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Neural recognition system for swine cough

Author

Listed:
  • Moshou, D
  • Chedad, A
  • Van Hirtum, A
  • De Baerdemaeker, J
  • Berckmans, D
  • Ramon, H

Abstract

Coughing is one of the most frequent presenting symptoms of many diseases affecting the airways and the lungs of humans and animals. The aim of this paper is to build up an intelligent alarm system that can be used for the early detection of cough sounds in piggeries. Registration of coughs from different pigs in a metallic chamber was done in order to analyse the acoustical signal. A new approach is presented to distinguish cough sounds from other sounds like grunts, metal clanging and noise using neural networks (NN) as classification method. Other signals (grunts, metal clanging, etc.) could also be detected. Self-organising maps are used for visualisation of data relationships. Several types of NN are compared with statistical methods for the classification of the cough sounds. The early detection of coughs can be used for the construction of an intelligent alarm that can inform about the presence of a possible viral infection.

Suggested Citation

  • Moshou, D & Chedad, A & Van Hirtum, A & De Baerdemaeker, J & Berckmans, D & Ramon, H, 2001. "Neural recognition system for swine cough," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 56(4), pages 475-487.
    • Handle: RePEc:eee:matcom:v:56:y:2001:i:4:p:475-487
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