Automatic cycle identification in speaker's speech breathing signals
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Date
2015-05Author
Ding, Yanwu
Tchankwe, Georges
Parham, Douglas F.
Ding, Y. H.
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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.
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