A Fractal Characterization of Cough Signals for Covid-19 Pre-Screening Applications

Abstract

This paper presents a correlation fractal dimension characterization as applied to auditory cough signals. We have obtained cough samples from person with and without Covid-19 disease. Our hypothesis is coughs coming from Covid-19 disease exhibit fractal behavior. To show this, we apply fractal-size measurements on both samples. Preliminary results confirm fractality on Covid-19 cough signals. This result can improve performance of pre-screening for identification the presence respiratory diseases, such as Covid-19.