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

File: <base>/training/georgia/g5/E04143.hea (712 bytes) 
E04143 12 500 5000
E04143.mat 16x1+24 1000.0(0)/mV 16 0 24 29822 0 I
E04143.mat 16x1+24 1000.0(0)/mV 16 0 0 6944 0 II
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -24 -23133 0 III
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -12 -18389 0 aVR
E04143.mat 16x1+24 1000.0(0)/mV 16 0 24 26622 0 aVL
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -12 -7794 0 aVF
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -82 -16544 0 V1
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5736 0 V2
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -68 15870 0 V3
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -73 19948 0 V4
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -78 23260 0 V5
E04143.mat 16x1+24 1000.0(0)/mV 16 0 -53 22406 0 V6
# Age: 55
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown