Pulse Image Recognition Using Fuzzy Neural Network

Author

Xu, L.S. ; Meng, Max Q.-H. ; Wang, K.Q.

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

3148

Lastpage

3151

Abstract

The automatic recognition of pulse images is the key in the research of computerized pulse diagnosis. In order to automatically differentiate the pulse patterns by using small samples, a fuzzy neural network to classify pulse images based on the knowledge of experts in traditional Chinese pulse diagnosis was designed. The designed classifier can make hard decision and soft decision for identifying 18 patterns of pulse images at the accuracy of 91%, which is better than the results that achieved by back-propagation neural network.

Keywords

backpropagation; fuzzy neural nets; image recognition; medical image processing; patient diagnosis; automatic image recognition; back-propagation neural network; computerized pulse diagnosis; fuzzy neural network; hard decision; pulse image recognition; soft decision; traditional Chinese pulse diagnosis; Biomedical imaging; Convergence; Fuzzy logic; Fuzzy neural networks; Image recognition; Medical diagnostic imaging; Neural networks; Pattern analysis; Pulse shaping methods; Space vector pulse width modulation; Classifier; Fuzzy Neural Network; Pulse diagnosis; Pulse image; Algorithms; Fuzzy Logic; Humans; Medicine, Chinese Traditional; Neural Networks (Computer); Palpation; Pattern Recognition, Automated; Pulse; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4352997

Filename

4352997