Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(704 bytes)
A5392 12 500 9500
A5392.mat 16x1+24 1000.0(0)/mV 16 0 19 3851 0 I
A5392.mat 16x1+24 1000.0(0)/mV 16 0 81 4661 0 II
A5392.mat 16x1+24 1000.0(0)/mV 16 0 62 810 0 III
A5392.mat 16x1+24 1000.0(0)/mV 16 0 -49 2011 0 aVR
A5392.mat 16x1+24 1000.0(0)/mV 16 0 -21 3541 0 aVL
A5392.mat 16x1+24 1000.0(0)/mV 16 0 71 -3101 0 aVF
A5392.mat 16x1+24 1000.0(0)/mV 16 0 15 3437 0 V1
A5392.mat 16x1+24 1000.0(0)/mV 16 0 -17 477 0 V2
A5392.mat 16x1+24 1000.0(0)/mV 16 0 87 -3516 0 V3
A5392.mat 16x1+24 1000.0(0)/mV 16 0 100 -2785 0 V4
A5392.mat 16x1+24 1000.0(0)/mV 16 0 15 135 0 V5
A5392.mat 16x1+24 1000.0(0)/mV 16 0 -195 594 0 V6
# Age: 83
# Sex: Male
# Dx: 164909002,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown