Objective cough-sound recognition as a biomarker for aerial factors
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The relation between air quality and respiratory health and comfort in humans and animals has been widely
shown. In general, a state of respiratory discomfort in everyday indoor and outdoor life results in an increase in audible
acoustic symptoms. The general concept of sound analysis as an objective, contactless, and non-invasive biomarker for aerial
stressors was studied on free-field registered cough sounds of 12 Belgian Landrace piglets. A citric acid-induced cough
sound-recognition algorithm with a recognition percentage of 95% was applied to cough sounds registered in the presence
of distinct types of aerial factors: irritating gas (ammonia), respirable particles (dust), and climate (temperature). The
recognition percentage for all aerial factors exceeded 90% and averaged 94%. Therefore, it was concluded that sound
analysis could provide an effective biomarker for all three types of aerial factors. The generality of the biomarker is speculated
to arise from the common mechanism involved in protective cough, which will stand as long as no physical changes (e.g.,
growth, disease) to the state of the respiratory system occur. The results suggest that sound analysis as a biomarker of the
respiratory state may be integrated into room or personalized air ventilation control to improve respiratory comfort of
animals.