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

Real-time recognition of continuous-time biomedical signals using the Diffusion Network

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)
Yu-Su Hsu ; Inst. of Electron. Eng., Tsing-Hua Univ., Hsinchu ; Tang-Jung Chiu ; Hsin Chen

Real-time recognition of multichannel, continuous-time physiological signals has been crucial for the development of implantable biomedical devices. This work investigates the feasibility of using the diffusion network, a stochastic recurrent neural network, to recognise continuous-time biomedical signals. In addition, a hardware-friendly approach for achieving real-time recognition is proposed and tested with both artificial and real biomedical data. Based on this approach, the diffusion network is demonstrated to exhibit great tolerance against noise and drifts in continuous-time signals being classified.

Published in:

Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on

Date of Conference:

1-8 June 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.