Enhancing Scaling Exponents in Heart Rate by means of Fractional Integration

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Argentina Leite (Autor) Outra; Ana Paula Rocha (Autor) FCUP; Maria Eduarda Silva (Autor) FEP

Ata de Conferência Internacional

Título: 2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)

Páginas: 433-436

40th Annual Meeting on Computing in Cardiology (CinC)

Zaragoza, SPAIN, SEP 22-25, 2013

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 3 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

Outras Informações

ID Authenticus: P-009-5YD

Abstract (EN): The characterization of heart rate variability (HRV) series has become important for clinical diagnosis. These series are non-stationary and exhibit long and short-range correlations. The non-parametric methodology detrended fluctuation analysis (DFA) has become widely used for the detection of these correlations. The standard procedure is to apply DFA to the RR series, estimating the desired scaling exponents. In this work we pursue an alternative approach which consists in applying DFA to the fractionally differenced RR series, Delta(RR)-R-d, where 0 < d < 1 is the long-range correlation parameter. Both methodologies are applied to 24 hour HRV series from the Noltisalis data base. We conclude that changes in HRV are better quantified by DFA scaling exponents calculated over fractionally differenced RR series than by the standard procedure. The results indicate that the scaling exponent corresponding to high frequencies obtained from Delta(RR)-R-d increases the discriminatory power among the groups: from 60% to 87% during the day period and 57% to 77% during the night period.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4