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

File: <base>/training/georgia/g10/E09366.hea (724 bytes)
E09366 12 500 5000
E09366.mat 16x1+24 1000.0(0)/mV 16 0 -107 -27456 0 I
E09366.mat 16x1+24 1000.0(0)/mV 16 0 0 -5233 0 II
E09366.mat 16x1+24 1000.0(0)/mV 16 0 107 22396 0 III
E09366.mat 16x1+24 1000.0(0)/mV 16 0 53 16006 0 aVR
E09366.mat 16x1+24 1000.0(0)/mV 16 0 -107 -24882 0 aVL
E09366.mat 16x1+24 1000.0(0)/mV 16 0 53 8572 0 aVF
E09366.mat 16x1+24 1000.0(0)/mV 16 0 9 -28753 0 V1
E09366.mat 16x1+24 1000.0(0)/mV 16 0 19 10847 0 V2
E09366.mat 16x1+24 1000.0(0)/mV 16 0 -9 21739 0 V3
E09366.mat 16x1+24 1000.0(0)/mV 16 0 -175 32062 0 V4
E09366.mat 16x1+24 1000.0(0)/mV 16 0 -136 -29608 0 V5
E09366.mat 16x1+24 1000.0(0)/mV 16 0 -214 31458 0 V6
# Age: 44
# Sex: Female
# Dx: 164873001,427393009
# Rx: Unknown
# Hx: Unknown