In this study, the potential for improving. QT interval estimation in ECGs is explored using multiple annotators in a Bayesian voting framework. The QT interval ...

A Bayesian approach (BA) with an informative prior, that combines measures from multiple humans or algorithms as well as contextual information (such as heart ...

A Bayesian approach with an informative prior, that combines measures from multiple humans or algorithms as well as contextual information (such as heart ...

The BA with features can reduces the human RMS error of QT estimates to 6.04ms and 13.97ms for automated algorithms, out-performing the results in the Challenge ...

Bayesian voting of multiple annotators for improved QT interval estimation. Tingting Zhu, Alistair EW Johnson, Joachim Behar, Gari D Clifford. January 2013.

Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation. BACK. Oxford University · Research · Training · News · Impact · People ...

R-peak estimation using multimodal lead switching · An echo state neural ... Bayesian voting of multiple annotators for improved QT interval estimation.

When using the top 30 and 50 algorithms for voting, the F1 value increased to 0.847 and 0.851 respectively. ... Bayesian voting of multiple annotators for ...

Bayesian voting of multiple annotators for improved QT interval estimation. Computing in Cardiology. 2013:40. (this volume) [Google Scholar]; 7. Moody GB ...

Bayesian voting of multiple annotators for improved QT interval estimation. Conference Paper. Full-text available. Jan 2013. Tingting Zhu · Alistair ...