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dc.contributor.advisor
dc.contributor.advisor
dc.contributor.authorDing, Yanwu
dc.contributor.authorTchankwe, Georges
dc.contributor.authorParham, Douglas F.
dc.contributor.authorDing, Y. H.
dc.date.accessioned2015-09-18T17:52:44Z
dc.date.available2015-09-18T17:52:44Z
dc.date.issued2015-05
dc.identifier.citationDing, 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 833-836en_US
dc.identifier.isbn978-94-62520-72-1
dc.identifier.issn2352-538X
dc.identifier.otherWOS:000359866200224
dc.identifier.urihttp://dx.doi.org/10.2991/cisia-15.2015.224
dc.identifier.urihttp://hdl.handle.net/10057/11527
dc.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.en_US
dc.description.abstractDue 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.en_US
dc.language.isoen_USen_US
dc.publisherAtlantis Pressen_US
dc.relation.ispartofseriesProceedings of the International Conference on Computer Information Systems and Industrial Applications (CISIA 2015);v.18
dc.subjectRespirationen_US
dc.subjectSpeech breathing signalen_US
dc.subjectCycle detectionen_US
dc.titleAutomatic cycle identification in speaker's speech breathing signalsen_US
dc.typeConference paperen_US
dc.rights.holder© Atlantis Press.


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