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

File: <base>/training/georgia/g1/E00392.hea (732 bytes) 
E00392 12 500 5000
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -209 -6477 0 I
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -175 -24562 0 II
E00392.mat 16x1+24 1000.0(0)/mV 16 0 34 -18222 0 III
E00392.mat 16x1+24 1000.0(0)/mV 16 0 192 15512 0 aVR
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -122 6206 0 aVL
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -70 -21128 0 aVF
E00392.mat 16x1+24 1000.0(0)/mV 16 0 24 10451 0 V1
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -112 -18690 0 V2
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -53 11106 0 V3
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -151 24339 0 V4
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -156 26881 0 V5
E00392.mat 16x1+24 1000.0(0)/mV 16 0 -117 15940 0 V6
# Age: 86
# Sex: Female
# Dx: 164889003,425419005
# Rx: Unknown
# Hx: Unknown