Loading...
Automatic cycle identification in speaker's speech breathing signals
Ding, Yanwu Tchankwe, Georges Parham, Douglas F. Ding, Y. H.
Ding, Yanwu
Tchankwe, Georges
Parham, Douglas F.
Ding, Y. H.
Citations
Altmetric:
Files
Loading...
Ding_2015.pdf
Adobe PDF, 793.73 KB
Other Names
Location
Time Period
Original Date
Digitization Date
Issue Date
2015-05
Type
Conference paper
Genre
Keywords
Respiration,Speech breathing signal,Cycle detection
Subjects (LCSH)
Citation
Ding, Yanwu; Tchankwe, Georges; Parham, Douglas F.; Ding, Y. H. 2015. Automatic cycle identification in speaker's speech breathing signals. Proceedings of the International Conference on Computer Information Systems and Industrial Applications (CISIA 2015), vol. 18:pp 833-836
Abstract
Due to the complexity in respiratory signals, an experienced coder is often required to identify the acceptable cycles and mark the start and end times for each cycle. This algorithm is an important step toward timely identification and coding of more complex respiratory signals and more efficient analysis for physiological signals. Simulation results have shown that the proposed algorithm can identify cycles correctly and efficiently.
Table of Contents
Description
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
Publisher
Atlantis Press
Journal
Book Title
Series
Proceedings of the International Conference on Computer Information Systems and Industrial Applications (CISIA 2015);v.18
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
2352-538X