Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(707 bytes)
E09904 12 500 2500
E09904.mat 16x1+24 1000.0(0)/mV 16 0 29 -6430 0 I
E09904.mat 16x1+24 1000.0(0)/mV 16 0 117 -9597 0 II
E09904.mat 16x1+24 1000.0(0)/mV 16 0 87 -2986 0 III
E09904.mat 16x1+24 1000.0(0)/mV 16 0 -73 7993 0 aVR
E09904.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1629 0 aVL
E09904.mat 16x1+24 1000.0(0)/mV 16 0 102 -6368 0 aVF
E09904.mat 16x1+24 1000.0(0)/mV 16 0 0 -27611 0 V1
E09904.mat 16x1+24 1000.0(0)/mV 16 0 136 -31569 0 V2
E09904.mat 16x1+24 1000.0(0)/mV 16 0 107 -8634 0 V3
E09904.mat 16x1+24 1000.0(0)/mV 16 0 97 1544 0 V4
E09904.mat 16x1+24 1000.0(0)/mV 16 0 58 6281 0 V5
E09904.mat 16x1+24 1000.0(0)/mV 16 0 19 -12498 0 V6
# Age: 69
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown