Classification of lung sounds using higher-order statistics: A divide-and-conquer approach
详细信息 查看全文
- 作者：Raphael Naves ; raphael@comp.ufla.br" class="auth_mail" title="E-mail the corresponding author ; Bruno H.G. Barbosa brunohb@deg.ufla.br" class="auth_mail" title="E-mail the corresponding author ; Danton D. Ferreira danton@deg.ufla.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Lung sounds ; Pattern recognition ; Higher-order statistics ; Genetic Algorithm
- 刊名：Computer Methods and Programs in Biomedicine
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：129
- 期：Complete
- 页码：12-20
- 全文大小：1351 K
文摘
- •
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.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |