Cough Detection from Acoustic signals for patient monitoring system

Automated and unobtrusive systems for medical diagnosis are ushering a new era of smart and connected healthcare. An effective automated cough detection system helps healthcare professionals with information such as frequency, severity and nature of cough to enable early and accurate diagnosis.

This paper demonstrates best feature selection using MFCC which can help to determine cough events, eventually helping a neural network to learn and improve accuracy of cough detection.