|ACQUISITION AND AUTOMATIC CLASSIFICATION OF ACOUSTICAL PHENOMENA ASSOCIATED WITH HUMAN INTESTINAL ACTIVITY|
|JAROSŁAW ARLET, JERZY SAWICKI, WITOLD MICKIEWICZ|
Movements of food in the human bowels produce sounds and noises. The properties of these acoustic phenomena depend on the phase of serious abdomen disease (if any) or time interval after surgical treatment. Therefore these sounds can be used as valuable diagnostic cue. For such a purpose the acoustical phenomena should be precise described and classified. But this task is not easy and such a kind of signal hasn't got standardized methods of description yet. In this paper the results of the time and frequency analysis of peristaltic movement sounds are presented. On this base partition into six classes of sounds is proposed. The possibilities of automatic detection of the acoustic phenomena using analysis of correlation function between real peristaltic movement sounds and selected standard patterns are also presented.
|Key Words:||acoustical diagnostics, digital processing of acoustical signals, biomedical engineering|