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

File: <base>/training/georgia/g10/E09905.hea (719 bytes) 
E09905 12 500 5000
E09905.mat 16x1+24 1000.0(0)/mV 16 0 107 -16818 0 I
E09905.mat 16x1+24 1000.0(0)/mV 16 0 292 -2425 0 II
E09905.mat 16x1+24 1000.0(0)/mV 16 0 185 14155 0 III
E09905.mat 16x1+24 1000.0(0)/mV 16 0 -200 -23277 0 aVR
E09905.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15491 0 aVL
E09905.mat 16x1+24 1000.0(0)/mV 16 0 239 -26741 0 aVF
E09905.mat 16x1+24 1000.0(0)/mV 16 0 -126 -30045 0 V1
E09905.mat 16x1+24 1000.0(0)/mV 16 0 -9 -30230 0 V2
E09905.mat 16x1+24 1000.0(0)/mV 16 0 87 31588 0 V3
E09905.mat 16x1+24 1000.0(0)/mV 16 0 507 -30218 0 V4
E09905.mat 16x1+24 1000.0(0)/mV 16 0 839 31861 0 V5
E09905.mat 16x1+24 1000.0(0)/mV 16 0 732 26535 0 V6
# Age: 69
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown