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

File: <base>/training/georgia/g10/E09337.hea (736 bytes) 
E09337 12 500 5000
E09337.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6907 0 I
E09337.mat 16x1+24 1000.0(0)/mV 16 0 -48 -12605 0 II
E09337.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5383 0 III
E09337.mat 16x1+24 1000.0(0)/mV 16 0 34 9749 0 aVR
E09337.mat 16x1+24 1000.0(0)/mV 16 0 4 -927 0 aVL
E09337.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9028 0 aVF
E09337.mat 16x1+24 1000.0(0)/mV 16 0 87 -12028 0 V1
E09337.mat 16x1+24 1000.0(0)/mV 16 0 9 -3953 0 V2
E09337.mat 16x1+24 1000.0(0)/mV 16 0 39 -21852 0 V3
E09337.mat 16x1+24 1000.0(0)/mV 16 0 0 -21523 0 V4
E09337.mat 16x1+24 1000.0(0)/mV 16 0 0 -19054 0 V5
E09337.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8633 0 V6
# Age: 82
# Sex: Female
# Dx: 428750005,164934002,164890007,233917008
# Rx: Unknown
# Hx: Unknown