DEVELOPMENT OF AN ALGORITHM FOR IN FIELD DETECTION OF PIG EPIDEMICS USING COUGH SIGNALS

Coughing is one of the most frequent presenting symptoms of many diseases affecting the airways and the lungs of both humans and animals. In piggeries, the continuous on-line monitoring of cough sound can be used to build an intelligent alarm system for the early detection of diseases. In a first study, with experiments under laboratory conditions, algorithms have been developed to detect cough sounds and to classify the animals whether they were ill or not. In this study, the aim was to test the algorithm in field conditions.