Feature extraction of a vectorcardiogram by employing a wavelet network guaranteeing a global minimum

Article type: Research Article

Authors: Samatsu, Takashi | Uchino, Eiji | Yamakawa, Takeshi

Affiliations: Kyushu Tokai University, 9‐1‐1 Toroku, Kumamoto 862‐8652, Japan E‐mail: [email protected]‐u.ac.jp | Yamaguchi University, 1677‐1 Yoshida, Yamaguchi 753‐8512, Japan E‐mail: [email protected]‐u.ac.jp | Kyushu Institute of Technology, 680‐4 Kawazu, Iizuka, Fukuoka 820‐8502, Japan E‐mail: [email protected]

Abstract: This paper describes a wavelet network with convex wavelets. The distinctive features of this network are (1) guarantee of a global minimum, (2) good designability (the number of connection weights is determined by the resolution given by a designer) and (3) high ability of generalization especially in local nonlinearity. It is applied to feature extraction from a vectorcardiogram and its feature visualization.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 8, no. 3, pp. 221-227, 2000