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

File: <base>/training/georgia/g6/E05423.hea (712 bytes) 
E05423 12 500 5000
E05423.mat 16x1+24 1000.0(0)/mV 16 0 19 -30992 0 I
E05423.mat 16x1+24 1000.0(0)/mV 16 0 117 10705 0 II
E05423.mat 16x1+24 1000.0(0)/mV 16 0 97 -23901 0 III
E05423.mat 16x1+24 1000.0(0)/mV 16 0 -68 10174 0 aVR
E05423.mat 16x1+24 1000.0(0)/mV 16 0 -39 -3557 0 aVL
E05423.mat 16x1+24 1000.0(0)/mV 16 0 107 -6475 0 aVF
E05423.mat 16x1+24 1000.0(0)/mV 16 0 68 -27387 0 V1
E05423.mat 16x1+24 1000.0(0)/mV 16 0 302 1847 0 V2
E05423.mat 16x1+24 1000.0(0)/mV 16 0 234 6957 0 V3
E05423.mat 16x1+24 1000.0(0)/mV 16 0 175 -3672 0 V4
E05423.mat 16x1+24 1000.0(0)/mV 16 0 146 14386 0 V5
E05423.mat 16x1+24 1000.0(0)/mV 16 0 117 15490 0 V6
# Age: 21
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown