Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g6/E05409.hea (702 bytes) 
E05409 12 500 5000
E05409.mat 16x1+24 1000.0(0)/mV 16 0 9 -32074 0 I
E05409.mat 16x1+24 1000.0(0)/mV 16 0 9 -28631 0 II
E05409.mat 16x1+24 1000.0(0)/mV 16 0 0 3516 0 III
E05409.mat 16x1+24 1000.0(0)/mV 16 0 -9 30299 0 aVR
E05409.mat 16x1+24 1000.0(0)/mV 16 0 4 -17591 0 aVL
E05409.mat 16x1+24 1000.0(0)/mV 16 0 4 -12393 0 aVF
E05409.mat 16x1+24 1000.0(0)/mV 16 0 0 29033 0 V1
E05409.mat 16x1+24 1000.0(0)/mV 16 0 117 -25841 0 V2
E05409.mat 16x1+24 1000.0(0)/mV 16 0 224 533 0 V3
E05409.mat 16x1+24 1000.0(0)/mV 16 0 39 -23300 0 V4
E05409.mat 16x1+24 1000.0(0)/mV 16 0 87 24527 0 V5
E05409.mat 16x1+24 1000.0(0)/mV 16 0 19 -28145 0 V6
# Age: 45
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown