Cart (Loading....) | Create Account
Close category search window

The application of wavelet neural network in measuring blood pressure

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chunbao Huo ; Liaoning Univ. of Technol., Jinzhou ; Lihui Zhao ; Yonghong Ma

The blood pressure signal of human body cannot be analyzed effectively using signal processing and pattern recognition techniques because the signal has its own characteristics for individual, even for the same person, the signal is not exactly similar collecting at different time. Based on feature extraction using wavelet analyzing and nonlinear mapping of neural network, the relationship between the amplitude of arterial fluctuation and the pressure of cuff can be confirmed, and the blood pressure signal is recognized accurately.

Published in:

Control and Decision Conference, 2008. CCDC 2008. Chinese

Date of Conference:

2-4 July 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.