1. Quality assessment of digital annotated ECG data from clinical trials by the FDA ECG warehouse
- Author
-
Nenad Sarapa
- Subjects
QTC PROLONGATION ,Markup language ,United States Food and Drug Administration ,business.industry ,Quality assessment ,InformationSystems_DATABASEMANAGEMENT ,Signal Processing, Computer-Assisted ,General Medicine ,computer.software_genre ,United States ,Warehouse ,Clinical trial ,Electrocardiography ,Long QT Syndrome ,Annotation ,Evaluation Studies as Topic ,Histogram ,Humans ,Medicine ,Pharmacology (medical) ,cardiovascular diseases ,Data mining ,business ,computer ,Randomized Controlled Trials as Topic - Abstract
The FDA mandates that digital electrocardiograms (ECGs) from 'thorough' QTc trials be submitted into the ECG Warehouse in Health Level 7 extended markup language format with annotated onset and offset points of waveforms. The FDA did not disclose the exact Warehouse metrics and minimal acceptable quality standards. The author describes the Warehouse scoring algorithms and metrics used by FDA, points out ways to improve FDA review and suggests Warehouse benefits for pharmaceutical sponsors. The Warehouse ranks individual ECGs according to their score for each quality metric and produces histogram distributions with Warehouse-specific thresholds that identify ECGs of questionable quality. Automatic Warehouse algorithms assess the quality of QT annotation and duration of manual QT measurement by the central ECG laboratory.
- Published
- 2007
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