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
收藏
页码：257 / 263
页数：7
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