Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population.

Journal: Computers in biology and medicine
Published Date: Jan 8, 2016

Abstract

BACKGROUND: Respiratory diseases in children are a common reason for physician visits. A diagnostic difficulty arises when parents hear wheezing that is no longer present during the medical consultation. Thus, an outpatient objective tool for recognition of wheezing is of clinical value.

Authors

  • Plamen Bokov
    Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Physiologie - Clinique de la Dyspnée, Paris, France; Université Paris Descartes, Paris Sorbonne Cité, Paris, France. Electronic address: plamen.bokov@aphp.fr.
  • Bruno Mahut
    Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Physiologie - Clinique de la Dyspnée, Paris, France.
  • Patrice Flaud
    Laboratoire Matière et Systèmes Complexes, UMR 7057, Université Paris Diderot, Paris, France.
  • Christophe Delclaux
    Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Physiologie - Clinique de la Dyspnée, Paris, France; Université Paris Descartes, Paris Sorbonne Cité, Paris, France; CIC Plurithématique 9201, Hôpital Européen Georges Pompidou, Paris, France.

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