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

File: <base>/training/georgia/g6/E05223.hea (734 bytes) 
E05223 12 500 5000
E05223.mat 16x1+24 1000.0(0)/mV 16 0 -400 26394 0 I
E05223.mat 16x1+24 1000.0(0)/mV 16 0 -175 19900 0 II
E05223.mat 16x1+24 1000.0(0)/mV 16 0 224 -6573 0 III
E05223.mat 16x1+24 1000.0(0)/mV 16 0 287 9500 0 aVR
E05223.mat 16x1+24 1000.0(0)/mV 16 0 -312 16456 0 aVL
E05223.mat 16x1+24 1000.0(0)/mV 16 0 24 -26096 0 aVF
E05223.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27279 0 V1
E05223.mat 16x1+24 1000.0(0)/mV 16 0 -312 532 0 V2
E05223.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13386 0 V3
E05223.mat 16x1+24 1000.0(0)/mV 16 0 19 -15580 0 V4
E05223.mat 16x1+24 1000.0(0)/mV 16 0 29 -29484 0 V5
E05223.mat 16x1+24 1000.0(0)/mV 16 0 0 27318 0 V6
# Age: 54
# Sex: Female
# Dx: 111975006,164930006,59931005
# Rx: Unknown
# Hx: Unknown