Journal article
Automated QT analysis that learns from cardiologist annotations.
- 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
Actions
Authors
Bibliographic Details
- 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:
- 2009-01-01
- DOI:
- EISSN:
-
1542-474X
- ISSN:
-
1082-720X
- Source identifiers:
-
61651
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:61651
- UUID:
-
uuid:df788457-4516-46c9-b86a-fc23d76f1ae9
- Local pid:
- pubs:61651
- Deposit date:
- 2012-12-19
Terms of use
- Copyright date:
- 2009
If you are the owner of this record, you can report an update to it here: Report update to this record