Literature DB >> 5056961

Modeling the carotid sinus baroreceptor.

R Srinivasan, H B Nudelman.   

Abstract

A mathematical model that describes the relationship between sinus pressure and nerve discharge frequency of the carotid sinus baroreceptor is presented. It is partly based upon the single-fiber data obtained by Clarke from the sinus nerve of a dog. The model takes into account what is currently known about the physiology of the baroreceptor. It consists of two nonlinear ordinary differential equations and eight free parameters. With one set of values for these eight parameters, the model reproduces well the experimental results reported by Clarke for positive ramp pressure inputs. Only three parameters needed to be adjusted in order to fit the dynamic data. The remaining five were obtained from static and steady-state data.

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Year:  1972        PMID: 5056961      PMCID: PMC1484137          DOI: 10.1016/S0006-3495(72)86153-8

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  10 in total

1.  Electrical and mechanical factors in the adaptation of a mammalian muscle spindle.

Authors:  O C LIPPOLD; J G NICHOLLS; J W REDFEARN
Journal:  J Physiol       Date:  1960-09       Impact factor: 5.182

2.  The frequency-dependent nature of blood pressure regulation by the carotid sinus studied with an electric analog.

Authors:  H R WARNER
Journal:  Circ Res       Date:  1958-01       Impact factor: 17.367

3.  Changes of length within the frog muscle spindle during stretch as shown by stroboscopic photomicroscopy.

Authors:  D Ottoson; G M Shepherd
Journal:  Nature       Date:  1968-11-30       Impact factor: 49.962

4.  Receptor potentials and impulse generation in the isolated spindle during controlled extension.

Authors:  D Ottoson; G M Shepherd
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1965

5.  An analysis of impulse discharges from the spindle receptor.

Authors:  K Toyama
Journal:  Jpn J Physiol       Date:  1966-04-15

6.  Transducer characteristics of the muscle spindle as revealed by its receptor potential.

Authors:  D Ottoson; G M Shepherd
Journal:  Acta Physiol Scand       Date:  1971-08

7.  The contribution of mechanical factors to the early adaptation of the spindle response.

Authors:  I Husmark; D Ottoson
Journal:  J Physiol       Date:  1971-02       Impact factor: 5.182

8.  Studies on blood-pressure regulation by the use of a baroreceptor analog.

Authors:  E Zerbst; K H Dittberner; V Kötter
Journal:  Pflugers Arch       Date:  1970       Impact factor: 3.657

9.  Nonlinear analysis of the baroreceptor reflex system.

Authors:  W H Levison; G O Barnett; W D Jackson
Journal:  Circ Res       Date:  1966-06       Impact factor: 17.367

10.  Dynamic response characteristics of carotid sinus baroreceptors.

Authors:  J W Spickler; P Kezdi
Journal:  Am J Physiol       Date:  1967-02
  10 in total
  6 in total

1.  Modeling heart rate regulation--part I: sit-to-stand versus head-up tilt.

Authors:  Mette S Olufsen; April V Alston; Hien T Tran; Johnny T Ottesen; Vera Novak
Journal:  Cardiovasc Eng       Date:  2008-06

2.  Identifying physiological origins of baroreflex dysfunction in salt-sensitive hypertension in the Dahl SS rat.

Authors:  Scott M Bugenhagen; Allen W Cowley; Daniel A Beard
Journal:  Physiol Genomics       Date:  2010-03-30       Impact factor: 3.107

3.  Baroreceptor responses derived from a fundamental concept.

Authors:  M F Taher; A B Cecchini; M A Allen; S R Gobran; R C Gorman; B L Guthrie; K A Lingenfelter; S Y Rabbany; P M Rolchigo; J Melbin
Journal:  Ann Biomed Eng       Date:  1988       Impact factor: 3.934

4.  Theoretical studies on the behavior of carotid sinus baroreceptors.

Authors:  R Srinivasan; H Nudelman
Journal:  Kybernetik       Date:  1973-10

5.  Structural correlation method for model reduction and practical estimation of patient specific parameters illustrated on heart rate regulation.

Authors:  Johnny T Ottesen; Jesper Mehlsen; Mette S Olufsen
Journal:  Math Biosci       Date:  2014-07-19       Impact factor: 2.144

6.  Modeling the afferent dynamics of the baroreflex control system.

Authors:  Adam Mahdi; Jacob Sturdy; Johnny T Ottesen; Mette S Olufsen
Journal:  PLoS Comput Biol       Date:  2013-12-12       Impact factor: 4.475

  6 in total

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