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

File: <base>/training/georgia/g10/E09989.hea (740 bytes) 
E09989 12 500 2500
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -107 15563 0 I
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -58 -30351 0 II
E09989.mat 16x1+24 1000.0(0)/mV 16 0 48 19617 0 III
E09989.mat 16x1+24 1000.0(0)/mV 16 0 82 7547 0 aVR
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -78 -2053 0 aVL
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -4 -5312 0 aVF
E09989.mat 16x1+24 1000.0(0)/mV 16 0 9 24385 0 V1
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -39 15423 0 V2
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -78 27156 0 V3
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30190 0 V4
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -39 22994 0 V5
E09989.mat 16x1+24 1000.0(0)/mV 16 0 -117 27704 0 V6
# Age: 73
# Sex: Male
# Dx: 425419005,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown