Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes

Autores
Korol, Ana M.; Vampa, Victoria Cristina; Raviola, Mariana; Riquelme, Bibiana; Martín, María Teresa
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fractal analysis has been applied with great success to many different biological systems, and many of them have been found to be either spatial or temporal fractals. The present model of erythrocytes (blood cells) viscoelastic properties is another example of a temporal fractal in biological systems. Human red blood cells are viscoelastic, showing viscous and elastic components integrated in a complex viscoelasticity when undergo fluid shear stress. This dynamic behaviour has a physiological importance since in vivo the erythrocytes continually change their shape and adapt passively to capillary circulation. The objective of the present work is applying wavelet transfom, to investigate and characterize different populations of red blood cells subjected to fluid shear stress, by means of Information Theory tools. Our preliminary studies on red blood cells (RBC); complex behaviour have shown to be a crossover between mathematic nonlinear quantifiers and human blood disease. On this basis we applied a new concept in the study of the manifestation of this behaviour. We introduce Wavelet based Information Theory quantifiers: the Normalized Total Shannon Entropy, the Martín-Plastino-Rosso (MPR), to find out the evident manifestation of a random process on red cell samples of healthy individuals (controls), and its sharp reduction of randomness on analyzing a human haematological disease, such as β-thalassaemia minor. β-thalassaemia syndromes constitute an heterogeneous group of genetic alterations characterized by deficiency or absence on the synthesis of β-globin chain, which have grown in the last decades. So far, the wavelet based complexity-entropy plane of erythrocytes performed by laser diffractometry could be very useful to investigate the cell membrane alterations.
Facultad de Ciencias Exactas
Materia
Ingeniería
Wavelet transform
Thalassaemia
Complexity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/194539

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spelling Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromesKorol, Ana M.Vampa, Victoria CristinaRaviola, MarianaRiquelme, BibianaMartín, María TeresaIngenieríaWavelet transformThalassaemiaComplexityFractal analysis has been applied with great success to many different biological systems, and many of them have been found to be either spatial or temporal fractals. The present model of erythrocytes (blood cells) viscoelastic properties is another example of a temporal fractal in biological systems. Human red blood cells are viscoelastic, showing viscous and elastic components integrated in a complex viscoelasticity when undergo fluid shear stress. This dynamic behaviour has a physiological importance since in vivo the erythrocytes continually change their shape and adapt passively to capillary circulation. The objective of the present work is applying wavelet transfom, to investigate and characterize different populations of red blood cells subjected to fluid shear stress, by means of Information Theory tools. Our preliminary studies on red blood cells (RBC); complex behaviour have shown to be a crossover between mathematic nonlinear quantifiers and human blood disease. On this basis we applied a new concept in the study of the manifestation of this behaviour. We introduce Wavelet based Information Theory quantifiers: the Normalized Total Shannon Entropy, the Martín-Plastino-Rosso (MPR), to find out the evident manifestation of a random process on red cell samples of healthy individuals (controls), and its sharp reduction of randomness on analyzing a human haematological disease, such as β-thalassaemia minor. β-thalassaemia syndromes constitute an heterogeneous group of genetic alterations characterized by deficiency or absence on the synthesis of β-globin chain, which have grown in the last decades. So far, the wavelet based complexity-entropy plane of erythrocytes performed by laser diffractometry could be very useful to investigate the cell membrane alterations.Facultad de Ciencias Exactas2019-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf563-563http://sedici.unlp.edu.ar/handle/10915/194539enginfo:eu-repo/semantics/altIdentifier/url/https://amcaonline.org.ar/ojs/index.php/mc/article/view/5831info:eu-repo/semantics/altIdentifier/issn/2591-3522info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-05-27T11:48:04Zoai:sedici.unlp.edu.ar:10915/194539Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-05-27 11:48:04.734SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
title Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
spellingShingle Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
Korol, Ana M.
