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http://dx.doi.org/10.3745/KIPSTB.2008.15-B.4.301

Spectrum Feature Analysis of Crying Sounds of Infant Cold and Pneumonia  

Kim, Bong-Hyun (한밭대학교 컴퓨터공학과)
Lee, Se-Hwan (한밭대학교 컴퓨터공학과)
Cho, Dong-Uk (충북과학대학 정보통신과학과)
Abstract
Recently, various health care methods for infants have been suggested in the impending era of low birth rate society. We propose, in this context, an early diagnosis method for common infant respiratory diseases. Particularly, the method is regarding infant cold and infant pneumonia. Firstly, sounds of infant crying, only expressing means of infants, among the infant cold group and the infant pneumonia group are compared and examined to find the differences from those among the healthy infant group. For this, the link between infected organs and articulatory organs is investigated. Also, resulting wave forms and frequency bandwidths among each group are compared and analyzed, by using the spectrum for a component voice, to diagnose the infant cold and pneumonia. Finally, the effectiveness of this method is verified through the experiments.
Keywords
Crying Analysis; Cold; Pneumonia; Spectrum Analysis; Respiratory Diseases;
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