DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System
This work addresses cough monitoring for healthcare applications, but it is incremental as it applies an existing deep learning method to a specific domain.
The paper tackled the problem of cough detection by developing a wearable system using a deep convolutional neural network, achieving a classification sensitivity of 95.1% and specificity of 99.5% on data from 14 healthy volunteers.
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%.