robust technique for efficient 2D echocardiography image analyzing.This project can be divided in three parts. The first part is cardiac motion estimation from sequence of echocardiography. The second part is feature extraction from motion patterns using sources, these sources is derived from Independent Component Analyzing (ICA) algorithm. The third part is the classification of normal and abnormal myocardial function using neural network.\",\"PeriodicalId\":286158,\"journal\":{\"name\":\"2009 International Association of Computer Science and Information Technology - Spring Conference\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Association of Computer Science and Information Technology - Spring Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACSIT-SC.2009.117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Association of Computer Science and Information Technology - Spring Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACSIT-SC.2009.117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cardiac Motion Evaluation for Disease Diagnosis Using ICA Basis Neural Network
In this paper, we used ICA based artificial neural network (ANN) and propose a robust technique for efficient 2D echocardiography image analyzing.This project can be divided in three parts. The first part is cardiac motion estimation from sequence of echocardiography. The second part is feature extraction from motion patterns using sources, these sources is derived from Independent Component Analyzing (ICA) algorithm. The third part is the classification of normal and abnormal myocardial function using neural network.