Literature DB >> 7298440

A model for the relation between respiratory neural and mechanical outputs. I. Theory.

M Younes, W Riddle.   

Abstract

A model for the conversion of respiratory neural output to mechanical output, and vice versa, is described. Neural output was expressed in terms of isometric pressure generated at passive functional residual capacity. The mechanical response time constant of respiratory muscle was assumed to be 0.06 s. The effect of volume and configuration on pressure output was modeled after the data of Grassino et al. (J. Appl. Physiol.: Respirat. Environ. Exercise Physiol. 44: 829-839, 1978). Equations were developed to examine the effect of different configurational pathways during inspiration. We utilized Hill's hyperbolic force-velocity relation to model the effect of flow on pressure output. The pressure asymptote of the hyperbola was considered to be similar to that in other skeletal muscles (0.25 isometric pressure). The flow asymptote was derived from data obtained during maximal voluntary inspiration. A major feature of the model is the dependence of volume, configuration, and flow-related pressure losses on level of inspiratory activity. The practical effect of potential errors and the overall accuracy of the model are presented in the two succeeding communications.

Mesh:

Year:  1981        PMID: 7298440     DOI: 10.1152/jappl.1981.51.4.963

Source DB:  PubMed          Journal:  J Appl Physiol Respir Environ Exerc Physiol        ISSN: 0161-7567


  9 in total

1.  Effects of relaxation of inspiratory muscles on ventilator pressure during pressure support.

Authors:  George Prinianakis; Maria Plataki; Eumorfia Kondili; Maria Klimathianaki; Katerina Vaporidi; Dimitris Georgopoulos
Journal:  Intensive Care Med       Date:  2007-10-11       Impact factor: 17.440

2.  Lack of importance of respiratory muscle load in ventilatory regulation during heavy exercise in humans.

Authors:  B Krishnan; T Zintel; C McParland; C G Gallagher
Journal:  J Physiol       Date:  1996-01-15       Impact factor: 5.182

3.  Oscillation patterns are enhanced and firing threshold is lowered in medullary respiratory neuron discharges by threshold doses of a μ-opioid receptor agonist.

Authors:  Peter M Lalley; Steve W Mifflin
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-02-15       Impact factor: 3.619

4.  Immediate response to inspiratory resistive loading in anesthetized patients with kyphoscoliosis: spirometric and neural effects.

Authors:  A Baydur; M Carlson
Journal:  Lung       Date:  1996       Impact factor: 2.584

5.  Quantification of airway conductance from noninvasive ventilatory drive in patients with sleep apnea.

Authors:  Thomas M Tolbert; Ankit Parekh; Scott A Sands; Anne M Mooney; Indu Ayappa; David M Rapoport
Journal:  J Appl Physiol (1985)       Date:  2021-09-09

6.  D1/D2-dopamine receptor agonist dihydrexidine stimulates inspiratory motor output and depresses medullary expiratory neurons.

Authors:  Peter M Lalley
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2009-03-11       Impact factor: 3.619

7.  A joint computational respiratory neural network-biomechanical model for breathing and airway defensive behaviors.

Authors:  Russell O'Connor; Lauren S Segers; Kendall F Morris; Sarah C Nuding; Teresa Pitts; Donald C Bolser; Paul W Davenport; Bruce G Lindsey
Journal:  Front Physiol       Date:  2012-07-23       Impact factor: 4.566

8.  Limited predictability of maximal muscular pressure using the difference between peak airway pressure and positive end-expiratory pressure during proportional assist ventilation (PAV).

Authors:  Po-Lan Su; Pei-Shan Kao; Wei-Chieh Lin; Pei-Fang Su; Chang-Wen Chen
Journal:  Crit Care       Date:  2016-11-27       Impact factor: 9.097

Review 9.  Hyperinflation and its management in COPD.

Authors:  Luis Puente-Maestu; William W Stringer
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2006
  9 in total

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