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
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