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

File: <base>/training/georgia/g10/E09217.hea (707 bytes) 
E09217 12 500 5000
E09217.mat 16x1+24 1000.0(0)/mV 16 0 39 -17653 0 I
E09217.mat 16x1+24 1000.0(0)/mV 16 0 -39 17669 0 II
E09217.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30173 0 III
E09217.mat 16x1+24 1000.0(0)/mV 16 0 0 32667 0 aVR
E09217.mat 16x1+24 1000.0(0)/mV 16 0 58 6144 0 aVL
E09217.mat 16x1+24 1000.0(0)/mV 16 0 -58 26613 0 aVF
E09217.mat 16x1+24 1000.0(0)/mV 16 0 -39 8050 0 V1
E09217.mat 16x1+24 1000.0(0)/mV 16 0 9 -18466 0 V2
E09217.mat 16x1+24 1000.0(0)/mV 16 0 9 31946 0 V3
E09217.mat 16x1+24 1000.0(0)/mV 16 0 -117 -27567 0 V4
E09217.mat 16x1+24 1000.0(0)/mV 16 0 -68 8497 0 V5
E09217.mat 16x1+24 1000.0(0)/mV 16 0 -29 -964 0 V6
# Age: 79
# Sex: Female
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown