ENTROPIC ANALYSIS AND SYNTHESIS OF BIOSIGNAL COMPLEXITY

被引：0

作者：

Pham, Tuan D. ^{[1
]}

机构：

[1] Univ New South Wales, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia

来源：

BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING | 2010年

基金：

澳大利亚研究理事会;

关键词：

Entropy; Complexity; Geostatistics; Information Fusion; Mass Spectrometry Data; APPROXIMATE ENTROPY; SAMPLE ENTROPY;

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：

Analysis of complexity of biological time-series data is investigated to gain knowledge about the biosignal predictability. Using modern biological data such as mass spectral, this complexity information can be utilized to identify novel biomarkers for drug discovery, early disease detection and therapeutic treatment. To enhance the complexity analysis, a probabilistic fusion scheme, which is an alternative to the assumption of the independence of probabilistic models, is applied to synthesize the information given by different entropy methods.

引用

页码：115 / 120

页数：6

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