Fourth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2005)
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
algorithm was tested in field conditions.
The main objective of this study was to evaluate the accuracy of cough recognition algorithm on labeled coughs from all other sounds, recorded simultaneously with background noises using two microphones, one for noise and one for cough recording.
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Guarino, Marcella / Costa, A. / Patelli, S. / Silva, Mitchell / Berckmans, Daniel (2005): "Cough analysis and classification by labelling sound in swine respiratory disease", In MAVEBA-2005, 77-80.