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

File: <base>/training/georgia/g1/E00432.hea (724 bytes) 
E00432 12 500 5000
E00432.mat 16x1+24 1000.0(0)/mV 16 0 -48 13646 0 I
E00432.mat 16x1+24 1000.0(0)/mV 16 0 -136 23760 0 II
E00432.mat 16x1+24 1000.0(0)/mV 16 0 -87 10658 0 III
E00432.mat 16x1+24 1000.0(0)/mV 16 0 92 -18536 0 aVR
E00432.mat 16x1+24 1000.0(0)/mV 16 0 19 1718 0 aVL
E00432.mat 16x1+24 1000.0(0)/mV 16 0 -112 17215 0 aVF
E00432.mat 16x1+24 1000.0(0)/mV 16 0 39 -17419 0 V1
E00432.mat 16x1+24 1000.0(0)/mV 16 0 805 -4165 0 V2
E00432.mat 16x1+24 1000.0(0)/mV 16 0 156 -35 0 V3
E00432.mat 16x1+24 1000.0(0)/mV 16 0 -136 14439 0 V4
E00432.mat 16x1+24 1000.0(0)/mV 16 0 -229 6901 0 V5
E00432.mat 16x1+24 1000.0(0)/mV 16 0 -175 12979 0 V6
# Age: 40
# Sex: Female
# Dx: 164934002,427084000
# Rx: Unknown
# Hx: Unknown