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| Author(s): |
Luiz Eduardo Virgilio da Silva
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Ribeirão Preto. |
| Institution: | Universidade de São Paulo (USP). Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (PCARP/BC) |
| Defense date: | 2010-02-26 |
| Examining board members: |
Luiz Otavio Murta Junior;
Lourenco Gallo Junior;
Carmen Pimentel Cintra do Prado
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| Advisor: | Luiz Otavio Murta Junior |
| Abstract | |
This study aimed to construct and evaluate tools for quantification and analysis of heart rate variability under Tsallis non-extensive statistical paradigm to model heart rate regulation system, and discrimination in situations of healthy conditions and support diagnosis of heart diseases. The heart rate regulation system is known to be nonlinear. This study explores this feature by quantifying the signal complexity through a family of non extensive conditional entropy and other evaluation measures commonly used in the analysis of heart rate variability. We used real data from 15 healthy subjects, 23 individuals with Chagas disease and 19 hypertensive individuals, in addition to simulated data to make a computationally controlled evaluation of the statistical tools studied. During the evaluation were generated surrogate data for tests of validity and strength of the time series non-linearity hypothesis. The results have shown that the q parameter introduces a different way of quantifying the complexity of the signal. With the support of surrogate data, it was possible to identify a range of q values that nonlinear behavior is more evident for some signals. The results indicate that the approach deserves further study. (AU) | |
| FAPESP's process: | 07/06010-7 - Computational tools in heart rate variability analysis through nonextensive paradigm in the cardiopathy studies |
| Grantee: | Luiz Eduardo Virgilio da Silva |
| Support Opportunities: | Scholarships in Brazil - Master |