What is the clinical evidence from this study?

Study design: Other. Population: Healthy subjects. Intervention: Dynamic linear autoregressive model. Primary outcome: Estimation of QTV fractions correlated and not correlated with HRV.

June 21, 2006

QT Variability and HRV Interactions in ECG: Quantification and Reliability

Resultado clave

A dynamic linear approach applied to real ECG records from healthy subjects revealed that a relevant QTV fraction (over 40% in 19 of 23 segments) is not linearly driven by HRV.

PICO estructurado

Población

Simulated series, artificial ECG signals, and real ECG records from healthy subjects (23 segments analyzed)

Intervención

Dynamic linear approach using a low-order linear autoregressive model over QT and RR series measured by an automatic delineator

Resultado

Estimation of QTV fractions correlated and not correlated with HRV, and performance of the methodssurrogate

A significant portion of QT interval variability is not linearly driven by heart rate variability and may contain complementary clinical information.

Resumen

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.

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Cite This Study

Almeida et al. (Wed,) conducted a other in Healthy subjects. Dynamic linear autoregressive model was evaluated on Estimation of QTV fractions correlated and not correlated with HRV. A dynamic linear approach applied to real ECG records from healthy subjects revealed that a relevant QTV fraction (over 40% in 19 of 23 segments) is not linearly driven by HRV.

synapsesocial.com/papers/6a0f33ee2d7a240a01425dec https://doi.org/https://doi.org/10.1109/tbme.2006.873682

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