Machine Learning-Based Cry Diagnostic System for Identifying Septic Newborns.

Journal: Journal of voice : official journal of the Voice Foundation
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Processing the newborns' cry audio signal (CAS) provides valuable information about the newborns' condition. This information can be used to diagnose the disease. This article analyzes the CASs of newborns under two months old using machine learning approaches to develop an automatic diagnostic system for identifying septic infants from healthy ones. Septic infants have not been studied in this context.

Authors

  • Fatemeh Salehian Matikolaie
    Department of Electrical Engineering, École De Technologie Supérieure, Montreal, QC, H3C 1K3, Canada. Electronic address: fatemeh.salehianmatikolaie.1@ens.etsmtl.ca.
  • Chakib Tadj
    Department of Electrical Engineering, École De Technologie Supérieure, Montreal, QC, H3C 1K3, Canada.