Key result
Open source QRS detectors achieved sensitivities and positive predictivities close to 99.8% on the MIT/BIH and AHA arrhythmia databases, with beat classifier sensitivity >93%.
Population
MIT/BIH and AHA arrhythmia databases
Design
Other
Authors
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May accelerate ECG software development by curbing duplication; leaves open prospective clinical validation.
Open-source ECG analysis software provides highly accurate QRS detection and beat classification, reducing duplication of effort for researchers and developers.
P.S. Hamilton (2003) studied Arrhythmia. Open source ECG analysis software was evaluated on Sensitivity and positive predictivity of QRS detectors and beat classifier. Open source QRS detectors achieved sensitivities and positive predictivities close to 99.8% on the MIT/BIH and AHA arrhythmia databases, with beat classifier sensitivity >93%.
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