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

File: <base>/training/georgia/g10/E09914.hea (734 bytes) 
E09914 12 500 5000
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -161 21988 0 I
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -141 22648 0 II
E09914.mat 16x1+24 1000.0(0)/mV 16 0 19 504 0 III
E09914.mat 16x1+24 1000.0(0)/mV 16 0 151 10481 0 aVR
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -90 -21754 0 aVL
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -61 11757 0 aVF
E09914.mat 16x1+24 1000.0(0)/mV 16 0 24 30452 0 V1
E09914.mat 16x1+24 1000.0(0)/mV 16 0 0 1662 0 V2
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29684 0 V3
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -78 28742 0 V4
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -117 -24939 0 V5
E09914.mat 16x1+24 1000.0(0)/mV 16 0 -131 -19450 0 V6
# Age: 74
# Sex: Female
# Dx: 428750005,59931005,164934002
# Rx: Unknown
# Hx: Unknown