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

File: <base>/training/georgia/g6/E05928.hea (743 bytes) 
E05928 12 500 5000
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -39 19171 0 I
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29923 0 II
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -9 15620 0 III
E05928.mat 16x1+24 1000.0(0)/mV 16 0 43 -27924 0 aVR
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -14 -30753 0 aVL
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6799 0 aVF
E05928.mat 16x1+24 1000.0(0)/mV 16 0 29 -29616 0 V1
E05928.mat 16x1+24 1000.0(0)/mV 16 0 48 -9532 0 V2
E05928.mat 16x1+24 1000.0(0)/mV 16 0 19 -18985 0 V3
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1214 0 V4
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16153 0 V5
E05928.mat 16x1+24 1000.0(0)/mV 16 0 -39 5747 0 V6
# Age: 62
# Sex: Female
# Dx: 426177001,251146004,284470004,284470004
# Rx: Unknown
# Hx: Unknown