Data di Pubblicazione:
2008
Citazione:
Cough sound analysis to identify respiratory infection in pigs / S. Ferrari, M. Silva, M. Guarino, J.M. Aerts, D. Berckmans. - In: COMPUTERS AND ELECTRONICS IN AGRICULTURE. - ISSN 0168-1699. - 64:2(2008 Dec), pp. 318-325.
Abstract:
Cough sound detection is a central element to diagnose common respiratory diseases like
pneumonia in intensive pig farming. The aim of this work is the description of acoustic
features of cough sounds originating from a lung infection and the comparison between
these kind of cough sounds with those provoked by inhalation of citric acid.
Coughs have been recorded from infected animals in field conditions (pneumonia) and
from healthy animals in laboratory (induced). After having completed the classification, the
investigation on infectious and non-infectious cough sounds has involved the main differences
among acoustic parameters, like the Root Mean Square (RMS), the peak frequency
(Hz), the duration and the time occurring between successive coughs in a cough attack.
The results show a significant difference among the RMS, peak frequency and duration
in cough sounds from healthy and infected animals. RMS was 0.215 for healthy animals
and 0.124 for infected ones (P = 0). Non-infectious coughs have an average peak frequency
of 1600 Hz, while infectious coughs stand around 600 Hz. Also the length of sounds is significantly
lower (P < 0.001) for non-infectious coughs (average 0.43 s) than for infectious ones
(average 0.67 s). The space of time between each sick cough in a cough sequence seems
shorter than the interval occurring between healthy coughs (0.37 s versus 0.52 s).
The above mentioned findings could be surely helpful to develop a real-time cough classification
algorithm, based on sound feature analysis, in order to acquire a monitoring system
for automatic and continuous infection in pig houses.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Acoustic analysis; Cough sound; P. multocida; Pigs; Prevention
Elenco autori:
S. Ferrari, M. Silva, M. Guarino, J.M. Aerts, D. Berckmans
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