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

File: <base>/training/georgia/g10/E09012.hea (725 bytes) 
E09012 12 500 5000
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19722 0 I
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3210 0 II
E09012.mat 16x1+24 1000.0(0)/mV 16 0 0 16669 0 III
E09012.mat 16x1+24 1000.0(0)/mV 16 0 48 -21376 0 aVR
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -24 14698 0 aVL
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -24 6780 0 aVF
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -19 8782 0 V1
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -48 24249 0 V2
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -117 24007 0 V3
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -107 -9688 0 V4
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31637 0 V5
E09012.mat 16x1+24 1000.0(0)/mV 16 0 -68 -29386 0 V6
# Age: 60
# Sex: Female
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown