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

File: <base>/training/georgia/g5/E04112.hea (726 bytes) 
E04112 12 500 5000
E04112.mat 16x1+24 1000.0(0)/mV 16 0 673 341 0 I
E04112.mat 16x1+24 1000.0(0)/mV 16 0 692 -25787 0 II
E04112.mat 16x1+24 1000.0(0)/mV 16 0 19 -25590 0 III
E04112.mat 16x1+24 1000.0(0)/mV 16 0 -683 12755 0 aVR
E04112.mat 16x1+24 1000.0(0)/mV 16 0 326 13680 0 aVL
E04112.mat 16x1+24 1000.0(0)/mV 16 0 356 -25679 0 aVF
E04112.mat 16x1+24 1000.0(0)/mV 16 0 -1132 -20758 0 V1
E04112.mat 16x1+24 1000.0(0)/mV 16 0 -1717 22058 0 V2
E04112.mat 16x1+24 1000.0(0)/mV 16 0 -126 67 0 V3
E04112.mat 16x1+24 1000.0(0)/mV 16 0 644 -22646 0 V4
E04112.mat 16x1+24 1000.0(0)/mV 16 0 868 15958 0 V5
E04112.mat 16x1+24 1000.0(0)/mV 16 0 800 9610 0 V6
# Age: 42
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown