Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor
Arnab Neelim Mazumder, Haoran Ren, Hasib-Al Rashid, Morteza Hosseini, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin · IEEE Design and Test · 2021
Respiratory diseases are a leading cause of death in the world. This article proposes a deep convolutional neural network (DCNN) that can detect respiratory symptoms in a user using audio input, and with the assistance of additional physiological or demographic information.