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

File: <base>/training/georgia/g2/E01362.hea (716 bytes) 
E01362 12 500 5000
E01362.mat 16x1+24 1000.0(0)/mV 16 0 -19 -538 0 I
E01362.mat 16x1+24 1000.0(0)/mV 16 0 -68 28175 0 II
E01362.mat 16x1+24 1000.0(0)/mV 16 0 -48 29144 0 III
E01362.mat 16x1+24 1000.0(0)/mV 16 0 43 18836 0 aVR
E01362.mat 16x1+24 1000.0(0)/mV 16 0 14 17592 0 aVL
E01362.mat 16x1+24 1000.0(0)/mV 16 0 -58 28653 0 aVF
E01362.mat 16x1+24 1000.0(0)/mV 16 0 48 20626 0 V1
E01362.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9707 0 V2
E01362.mat 16x1+24 1000.0(0)/mV 16 0 9 -25680 0 V3
E01362.mat 16x1+24 1000.0(0)/mV 16 0 126 -22110 0 V4
E01362.mat 16x1+24 1000.0(0)/mV 16 0 0 4198 0 V5
E01362.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4482 0 V6
# Age: 73
# Sex: Female
# Dx: 59118001,253339007
# Rx: Unknown
# Hx: Unknown