Detecting paroxysmal coughing from pertussis cases using voice recognition technology.

ABSTRACT:

Background

Pertussis is highly contagious; thus, prompt identification of cases is essential to control outbreaks. Clinicians experienced with the disease can easily identify classic cases, where patients have bursts of rapid coughing followed by gasps, and a characteristic whooping sound. However, many clinicians have never seen a case, and thus may miss initial cases during an outbreak. The purpose of this project was to use voice-recognition software to distinguish pertussis coughs from croup and other coughs.

Methods

We collected a series of recordings representing pertussis, croup and miscellaneous coughing by children. We manually categorized coughs as either pertussis or non-pertussis, and extracted features for each category. We used Mel-frequency cepstral coefficien

SUBMITTER: Parker D 

PROVIDER: S-EPMC3876998 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature