Wave 2 · KHIDI RFP 11-1 [3-6] (p.61–64) · TRL 3 → 5
S-PUB
✓ PASS
Solo Reached: 85/100 ·
+CRO/Clinical: 94/100
3D Cardiac Dipole Patch-ECG Simulator & Real 48-Record MIT-BIH Ambulatory Arrhythmia Detector
48-Record MIT-BIH Patient-Disjoint Benchmark (109,966 Beats; DS2 AUROC 0.949 vs RR Baseline 0.870) + 3D Cardiac Dipole Patch Simulator
2. Solver-Free Recomputed Benchmark Metrics
Target: ANSI/AAMI EC57 patient-disjoint DS2 AUROC >= 0.92 & beats RR baselineMIT-BIH DS2 Patient-Disjoint Ventricular Ectopy Detection AUROC (n = 330)
0.9493 AUROC
95% CI [0.9228, 0.9733]
Baseline Comparison (Naive Fixed-RR (<600 ms) Threshold Baseline)
0.8702 AUROC
Wearable Patch ECG Risk SaMD
Cardiologist-Annotated Ambulatory Beats Decoded (48 Records)
109966 beats
DS2 Raw 360 Hz Waveform Beat-Level PVC Specificity
98.06 %
DS2 Raw 360 Hz Waveform Beat-Level PVC Sensitivity
78.18 %
DS2 Raw 360 Hz Waveform Overall Beat Classification Accuracy
95.86 %
DS2 Patient-Disjoint Probability Calibration Brier Score
0.0805 Brier
DS2 Expected Calibration Error (10-Bin)
0.0855 ECE
Interactive Domain Simulation & Cohort Evidence Canvas
PASSdetectedBeatsInWindow
5
ectopicBurdenPct
0.04
snrDb
19.40
ventricularBeatsInWindow
0
Mathematical / Biophysical Methodology & Upgrade vs APOSTOLUS v1
Combines a McSharry-style 3D coupled dipole limit-cycle ODE and SNR < 6.0 dB motion-artifact abstention gate with binary WFDB .atr/.dat decoding across all 48 MIT-BIH ambulatory ECG recordings under ANSI/AAMI EC57 DS1->DS2 patient-disjoint evaluation.
Advancement Over Legacy APOSTOLUS v1
Replaces APOSTOLUS prevent12 textbook risk equations with real 360 Hz binary ambulatory ECG waveform/annotation analysis (PhysioNet MIT-BIH) + motion-artifact electrode impedance abstention.