Automated Detection of Paroxysmal Arrhythmias from Millions of Heartbeats
Deploying 1D convolutional neural networks that scan hundreds of hours of commute ECG traces to uncover asymptomatic paroxysmal atrial fibrillation episodes.
Entropy-Based R-R Irregularity Analysis
Computing sample entropy across inter-beat intervals isolates true chaotic atrial fibrillation from benign sinus arrhythmia and ectopic beats.
- Over 98.7% sensitivity and 99.2% specificity in AFib detection.
- Automated identification of absent P-waves and irregular f-waves.
- Generation of certified clinical PDF reports exportable to cardiologists.
- Reduction of unheralded ischemic stroke risks through early therapeutic notice.
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