A Study on Infant Respiratory Diseases Diagnosis using Frequency Bandwidth Analysis of Crying Waveform 


Vol. 33,  No. 12, pp. 1123-1130, Dec.  2008


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  Abstract

Baby's diseases diagnosis has inconvenient for received direct coming to help that order expression ability was insufficiency which consciousness situation concern about the infant health because of birth rate and decrease the marriage rate and divorce rate. So in this paper through the infant crying sound about home a foundation which infant diseases develop the system comparison normal infant with take a infant that analysis the extract the voice analytics component. Especially this paper propose about the methodology for development system that infant cold, infant pneumonia, infant asthma among extract the crying sound feature part for infant respiratory diseases discussion the most easy has involved the infant. So infant respiratory put case stimulus diseases about all voice organs and experiment the analysis method through the bandwidth about phonetics analysis component that comparison normal infant with take a respiratory infant. Through these method, we were extracted to results that infant's frequency bandwidth suffering from respiratory diseases than a normal infant is short.

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  Cite this article

[IEEE Style]

B. Kim and D. Cho, "A Study on Infant Respiratory Diseases Diagnosis using Frequency Bandwidth Analysis of Crying Waveform," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 12, pp. 1123-1130, 2008. DOI: .

[ACM Style]

Bong-hyun Kim and Dong-uk Cho. 2008. A Study on Infant Respiratory Diseases Diagnosis using Frequency Bandwidth Analysis of Crying Waveform. The Journal of Korean Institute of Communications and Information Sciences, 33, 12, (2008), 1123-1130. DOI: .

[KICS Style]

Bong-hyun Kim and Dong-uk Cho, "A Study on Infant Respiratory Diseases Diagnosis using Frequency Bandwidth Analysis of Crying Waveform," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 12, pp. 1123-1130, 12. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880