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

File: <base>/training/georgia/g10/E09312.hea (710 bytes) 
E09312 12 500 5000
E09312.mat 16x1+24 1000.0(0)/mV 16 0 -29 28867 0 I
E09312.mat 16x1+24 1000.0(0)/mV 16 0 -29 19525 0 II
E09312.mat 16x1+24 1000.0(0)/mV 16 0 0 -8833 0 III
E09312.mat 16x1+24 1000.0(0)/mV 16 0 29 8546 0 aVR
E09312.mat 16x1+24 1000.0(0)/mV 16 0 -14 18973 0 aVL
E09312.mat 16x1+24 1000.0(0)/mV 16 0 -14 -27402 0 aVF
E09312.mat 16x1+24 1000.0(0)/mV 16 0 0 18818 0 V1
E09312.mat 16x1+24 1000.0(0)/mV 16 0 -9 5962 0 V2
E09312.mat 16x1+24 1000.0(0)/mV 16 0 9 2524 0 V3
E09312.mat 16x1+24 1000.0(0)/mV 16 0 19 -2175 0 V4
E09312.mat 16x1+24 1000.0(0)/mV 16 0 19 -4896 0 V5
E09312.mat 16x1+24 1000.0(0)/mV 16 0 -9 4455 0 V6
# Age: 66
# Sex: Female
# Dx: 164884008,427084000
# Rx: Unknown
# Hx: Unknown