Paper Title
Comparative Analysis of Hilbert Huang Transform and 1-D Continuous Wavelet Transform in Breathing Sounds Obtained from OSA Patient and Normal Subjects

Abstract
Obstructive Sleep Apnea is a common and serious sleep disorder in which there occur one or more pauses in breath during sleep. This condition may occur when the upper airway collapses or become blocked during sleep. Continuous action may narrow down the throat or completely block it and are usually associated with the reduction in the oxygen saturation level. Untreated OSA can lead to heart failure, stroke and hypertension. In this paper a new non-invasive method for screening patients with obstructive sleep apnea (OSA) during wakefulness is proposed. The tracheal breath sound was recorded in supine position for both normal subject and OSA patient using the sensor, which is placed on the patient’s throat where the pulse is not felt. This paper gives the comparative survey of Hilbert Huang Transform (HHT) and 1-D Continuous Wavelet Transform with the intention of giving the guidelines for deciding which of these techniques is the technique of choice for the analysis of breathing sounds, considering the desired outcomes of the analysis. Keywords - Obstructive Sleep Apnea, breathing sounds, Hilbert Huang Transform, Continuous Wavelet Transform, Spectral Analysis