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

File: <base>/training/georgia/g10/E09249.hea (737 bytes) 
E09249 12 500 5000
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -39 7705 0 I
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -29 14304 0 II
E09249.mat 16x1+24 1000.0(0)/mV 16 0 9 6418 0 III
E09249.mat 16x1+24 1000.0(0)/mV 16 0 34 -11222 0 aVR
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -24 760 0 aVL
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -9 10209 0 aVF
E09249.mat 16x1+24 1000.0(0)/mV 16 0 19 16523 0 V1
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25907 0 V2
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -29 11211 0 V3
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -48 14716 0 V4
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9301 0 V5
E09249.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16797 0 V6
# Age: 68
# Sex: Female
# Dx: 428750005,426177001,59931005,427393009
# Rx: Unknown
# Hx: Unknown