作者
Justice Amoh, Kofi Odame
发表日期
2015/10/22
研讨会论文
2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)
页码范围
1-4
出版商
IEEE
简介
In this paper, we present a system that employs a wearable acoustic sensor and a deep convolutional neural network for detecting coughs. We evaluate the performance of our system on 14 healthy volunteers and compare it to that of other cough detection systems that have been reported in the literature. Experimental results show that our system achieves a classification sensitivity of 95.1% and a specificity of 99.5%.
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