Zenodo
Record-Specific ECG Baseline Features for Ventricular Ectopic Beat Detection and Alert Prioritization: A Retrospective MIT-BIH Study
By Md jakir Hossain.
Abstract
This preprint presents a retrospective computational study using the MIT-BIH Arrhythmia Database to evaluate record-specific ECG baseline features for ventricular ectopic beat detection. The study compares a global machine-learning approach with a personalized approach incorporating record-specific RR-interval features and explores probability-based alert prioritization. The work is intended for research purposes and has not been peer reviewed. It does not propose clinical decision thresholds
Keywords
- ECG Monitoring and Analysis
- Baseline (sea)
- Retrospective cohort study
- Electrocardiography
- Beat (acoustics)
- Clinical decision making
- QRS complex
- Open access
Source
This is a preprint: it has not been peer reviewed yet, and its findings may change.
Published in Zenodo (CERN European Organization for Nuclear Research). The abstract is shown as published and remains the work of its authors; read the full article at the source.
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