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

File: <base>/training/georgia/g10/E09001.hea (725 bytes) 
E09001 12 500 5000
E09001.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2864 0 I
E09001.mat 16x1+24 1000.0(0)/mV 16 0 0 16414 0 II
E09001.mat 16x1+24 1000.0(0)/mV 16 0 58 19307 0 III
E09001.mat 16x1+24 1000.0(0)/mV 16 0 29 -6831 0 aVR
E09001.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10859 0 aVL
E09001.mat 16x1+24 1000.0(0)/mV 16 0 29 17680 0 aVF
E09001.mat 16x1+24 1000.0(0)/mV 16 0 48 13477 0 V1
E09001.mat 16x1+24 1000.0(0)/mV 16 0 -9 28455 0 V2
E09001.mat 16x1+24 1000.0(0)/mV 16 0 204 28969 0 V3
E09001.mat 16x1+24 1000.0(0)/mV 16 0 146 -7980 0 V4
E09001.mat 16x1+24 1000.0(0)/mV 16 0 9 -22271 0 V5
E09001.mat 16x1+24 1000.0(0)/mV 16 0 -136 2404 0 V6
# Age: 74
# Sex: Female
# Dx: 59118001,164889003,59931005
# Rx: Unknown
# Hx: Unknown