CLASSIFICATION OF RESPIRATORY SOUNDS BY USING AN ARTIFICIAL NEURAL NETWORK
2003 ◽
Vol 17
(04)
◽
pp. 567-580
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Keyword(s):
In this paper, a classification method for respiratory sounds (RSs) in patients with asthma and in healthy subjects is presented. Wavelet transform is applied to a window containing 256 samples. Elements of the feature vectors are obtained from the wavelet coefficients. The best feature elements are selected by using dynamic programming. Grow and Learn (GAL) neural network, Kohonen network and multi-layer perceptron (MLP) are used for the classification. It is observed that RSs of patients (with asthma) and healthy subjects are successfully classified by the GAL network.
2016 ◽
Vol 16
(7)
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pp. 265-271
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Keyword(s):
2021 ◽
Vol 17
(1)
◽
pp. 25
2021 ◽
Vol 17
(1)
◽
pp. 1
2008 ◽
Vol 44
(1)
◽
pp. 65-76
◽
2018 ◽
Vol 14
(8)
◽
pp. 938-945
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