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

File: <base>/training/georgia/g10/E09381.hea (719 bytes) 
E09381 12 500 5000
E09381.mat 16x1+24 1000.0(0)/mV 16 0 0 -20154 0 I
E09381.mat 16x1+24 1000.0(0)/mV 16 0 29 -13850 0 II
E09381.mat 16x1+24 1000.0(0)/mV 16 0 29 6766 0 III
E09381.mat 16x1+24 1000.0(0)/mV 16 0 -14 -15987 0 aVR
E09381.mat 16x1+24 1000.0(0)/mV 16 0 -14 19325 0 aVL
E09381.mat 16x1+24 1000.0(0)/mV 16 0 29 -3560 0 aVF
E09381.mat 16x1+24 1000.0(0)/mV 16 0 -39 22463 0 V1
E09381.mat 16x1+24 1000.0(0)/mV 16 0 58 -5723 0 V2
E09381.mat 16x1+24 1000.0(0)/mV 16 0 -9 9796 0 V3
E09381.mat 16x1+24 1000.0(0)/mV 16 0 -87 -17251 0 V4
E09381.mat 16x1+24 1000.0(0)/mV 16 0 -185 26609 0 V5
E09381.mat 16x1+24 1000.0(0)/mV 16 0 -107 25511 0 V6
# Age: 54
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown