An Application of Fuzzy C-Regression Models to Characteristic Point Detection in Biomedical Signals

被引：1

作者：

Momot, Alina ^{[1
]}

Momot, Michal ^{[2
]}

Leski, Jacek M. ^{[2
,3
]}

机构：

[1] Silesian Tech Univ, Inst Comp Sci, Akad 16, PL-44100 Gliwice, Poland

[2] Inst Med Technol & Equipment, PL-41800 Zabrze, Poland

[3] Silesian Tech Univ, Inst Elect, PL-44100 Gliwice, Poland

来源：

MAN-MACHINE INTERACTIONS 3 | 2014年 / 242卷

关键词：

fuzzy clustering; fuzzy c-regresion models; biomedical signals;

D O I：

10.1007/978-3-319-02309-0_27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work introduces a new fuzzy c-regression models with various loss functions. The algorithm consists in solving a sequence of weighted quadratic minimization problems where the weights used for the next iteration depend on values of models residuals for the current iteration. Simulations on real-life ECG signals are realized to evaluate the performance of the fuzzy clustering method.

引用

页码：257 / 263

页数：7

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