Development and validation of an algorithm for cardiomyocyte beating frequency determination
The Chagas disease or Tripanosomiasis Americana affects between 16 and 18 million people in endemic areas. This disease affects the beating rate of infected patients' cardiomyocytes. At the Molecular Biology of Chagas Disease Laboratory in Argentina the effect of isolated patient's serum a...
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paperaa:paper_03029743_v3773LNCS_n_p420_Wassermann2023-06-12T16:47:19Z Development and validation of an algorithm for cardiomyocyte beating frequency determination Lect. Notes Comput. Sci. 2005;3773 LNCS:420-430 Wassermann, D. Mejail, M. Algorithms Biological membranes Diseases Image processing Medical imaging Patient monitoring Problem solving Cardiomyocyte beating frequency Cardiomyocyte membranes Monte Carlo experiments Video sequences Biomedical engineering The Chagas disease or Tripanosomiasis Americana affects between 16 and 18 million people in endemic areas. This disease affects the beating rate of infected patients' cardiomyocytes. At the Molecular Biology of Chagas Disease Laboratory in Argentina the effect of isolated patient's serum antibodies is studied over rat cardiomyocyte cultures. In this work an image processing application to measure the beating rate of this culture over video sequences is presented. This work is organized as follows. Firstly, a preliminary analysis of the problem is introduced, isolating the main characteristics of the problem. Secondly, a Monte Carlo experiment is designed and used to evaluate the robustness and validity of the algorithm. Finally, an algorithm of order O(T(N log N + N)) for tracking cardiomyocyte membranes is presented, where T is the number of frames and N is the maximum area of the membrane. Its performance is compared against the standard beating rate measure method. © Springer-Verlag Berlin Heidelberg 2005. Fil:Wassermann, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2005 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v3773LNCS_n_p420_Wassermann |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
language |
Inglés |
orig_language_str_mv |
eng |
topic |
Algorithms Biological membranes Diseases Image processing Medical imaging Patient monitoring Problem solving Cardiomyocyte beating frequency Cardiomyocyte membranes Monte Carlo experiments Video sequences Biomedical engineering |
spellingShingle |
Algorithms Biological membranes Diseases Image processing Medical imaging Patient monitoring Problem solving Cardiomyocyte beating frequency Cardiomyocyte membranes Monte Carlo experiments Video sequences Biomedical engineering Wassermann, D. Mejail, M. Development and validation of an algorithm for cardiomyocyte beating frequency determination |
topic_facet |
Algorithms Biological membranes Diseases Image processing Medical imaging Patient monitoring Problem solving Cardiomyocyte beating frequency Cardiomyocyte membranes Monte Carlo experiments Video sequences Biomedical engineering |
description |
The Chagas disease or Tripanosomiasis Americana affects between 16 and 18 million people in endemic areas. This disease affects the beating rate of infected patients' cardiomyocytes. At the Molecular Biology of Chagas Disease Laboratory in Argentina the effect of isolated patient's serum antibodies is studied over rat cardiomyocyte cultures. In this work an image processing application to measure the beating rate of this culture over video sequences is presented. This work is organized as follows. Firstly, a preliminary analysis of the problem is introduced, isolating the main characteristics of the problem. Secondly, a Monte Carlo experiment is designed and used to evaluate the robustness and validity of the algorithm. Finally, an algorithm of order O(T(N log N + N)) for tracking cardiomyocyte membranes is presented, where T is the number of frames and N is the maximum area of the membrane. Its performance is compared against the standard beating rate measure method. © Springer-Verlag Berlin Heidelberg 2005. |
format |
Artículo Artículo publishedVersion |
author |
Wassermann, D. Mejail, M. |
author_facet |
Wassermann, D. Mejail, M. |
author_sort |
Wassermann, D. |
title |
Development and validation of an algorithm for cardiomyocyte beating frequency determination |
title_short |
Development and validation of an algorithm for cardiomyocyte beating frequency determination |
title_full |
Development and validation of an algorithm for cardiomyocyte beating frequency determination |
title_fullStr |
Development and validation of an algorithm for cardiomyocyte beating frequency determination |
title_full_unstemmed |
Development and validation of an algorithm for cardiomyocyte beating frequency determination |
title_sort |
development and validation of an algorithm for cardiomyocyte beating frequency determination |
publishDate |
2005 |
url |
http://hdl.handle.net/20.500.12110/paper_03029743_v3773LNCS_n_p420_Wassermann |
work_keys_str_mv |
AT wassermannd developmentandvalidationofanalgorithmforcardiomyocytebeatingfrequencydetermination AT mejailm developmentandvalidationofanalgorithmforcardiomyocytebeatingfrequencydetermination |
_version_ |
1769810335424839680 |