Identification of Basic Respiratory Patterns for Disease-related Symptoms Through a Microphone Device

Abstract

: The research in this paper focuses on the capture of respiratory patterns in real-time through a minor modification of an anti-snoring device that is readily available off the shelf or can be bought online and attaching a microphone to it. The audio pattern is recorded for the various lung conditions at different stages. The data recorded is generated in graphical form to understand the pattern. The setup for recording and generating data patterns is explained in the paper. The procedure for using the device and gathering data is mentioned in detail in this paper and sample raw data is presented for researchers. The purpose of this device is easy data collection and interpretation for self-diagnosis of the anomalies in the breathing pattern through audio data and display of the patterns in smartphone applications that can further be investigated by a physician.