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

File: <base>/training/georgia/g5/E04923.hea (730 bytes) 
E04923 12 500 5000
E04923.mat 16x1+24 1000.0(0)/mV 16 0 0 17071 0 I
E04923.mat 16x1+24 1000.0(0)/mV 16 0 -58 4354 0 II
E04923.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13033 0 III
E04923.mat 16x1+24 1000.0(0)/mV 16 0 29 -10693 0 aVR
E04923.mat 16x1+24 1000.0(0)/mV 16 0 29 15015 0 aVL
E04923.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4318 0 aVF
E04923.mat 16x1+24 1000.0(0)/mV 16 0 73 -13578 0 V1
E04923.mat 16x1+24 1000.0(0)/mV 16 0 4 -6399 0 V2
E04923.mat 16x1+24 1000.0(0)/mV 16 0 112 18562 0 V3
E04923.mat 16x1+24 1000.0(0)/mV 16 0 -126 17086 0 V4
E04923.mat 16x1+24 1000.0(0)/mV 16 0 -112 22139 0 V5
E04923.mat 16x1+24 1000.0(0)/mV 16 0 -73 2033 0 V6
# Age: 62
# Sex: Female
# Dx: 426434006,164934002,251268003
# Rx: Unknown
# Hx: Unknown