The Measure of Human Vital Signals Complexity by Matrix Analysis

被引：1

作者：

Bikulciene, Liepa ^{[1
]}

Venskaityte, Eurelija ^{[2
]}

Gargasas, Liudas ^{[2
,3
]}

Jurkonis, Vidmantas ^{[2
]}

机构：

[1] Kaunas Univ Technol, Fac Fundamental Sci, Dept Appl Math, Kaunas, Lithuania

[2] Lithuanian Univ Hlth Sci, Inst Cardiol, Lab Automat Cardiovas Invset, Kaunas, Lithuania

[3] Lithuanian Acad Phys Educ, Lab Kinesiol, Kaunas, Lithuania

来源：

CHAOS AND COMPLEX SYSTEMS | 2013年

关键词：

D O I：

10.1007/978-3-642-33914-1_63

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The subject of investigation is extraction of information from vital signals ( ECG, accelerometer, SpO2) and using it in diagnostics and assessment of status of human physiological state and complexity. The aim of this study is presentation of data recording system and the analytical methods designed for analysis of complexity and dynamic interrelations between different signal parameters. The results show that expressing of cardiac signals with Hankel and coherence matrices could be useful for diagnostic purposes.

引用

页码：449 / 458

页数：10

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