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

File: <base>/training/georgia/g6/E05362.hea (726 bytes) 
E05362 12 500 5000
E05362.mat 16x1+24 1000.0(0)/mV 16 0 -175 -4926 0 I
E05362.mat 16x1+24 1000.0(0)/mV 16 0 -29 2530 0 II
E05362.mat 16x1+24 1000.0(0)/mV 16 0 146 7474 0 III
E05362.mat 16x1+24 1000.0(0)/mV 16 0 102 1064 0 aVR
E05362.mat 16x1+24 1000.0(0)/mV 16 0 -161 -6086 0 aVL
E05362.mat 16x1+24 1000.0(0)/mV 16 0 58 4697 0 aVF
E05362.mat 16x1+24 1000.0(0)/mV 16 0 126 24028 0 V1
E05362.mat 16x1+24 1000.0(0)/mV 16 0 78 -14523 0 V2
E05362.mat 16x1+24 1000.0(0)/mV 16 0 58 -24933 0 V3
E05362.mat 16x1+24 1000.0(0)/mV 16 0 0 -8666 0 V4
E05362.mat 16x1+24 1000.0(0)/mV 16 0 234 -4180 0 V5
E05362.mat 16x1+24 1000.0(0)/mV 16 0 146 17452 0 V6
# Age: 70
# Sex: Female
# Dx: 164909002,6374002,39732003
# Rx: Unknown
# Hx: Unknown