A pattern recognition system to classify five lung sounds is proposed.
The system is based on HOS and on a divide-and-conquer approach.
The proposed approach uses Genetic Algorithms to dimensionality reduction.
K-Nearest Neighbor and Naive Bayes classifiers are used to recognize the signals.
The system achieved a high classification accuracy and can be implemented in an embedded system.