Ingeniería
Wavelet transform
Thalassaemia
Complexity
title_short Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
title_full Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
title_fullStr Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
title_full_unstemmed Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
title_sort Wavelet transform: a nonlinear tool for characterizing β-thalassaemia syndromes
dc.creator.none.fl_str_mv Korol, Ana M.
Vampa, Victoria Cristina
Raviola, Mariana
Riquelme, Bibiana
Martín, María Teresa
author Korol, Ana M.
author_facet Korol, Ana M.
Vampa, Victoria Cristina
Raviola, Mariana
Riquelme, Bibiana
Martín, María Teresa
author_role author
author2 Vampa, Victoria Cristina
Raviola, Mariana
Riquelme, Bibiana
Martín, María Teresa
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ingeniería
Wavelet transform
Thalassaemia
Complexity
topic Ingeniería
Wavelet transform
Thalassaemia
Complexity
dc.description.none.fl_txt_mv Fractal analysis has been applied with great success to many different biological systems, and many of them have been found to be either spatial or temporal fractals. The present model of erythrocytes (blood cells) viscoelastic properties is another example of a temporal fractal in biological systems. Human red blood cells are viscoelastic, showing viscous and elastic components integrated in a complex viscoelasticity when undergo fluid shear stress. This dynamic behaviour has a physiological importance since in vivo the erythrocytes continually change their shape and adapt passively to capillary circulation. The objective of the present work is applying wavelet transfom, to investigate and characterize different populations of red blood cells subjected to fluid shear stress, by means of Information Theory tools. Our preliminary studies on red blood cells (RBC); complex behaviour have shown to be a crossover between mathematic nonlinear quantifiers and human blood disease. On this basis we applied a new concept in the study of the manifestation of this behaviour. We introduce Wavelet based Information Theory quantifiers: the Normalized Total Shannon Entropy, the Martín-Plastino-Rosso (MPR), to find out the evident manifestation of a random process on red cell samples of healthy individuals (controls), and its sharp reduction of randomness on analyzing a human haematological disease, such as β-thalassaemia minor. β-thalassaemia syndromes constitute an heterogeneous group of genetic alterations characterized by deficiency or absence on the synthesis of β-globin chain, which have grown in the last decades. So far, the wavelet based complexity-entropy plane of erythrocytes performed by laser diffractometry could be very useful to investigate the cell membrane alterations.
Facultad de Ciencias Exactas
description Fractal analysis has been applied with great success to many different biological systems, and many of them have been found to be either spatial or temporal fractals. The present model of erythrocytes (blood cells) viscoelastic properties is another example of a temporal fractal in biological systems. Human red blood cells are viscoelastic, showing viscous and elastic components integrated in a complex viscoelasticity when undergo fluid shear stress. This dynamic behaviour has a physiological importance since in vivo the erythrocytes continually change their shape and adapt passively to capillary circulation. The objective of the present work is applying wavelet transfom, to investigate and characterize different populations of red blood cells subjected to fluid shear stress, by means of Information Theory tools. Our preliminary studies on red blood cells (RBC); complex behaviour have shown to be a crossover between mathematic nonlinear quantifiers and human blood disease. On this basis we applied a new concept in the study of the manifestation of this behaviour. We introduce Wavelet based Information Theory quantifiers: the Normalized Total Shannon Entropy, the Martín-Plastino-Rosso (MPR), to find out the evident manifestation of a random process on red cell samples of healthy individuals (controls), and its sharp reduction of randomness on analyzing a human haematological disease, such as β-thalassaemia minor. β-thalassaemia syndromes constitute an heterogeneous group of genetic alterations characterized by deficiency or absence on the synthesis of β-globin chain, which have grown in the last decades. So far, the wavelet based complexity-entropy plane of erythrocytes performed by laser diffractometry could be very useful to investigate the cell membrane alterations.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/194539
url http://sedici.unlp.edu.ar/handle/10915/194539
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/2591-3522
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
563-563
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instname:Universidad Nacional de La Plata
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