Peer-Reviewed Publication

Ann Noninvasive Electrocardiol2009;14 Suppl 1(Suppl 1):S9-21.January 1, 2009Journal Article

Automated QT analysis that learns from cardiologist annotations.

Iain Guy David Strachan¹, Nicholas Peter Hughes, Mustafa Hashim Poonawala, Jay W Mason, Lionel Tarassenko

¹OBS Medical, Carmel, Indiana, USA.

Abstract

BACKGROUND: Reliable, automated QT analysis would allow the use of all the ECG data recorded during continuous Holter monitoring, rather than just intermittent 10-second ECGs. METHODS: BioQT is an automated ECG analysis system based on a Hidden Markov Model, which is trained to segment ECG signals using a database of thousands of annotated waveforms. Each sample of the ECG signal is encoded by it…

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