Myocardial Ischemia Detection using Hidden Markov Principal Component Analysis

被引：0

作者：

Alvarez, M. ^{[1
]}

Henao, R. ^{[2
]}

Orozco, A. ^{[1
]}

机构：

[1] Univ Tecnol Pereira, Program Elect Engn, La Julita, Pereira, Colombia

[2] Univ Tecnol Pereira, Sch Elect Engn, Pereira, Colombia

来源：

IV LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING 2007, BIOENGINEERING SOLUTIONS FOR LATIN AMERICA HEALTH, VOLS 1 AND 2 | 2008年 / 18卷 / 1,2期

关键词：

Hidden Markov Model; Principal Component Analysis; Myocardial Ischemia;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper introduces a new temporal version of Principal Component Analysis by using a Hidden Markov Model in order to obtain optimized representations of observed data through time. The novelty of the proposed method consists mainly in the way in which a static dimensionality reduction technique has been combined with a classic mixture model in time, to enhance the capabilities of dimensionality reduction and classification of myocardial ischemia data. Experimental results show improvements in classification accuracies even with highly reduced representations.

引用

页码：99 / +

页数：3

共 50 条

[41] FAULT DETECTION AND ISOLATION WITH ROBUST PRINCIPAL COMPONENT ANALYSIS
Tharrault, Yvon
Mourot, Gilles
Ragot, Jose
Maquin, Didier
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2008, 18 (04) : 429 - 442
[42] Detection of minute chemical signals by principal component analysis
Hasegawa, T
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2001, 20 (02) : 53 - 64
[43] Biological agent detection based on principal component analysis
Mudigonda, Naga R.
Kacelenga, Ray
CHEMICAL AND BIOLOGICAL SENSING VII, 2006, 6218
[44] Texture analysis of images using Principal Component Analysis
Bharati, MH
MacGregor, JF
PROCESS IMAGING FOR AUTOMATIC CONTROL, 2001, 4188 : 27 - 37
[45] Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
Russell, EL
Chiang, LH
Braatz, RD
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2000, 51 (01) : 81 - 93
[46] Credit card fraud detection using hidden Markov model
Srivastava, Abhinav
Kundu, Amlan
Sural, Shamik
Majumdar, Arun K.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2008, 5 (01) : 37 - 48
[47] ANOMALY NETWORK INTRUSION DETECTION USING HIDDEN MARKOV MODEL
Chen, Chia-Mei
Guan, Dah-Jyh
Huang, Yu-Zhi
Ou, Ya-Hui
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2016, 12 (02): : 569 - 580
[48] Attack Sequence Detection in Cloud Using Hidden Markov Model
Chen, Chia-Mei
Guan, D. J.
Huang, Yu-Zhi
Ou, Ya-Hui
PROCEEDINGS OF THE 2012 SEVENTH ASIA JOINT CONFERENCE ON INFORMATION SECURITY (ASIAJCIS 2012), 2012, : 100 - 103
[49] Fault detection and diagnosis of multiphase batch process based on kernel principal component analysis-principal component analysis
Qi, Yong-Sheng
Wang, Pu
Gao, Xue-Jin
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2012, 29 (06): : 754 - 764
[50] Collusion set detection using a quasi hidden Markov model
Wu, Zhengxiao
Wu, Xiaoyu
STATISTICS AND ITS INTERFACE, 2013, 6 (01) : 53 - 64

← 1 2 3 4 5 →