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

File: <base>/training/georgia/g10/E09837.hea (729 bytes) 
E09837 12 500 5000
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23882 0 I
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -156 14575 0 II
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -117 -26631 0 III
E09837.mat 16x1+24 1000.0(0)/mV 16 0 97 4741 0 aVR
E09837.mat 16x1+24 1000.0(0)/mV 16 0 39 877 0 aVL
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -136 -6047 0 aVF
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19032 0 V1
E09837.mat 16x1+24 1000.0(0)/mV 16 0 19 20203 0 V2
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -156 -10719 0 V3
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -204 12552 0 V4
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -117 -28996 0 V5
E09837.mat 16x1+24 1000.0(0)/mV 16 0 -107 -27383 0 V6
# Age: 64
# Sex: Male
# Dx: 164890007,233917008
# Rx: Unknown
# Hx: Unknown