Cardiovascular disease risk detection using modified T-S fuzzy neural networks

Author

Shi, Jun ; Sekar, Booma Devi ; Dong, Ming Chui ; Lei, Wai Kei

Author_Institution

Dept. of EEE, Univ. of Macau, Macau, China

Volume

2

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

17

Lastpage

20

Abstract

For the goal of cardiovascular disease risk detection, the statistic analysis is used to reduce the dimension of feature space and normalize each input feature; the modified Takagi-Sugeno model fuzzy neural networks are applied to realize the nonlinear mapping relationship between hemodynamic parameters and conclusions, which does not require predefining rules and subjective defuzzification. The preliminary testing results prove that the proposed method is promising for e-home healthcare usage.

Keywords

cardiovascular system; fuzzy neural nets; medical computing; risk analysis; statistical analysis; T-S fuzzy neural networks; Takagi-Sugeno model; cardiovascular disease risk detection; e-home healthcare usage; nonlinear mapping relationship; statistic analysis; subjective defuzzification; Cardiac disease; Cardiovascular diseases; Fuzzy logic; Fuzzy neural networks; Input variables; Medical diagnostic imaging; Medical services; Space technology; Statistical analysis; Testing; Takagi-Sugeno; cardiovascular disease; fuzzy neural networks; membership function; retrospection; statistical ananlysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451361

Filename

5451361