A parametric model approach for quantification of short term QT variability uncorrelated with heart rate variability

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2003

Autores

Almeida, R (Autor) FCUP; Pueyo, E (Autor) Outra; Martinez, JP (Autor) Outra; Rocha, AP (Autor) FCUP; Olmos, S (Autor) Outra; Laguna, P (Autor) Outra

Ata de Conferência Internacional

Título: COMPUTERS IN CARDIOLOGY 2003, VOL 30

Páginas: 165-168

30th Annual Meeting on Computers in Cardiology

Thessaloniki Chalkidiki, GREECE, SEP 21-24, 2003

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 4 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

Outras Informações

ID Authenticus: P-000-JE5

DOI: 10.1109/cic.2003.1291116

Abstract (EN): In this work we propose to assess the relation between HRV and QTV measured by an automatic delineator. A low order linear autoregressive model on RR versus QT interactions was used to explore short term relations and quantify the fractions of QTV correlated and not correlated with HRV. Power spectral density measures were estimated from the total QTV and from the two separated fractions using the proposed model. Simulated RR and QT series were used to quantify the error bounds associated to the method performance. ECG records of young normal subjects were processed to obtain the RR and QT series. The high QTV fraction not correlated with RR found h these records (over 40% in 98% of the segments) indicates that an important part of QTV can be driven by other factors rather than by heart rate, and may contain complementary information.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4