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A topological model of biofeedback based on catecholamine interactions

BACKGROUND: The present paper describes a topological model of biofeedback. This model incorporates input from a sensory organ and a transduction phase mediated through catecholamine production in the feedback path. The transduction phase comprises both conservative and dissipative systems, from whi...

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Detalles Bibliográficos
Autores principales: Basak, Tapas K, Halder, Suman, Kumar, Madona, Sharma, Renu, Midya, Bijoylaxmi
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1079950/
https://www.ncbi.nlm.nih.gov/pubmed/15780132
http://dx.doi.org/10.1186/1742-4682-2-11
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author Basak, Tapas K
Halder, Suman
Kumar, Madona
Sharma, Renu
Midya, Bijoylaxmi
author_facet Basak, Tapas K
Halder, Suman
Kumar, Madona
Sharma, Renu
Midya, Bijoylaxmi
author_sort Basak, Tapas K
collection PubMed
description BACKGROUND: The present paper describes a topological model of biofeedback. This model incorporates input from a sensory organ and a transduction phase mediated through catecholamine production in the feedback path. The transduction phase comprises both conservative and dissipative systems, from which the appropriate output is combined in a closed loop. RESULTS: The model has been simulated in MATLAB 6.0 R12 in order to facilitate a comprehensive understanding of the complex biofeedback phenomena concomitant with the transduction phases associated with migraine and with psychosomatic diseases involving digestive disorders. CONCLUSION: The complexity of the biological system influences the transduction phase and nature of the system response, which is consequent on the activation of smooth muscles by sympathetic and parasympathetic stimulation.
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spelling pubmed-10799502005-04-15 A topological model of biofeedback based on catecholamine interactions Basak, Tapas K Halder, Suman Kumar, Madona Sharma, Renu Midya, Bijoylaxmi Theor Biol Med Model Research BACKGROUND: The present paper describes a topological model of biofeedback. This model incorporates input from a sensory organ and a transduction phase mediated through catecholamine production in the feedback path. The transduction phase comprises both conservative and dissipative systems, from which the appropriate output is combined in a closed loop. RESULTS: The model has been simulated in MATLAB 6.0 R12 in order to facilitate a comprehensive understanding of the complex biofeedback phenomena concomitant with the transduction phases associated with migraine and with psychosomatic diseases involving digestive disorders. CONCLUSION: The complexity of the biological system influences the transduction phase and nature of the system response, which is consequent on the activation of smooth muscles by sympathetic and parasympathetic stimulation. BioMed Central 2005-03-21 /pmc/articles/PMC1079950/ /pubmed/15780132 http://dx.doi.org/10.1186/1742-4682-2-11 Text en Copyright © 2005 Basak et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Basak, Tapas K
Halder, Suman
Kumar, Madona
Sharma, Renu
Midya, Bijoylaxmi
A topological model of biofeedback based on catecholamine interactions
title A topological model of biofeedback based on catecholamine interactions
title_full A topological model of biofeedback based on catecholamine interactions
title_fullStr A topological model of biofeedback based on catecholamine interactions
title_full_unstemmed A topological model of biofeedback based on catecholamine interactions
title_short A topological model of biofeedback based on catecholamine interactions
title_sort topological model of biofeedback based on catecholamine interactions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1079950/
https://www.ncbi.nlm.nih.gov/pubmed/15780132
http://dx.doi.org/10.1186/1742-4682-2-11
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