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Provedor de dados:  BJMBR
País:  Brazil
Título:  Method for automatic detection of wheezing in lung sounds
Autores:  Riella,R.J.
Nohama,P.
Maia,J.M.
Data:  2009-07-01
Ano:  2009
Palavras-chave:  Wheezes
Lung sounds
Spectrogram
Digital image processing
Artificial neural networks
Resumo:  The present report describes the development of a technique for automatic wheezing recognition in digitally recorded lung sounds. This method is based on the extraction and processing of spectral information from the respiratory cycle and the use of these data for user feedback and automatic recognition. The respiratory cycle is first pre-processed, in order to normalize its spectral information, and its spectrogram is then computed. After this procedure, the spectrogram image is processed by a two-dimensional convolution filter and a half-threshold in order to increase the contrast and isolate its highest amplitude components, respectively. Thus, in order to generate more compressed data to automatic recognition, the spectral projection from the processed spectrogram is computed and stored as an array. The higher magnitude values of the array and its respective spectral values are then located and used as inputs to a multi-layer perceptron artificial neural network, which results an automatic indication about the presence of wheezes. For validation of the methodology, lung sounds recorded from three different repositories were used. The results show that the proposed technique achieves 84.82% accuracy in the detection of wheezing for an isolated respiratory cycle and 92.86% accuracy for the detection of wheezes when detection is carried out using groups of respiratory cycles obtained from the same person. Also, the system presents the original recorded sound and the post-processed spectrogram image for the user to draw his own conclusions from the data.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009000700013
Editor:  Associação Brasileira de Divulgação Científica
Relação:  10.1590/S0100-879X2009000700013
Formato:  text/html
Fonte:  Brazilian Journal of Medical and Biological Research v.42 n.7 2009
Direitos:  info:eu-repo/semantics/openAccess
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