Artificial Electronic Ear to Diagnose the Asthmatic and Non-Asthmatic Person

Abstract: Many methods and techniques are used to diagnose the asthma but this mostly techniques/methods have high cost and take more time to give the result. Many researchers used signal processing to diagnose the respiratory diseases. But they have some disadvantage that some methods were more complex and some methods takes more time to give the result. The focus of this paper is to diagnose the asthma in the low cost, less time without using heavy devices and less complexity. In this paper to diagnose the asthma breath sound of humans used because affected people and normal people have different breath sound. Since breath sounds are stochastic signal, autocorrelation, magnitude square coherence etc. techniques used which is the techniques of applied statistical signal processing approaches.

Keywords: Artificial Electronic ear; exhale breath, breath sound analysis, asthma detection, statistics signal processing.