title: Optimization character of inspiratory neural drive.
abstract: A previous optimal chemical-mechanical model (C.-S. Poon. J. Appl. Physiol. 62: 2447-2459, 1987) suggested that the normal ventilatory responses to CO2 and exercise inputs and mechanical loading can be predicted by the minimization of a controller objective function consisting of the total chemical and mechanical costs of breathing. In this study the model was generalized to include a description of the inspiratory neuromuscular drive as the control output. With a mechanical work rate index for both inspiration and expiration, the general optimization model accurately reproduced the observed responses in the waveshape of inspiratory drive, breathing pattern, and total ventilation under differing conditions of CO2 inhalation, exercise, and inspiratory/expiratory mechanical loads. The simulation results are in general agreement with a wide range of respiratory phenomena, including exercise hyperpnea, CO2 chemoreflex, and post-inspiratory (postinflow) inspiratory activity, as well as respiratory neural compensations for mechanical loading, respiratory muscle fatigue, and muscle weakness.
authors.affiliation: Harvard University-Massachusetts Institute of Technology Division of Health Sciences and Technology, Cambridge 02139.
authors.forename: C S
authors.initials: CS
authors.lastname: Poon
authors.forename: S L
authors.initials: SL
authors.lastname: Lin
authors.forename: O B
authors.initials: OB
authors.lastname: Knudson
mesh_terms: D000818:Animals; D002628:Chemoreceptor Cells / Q000502:physiology; D003198:Computer Simulation; D005246:Feedback; D006801:Humans; D008465:Mechanoreceptors / Q000502:physiology; D008526:Medulla Oblongata / Q000502:physiology; D008954:Models, Biological; D011659:Pulmonary Gas Exchange / Q000502:physiology; D015656:Respiratory Mechanics / Q000502:physiology*