Performance evaluation of wearable long-term intestinal sound measurement device using machine learning

Abstract

The human intestine produces a characteristic sound called gut sound during digestion. In recent years, research has been conducted on automated bowel sound measurement systems to enable long term measurement of bowel sounds. In conventional methods, automatic bowel sound measurement has been studied using a measuring instrument equip- ed with a small microphone. However, this method involves a lot of noise from surroundings and can only be used under limited circumstances, such as for bedridden patients in intensive care units. Therefore, we decided to consider a new measurement device using a piezo electric element. In this study, we compared the performance of piezoelectric elements and diaphragms, and evaluated the ability to distinguish between intestinal sounds and noise using machine learning. deteriorates.