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

File: <base>/training/georgia/g2/E01313.hea (725 bytes) 
E01313 12 500 5000
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -39 12342 0 I
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -156 -8756 0 II
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -117 -20983 0 III
E01313.mat 16x1+24 1000.0(0)/mV 16 0 97 30853 0 aVR
E01313.mat 16x1+24 1000.0(0)/mV 16 0 39 16836 0 aVL
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -136 18011 0 aVF
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14873 0 V1
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23079 0 V2
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22569 0 V3
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18185 0 V4
E01313.mat 16x1+24 1000.0(0)/mV 16 0 48 -8682 0 V5
E01313.mat 16x1+24 1000.0(0)/mV 16 0 -9 19586 0 V6
# Age: 59
# Sex: Male
# Dx: 59118001,427084000
# Rx: Unknown
# Hx: Unknown