dor_id: 4111329

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "INTERdisciplina", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO)

561.#.#.u: https://www.ceiich.unam.mx/0/index.php

650.#.4.x: Multidisciplina

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistas.unam.mx/index.php/inter/index

351.#.#.b: INTERdisciplina

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistas.unam.mx/index.php/inter/article/view/71195/64149

100.1.#.a: Fossion, Ruben; Sáenz Burrola, Ariel; Zapata Fonseca, Leonardo

524.#.#.a: Fossion, Ruben, et al. (2020). On the stability and adaptability of human physiology: Gaussians meet heavy-tailed distributions. INTER DISCIPLINA; Vol. 8 Núm. 20, 2020: Criticalidad; 55-81. Recuperado de https://repositorio.unam.mx/contenidos/4111329

245.1.0.a: On the stability and adaptability of human physiology: Gaussians meet heavy-tailed distributions

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Centro de Investigaciones Interdisciplinarias en Ciencias y Humanidades, UNAM

264.#.0.c: 2020

264.#.1.c: 2020-01-01

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico rev.interd@unam.mx

884.#.#.k: https://www.revistas.unam.mx/index.php/inter/article/view/71195

001.#.#.#: 068.oai:ojs.pkp.sfu.ca:article/71195

041.#.7.h: eng

520.3.#.a: Recent technological advances allow to monitor in baka non-invasive and continuous way a wide variety of physiological variables. A surprise of the last few decades is that most — if not all — of these variables are always fluctuating, even when the monitored subject is in resting conditions, and the general interpretation is that the statistics of these fluctuations reflect the dynamics of the underlying regulatory mechanisms. The objective of the present contribution is to offer an explanation why a large variability may be a signature of good health for some variables, e.g., heart rate variability, whereas it is interpreted as a risk factor for other variables, like blood pressure variability. Control theory suggests that variables may be classified into 2 categories, depending on the roles they play in the regulatory mechanism, and we argue that the statistics of the corresponding time series may reflect these different functions. We illustrate with experimental time series that regulated variables, such as blood pressure and core temperature, which are to be maintained within a restricted range around a predefined setpoint, correspond to time series that obey a normal (Gaussian) distribution with small variability around a representative average value. On the other hand, effector variables, such as heart rate and skin temperature, oppose or adapt to a multitude of perturbations from the environment, and we show that the corresponding time series exhibit a large variability and obey heavy-tailed distributions that may span various scales. With ageing and/or chronic degenerative disease, effector variables lose variability and adaptive capacity and consequently regulated variables lose stability and become more variable. Although the above results on the variability of time series have been obtained for the specific case of human physiology, they may be applicable as well to other complex dynamical systems where regulatory control mechanisms are active.

773.1.#.t: INTER DISCIPLINA; Vol. 8 Núm. 20 (2020): Criticalidad; 55-81

773.1.#.o: https://www.revistas.unam.mx/index.php/inter/index

022.#.#.a: ISSN: 2395-969X; ISSN electrónico: 2448-5705

310.#.#.a: Cuatrimestral

300.#.#.a: Páginas: 55-81

264.#.1.b: Centro de Investigaciones Interdisciplinarias en Ciencias y Humanidades, UNAM

doi: https://doi.org/10.22201/ceiich.24485705e.2020.20.71195

handle: 48fca1fd2d17025d

harvesting_date: 2023-08-23 17:00:00.0

856.#.0.q: application/pdf

file_creation_date: 2019-12-12 01:10:41.0

file_modification_date: 2019-12-12 01:10:42.0

file_name: d1034e15d928dad3595453d4c382182037d13797bd82f2bc80c4806836f285b3.pdf

file_pages_number: 28

file_format_version: application/pdf; version=1.4

file_size: 1832989

245.1.0.b: On the stability and adaptability of human physiology: Gaussians meet heavy-tailed distributions

last_modified: 2023-08-23 17:00:00

license_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es

license_type: by-nc-nd

No entro en nada

No entro en nada 2