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

File: <base>/training/georgia/g2/E01293.hea (716 bytes) 
E01293 12 500 5000
E01293.mat 16x1+24 1000.0(0)/mV 16 0 9 21791 0 I
E01293.mat 16x1+24 1000.0(0)/mV 16 0 156 -22684 0 II
E01293.mat 16x1+24 1000.0(0)/mV 16 0 146 21719 0 III
E01293.mat 16x1+24 1000.0(0)/mV 16 0 -82 313 0 aVR
E01293.mat 16x1+24 1000.0(0)/mV 16 0 -68 32043 0 aVL
E01293.mat 16x1+24 1000.0(0)/mV 16 0 151 32248 0 aVF
E01293.mat 16x1+24 1000.0(0)/mV 16 0 87 -3714 0 V1
E01293.mat 16x1+24 1000.0(0)/mV 16 0 126 21110 0 V2
E01293.mat 16x1+24 1000.0(0)/mV 16 0 97 -31277 0 V3
E01293.mat 16x1+24 1000.0(0)/mV 16 0 97 -28446 0 V4
E01293.mat 16x1+24 1000.0(0)/mV 16 0 97 -14242 0 V5
E01293.mat 16x1+24 1000.0(0)/mV 16 0 48 7072 0 V6
# Age: 54
# Sex: Male
# Dx: 428417006,427393009
# Rx: Unknown
# Hx: Unknown