- 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 its wavelet transform coefficients. BioQT also produces a confidence measure which can be used to i...
Expand abstract - Publication status:
- Published
- Journal:
- Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
- Volume:
- 14 Suppl 1
- Pages:
- S9-21
- Publication date:
- 2009-01-05
- DOI:
- EISSN:
-
1542-474X
- ISSN:
-
1082-720X
- URN:
-
uuid:df788457-4516-46c9-b86a-fc23d76f1ae9
- Source identifiers:
-
61651
- Local pid:
- pubs:61651
- Copyright date:
- 2009
Journal article
Automated QT analysis that learns from cardiologist annotations.
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