By Topic

Analysis speech of polypus patients based on channel parameters and fuzzy logic systems

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
$33 $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

4 Author(s)
Zhen Zhong ; ENT-Head & Neck Surg. Dept., Peking Univ. First Hosp., Beijing, China ; Ting Jiang ; Wenshuo Zhang ; Haipeng Yao

To distinguish the polypus patients, the spectrum map of the speech samples is used to analyze. Compared the spectrum map with impulse response in wireless communication channel, statistical characteristic root-mean square-delay spread (RMSD) and standard deviation (SD) are employed to describe the speech frequency domain characteristic. Fuzzy logic system (FLS) is used to make polypus patients diagnosis. RMSD and SD are used as two antecedents and fuzzy rules are designed based on the data we collected from polypus patients and normal people. Based on the real data, we demonstrate that the FLS could be used in polypus patients' diagnosis with very low probability of miss detection and 0% false alarm rate.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on  (Volume:2 )

Date of Conference:

10-12 Aug. 2010