1A2-F25 Is there chaos in snoring sounds?
Tsuyoshi Mikami, Yohichiro Kojima, Masahito Yamamoto, Masashi Furukawa · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2010
This paper investigates chaotic properties of snoring sounds by a correlation dimension analysis, which is generally used to verify the existence of chaos in a time series. The ultimate goal of this study is to extract useful information from the nonlinear properties of snores so as to diagnose obstructive sleep apnea. For such purpose, many researchers have examined snoring sounds by linear frequency analysis such as Fourier Transform or Linear Predictive Coding, but the chaotic properties of snores have not been clarified so far and the existence of chaos has not yet been proved also. The authors adopt Grassberger-Procaccia method to determine the correlation dimension of snore attractors quantitatively.