Detection of sinusitis by signal processing using independent component analysis Online publication date: Sun, 13-Jul-2008
by N.R. Shanker, K. Prabakaran, S. Devi
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 1, No. 1, 2008
Abstract: The acoustic detection is a simple and cost effective method for early detection of sinusitis. It can also be used to detect any other abnormality in the respiration. The system captures the breathing pattern of the subject in the form of sound signals. This sound signal is conveniently stored and processed using a signal processing software. The various statistical parameters of the acquired signal are evaluated. These statistical values are compared with values of a normal breathing pattern. Deviation of these statistical values beyond a tolerance of normal values indicates an abnormality in the breathing of the subject. Hence, the individual under test might be subjected to further medical examination. Therefore the system basically aims at predicting the occurrence of sinusitis in a simple way. If the process is further refined it would eliminate the expensive tests used to determine the sinusitis.
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