The study of time-frequency analysis the nocturnal snoring signal based on the wavelet transform
Yinhong Zhang, Li Quanlu, Wu Jing · The Journal of the Acoustical Society of America · 2012
This paper presents a time-frequency analysis method for non-stationary snoring signal that based on the discrete wavelet transform. The snoring is an important characters of upper airway obstruction and a typical inspiratory sound appearing during sleep. The severe snoring sound leads to the Obstructive Sleep Apnea Syndrome during persistent ventilatory movements and it can result in cessation of breathing. The resulting experimental shows that the characters of different time-frequency domain of the snoring signal and offers value for analyzing the temporal feature of snoring sound in health medical treatment. It is an interesting application of the wavelet transform theory in the medical field.