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

File: <base>/training/georgia/g7/E06234.hea (730 bytes) 
E06234 12 500 5000
E06234.mat 16x1+24 1000.0(0)/mV 16 0 361 -14262 0 I
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -458 15174 0 II
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -819 29868 0 III
E06234.mat 16x1+24 1000.0(0)/mV 16 0 48 32298 0 aVR
E06234.mat 16x1+24 1000.0(0)/mV 16 0 590 10721 0 aVL
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -639 22379 0 aVF
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -283 -32020 0 V1
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -419 14709 0 V2
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -741 17621 0 V3
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -644 3792 0 V4
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -556 28 0 V5
E06234.mat 16x1+24 1000.0(0)/mV 16 0 -439 14713 0 V6
# Age: 83
# Sex: Female
# Dx: 164873001,427084000
# Rx: Unknown
# Hx: Unknown