Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(705 bytes)
E08434 12 500 5000
E08434.mat 16x1+24 1000.0(0)/mV 16 0 -29 18474 0 I
E08434.mat 16x1+24 1000.0(0)/mV 16 0 -19 25205 0 II
E08434.mat 16x1+24 1000.0(0)/mV 16 0 9 6644 0 III
E08434.mat 16x1+24 1000.0(0)/mV 16 0 24 -22141 0 aVR
E08434.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26499 0 aVL
E08434.mat 16x1+24 1000.0(0)/mV 16 0 -4 -16839 0 aVF
E08434.mat 16x1+24 1000.0(0)/mV 16 0 39 -5783 0 V1
E08434.mat 16x1+24 1000.0(0)/mV 16 0 -58 4238 0 V2
E08434.mat 16x1+24 1000.0(0)/mV 16 0 19 25493 0 V3
E08434.mat 16x1+24 1000.0(0)/mV 16 0 58 -14373 0 V4
E08434.mat 16x1+24 1000.0(0)/mV 16 0 39 11621 0 V5
E08434.mat 16x1+24 1000.0(0)/mV 16 0 -19 28539 0 V6
# Age: 68
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown