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

File: <base>/training/georgia/g1/E00592.hea (709 bytes) 
E00592 12 500 5000
E00592.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29788 0 I
E00592.mat 16x1+24 1000.0(0)/mV 16 0 48 8070 0 II
E00592.mat 16x1+24 1000.0(0)/mV 16 0 107 -27370 0 III
E00592.mat 16x1+24 1000.0(0)/mV 16 0 4 10691 0 aVR
E00592.mat 16x1+24 1000.0(0)/mV 16 0 -82 31418 0 aVL
E00592.mat 16x1+24 1000.0(0)/mV 16 0 78 23259 0 aVF
E00592.mat 16x1+24 1000.0(0)/mV 16 0 0 -19386 0 V1
E00592.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24189 0 V2
E00592.mat 16x1+24 1000.0(0)/mV 16 0 -29 27162 0 V3
E00592.mat 16x1+24 1000.0(0)/mV 16 0 -9 5601 0 V4
E00592.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2269 0 V5
E00592.mat 16x1+24 1000.0(0)/mV 16 0 -29 11151 0 V6
# Age: 32
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown