DocumentCode :
2135912
Title :
Identify and Classify Pulse Information Based on Extension
Author :
Zhu, Xiaoyuan ; Yu, Yongquan ; Li, Zhilong ; Wang, Hong
Author_Institution :
Guang Dong Univ. of Technol., Guang Zhou
Volume :
2
fYear :
2007
fDate :
23-27 June 2007
Firstpage :
651
Lastpage :
655
Abstract :
Human pulse always has tiny change. The veracity of pulse diagnosis affects individual life. The paper presents using the extension method and establishing the matter-element model for identifying pulse information. It constructs the extension classify-instrument with the extension classification tree. According to the experiment results, the method is compared with other current recognition methods. Research results indicate that it is of great help to identify and classify pulse information by constructing extension classify-instrument.
Keywords :
medical computing; patient diagnosis; pattern classification; tree data structures; extension classification tree; extension classify-instrument; extension method; human pulse diagnosis; individual life; matter-element model; Artificial intelligence; Blood; Classification tree analysis; Frequency; Information analysis; Medical diagnostic imaging; Multidimensional systems; Pattern recognition; Pulse modulation; Space vector pulse width modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics, 2007 5th IEEE International Conference on
Conference_Location :
Vienna
ISSN :
1935-4576
Print_ISBN :
978-1-4244-0851-1
Electronic_ISBN :
1935-4576
Type :
conf
DOI :
10.1109/INDIN.2007.4384850
Filename :
4384850
Link To Document :
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