@inproceedings{7b414f63826c48e79f68dbd043ee880f,
title = "Using Back-Propagation Neural Network for Automatic Wheezing Detection",
abstract = "This study describes the design of a fast and high performance wheeze recognition system. The proposed wheezing detection algorithm is based on order truncate average (OTA) and back-propagation neural network (BPNN). Some features are then extracted from the processed spectra to train a BPNN. Eventually, the new testing samples go through the trained BPNN to recognize whether they are wheezing sounds. Experimental results show a high sensitivity of 0.946 and a specificity of 1.0 in qualitative analysis of wheeze recognition.",
keywords = "asthma, back-propagation neural network, bilateral filtering, order truncate average, wheezing detection",
author = "Lin, {Bor Shing} and Wu, {Huey Dong} and Chen, {Sao Jie} and Jan, {Gene Eu} and Bor-Shyh Lin",
year = "2016",
month = feb,
day = "19",
doi = "10.1109/IIH-MSP.2015.51",
language = "English",
series = "Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "49--52",
editor = "Jeng-Shyang Pan and Ching-Yu Yang and Hsiang-Cheh Huang and Ivan Lee",
booktitle = "Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015",
address = "United States",
note = "11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 ; Conference date: 23-09-2015 Through 25-09-2015",
}