alexa [Similarity measures between vague sets and their application to electrocardiogram auto-recognition].
Engineering

Engineering

Journal of Biomimetics Biomaterials and Tissue Engineering

Author(s): Tang L, Zhang X, Tang X, Mo Z

Abstract Share this page

Abstract The similarity measures between Vague sets are one of the most important technologies in Vague sets, In this paper, the new similarity measures based on Huang Guoshun's related works are presented and applied in electrocardiogram auto-recognition. Based on medical requiresments, in this paper, the characteristic parameters of signals from Massachusettes Institute of Technology (database) have been picked up and studied with BP neural network. In the end, the electrocardiogram samples are classified with the use of those characteristic parameters. The result shows that the accuracy of recognition goes up to 99.04\%.
This article was published in Sheng Wu Yi Xue Gong Cheng Xue Za Zhi and referenced in Journal of Biomimetics Biomaterials and Tissue Engineering

Relevant Expert PPTs

Relevant Speaker PPTs

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords