QT variability and HRV interactions in ECG: Quantification and reliability

• Type: Article in International Scientific Journal
• Date: 2006

Authors

Almeida, R (Author) Other; Gouveia, S (Author) FCUP; Rocha, AP (Author) FCUP; Pueyo, E (Author) Other; Martinez, JP (Author) Other; Laguna, P (Author) Other

Journal

Title: IEEE Transactions on Biomedical Engineering

Vol. 53

Pages: 1317-1329

ISSN: 0018-9294

Publisher: IEEE

Indexing

ISI Web of Knowledge - 49 Citations

Scopus - 62 Citations

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-004-JV5

DOI: 10.1109/tmbe.2006.873682

Abstract (EN): In this paper, a dynamic linear approach was used over QT and RR series measured by an automatic delineator, to explore the interactions between QT interval variability (QTV) and heart rate variability (HRV). A low-order linear autoregressive model allowed to separate and quantify the QTV fractions correlated and not correlated with HRV, estimating their power spectral density measures. Simulated series and artificial ECG signals were used to assess the performance of the methods, considering a respiratory-like electrical axis rotation effect and noise contamination with a signal-to-noise ratio (SNR) from 30 to 10 dB. The errors found in the estimation of the QTV fraction related to HRV showed a nonrelevant performance decrease from automatic delineation. The joint performance of delineation plus variability,analysis achieved less than 20% error in over 75% of cases for records presenting SNRs higher than 15 dB and QT standard deviation higher than 10 ms. The methods were also applied to real ECG records from healthy subjects where it was found a relevant QTV fraction not correlated with HRV (over 40% in 19 out of 23 segments analyzed), indicating that an important part of QTV is not linearly driven by HRV and may contain complementary information.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13