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

File: <base>/training/georgia/g2/E01929.hea (730 bytes) 
E01929 12 500 5000
E01929.mat 16x1+24 1000.0(0)/mV 16 0 107 -29746 0 I
E01929.mat 16x1+24 1000.0(0)/mV 16 0 78 628 0 II
E01929.mat 16x1+24 1000.0(0)/mV 16 0 -29 31271 0 III
E01929.mat 16x1+24 1000.0(0)/mV 16 0 -92 -17976 0 aVR
E01929.mat 16x1+24 1000.0(0)/mV 16 0 68 2083 0 aVL
E01929.mat 16x1+24 1000.0(0)/mV 16 0 24 16006 0 aVF
E01929.mat 16x1+24 1000.0(0)/mV 16 0 -107 11171 0 V1
E01929.mat 16x1+24 1000.0(0)/mV 16 0 -19 8602 0 V2
E01929.mat 16x1+24 1000.0(0)/mV 16 0 244 18817 0 V3
E01929.mat 16x1+24 1000.0(0)/mV 16 0 273 18497 0 V4
E01929.mat 16x1+24 1000.0(0)/mV 16 0 283 18369 0 V5
E01929.mat 16x1+24 1000.0(0)/mV 16 0 292 17698 0 V6
# Age: 62
# Sex: Female
# Dx: 425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown