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

File: <base>/training/georgia/g10/E09699.hea (728 bytes) 
E09699 12 500 5000
E09699.mat 16x1+24 1000.0(0)/mV 16 0 -68 32041 0 I
E09699.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5630 0 II
E09699.mat 16x1+24 1000.0(0)/mV 16 0 39 28311 0 III
E09699.mat 16x1+24 1000.0(0)/mV 16 0 48 19595 0 aVR
E09699.mat 16x1+24 1000.0(0)/mV 16 0 -53 -30500 0 aVL
E09699.mat 16x1+24 1000.0(0)/mV 16 0 4 11452 0 aVF
E09699.mat 16x1+24 1000.0(0)/mV 16 0 87 20657 0 V1
E09699.mat 16x1+24 1000.0(0)/mV 16 0 29 -22499 0 V2
E09699.mat 16x1+24 1000.0(0)/mV 16 0 29 26938 0 V3
E09699.mat 16x1+24 1000.0(0)/mV 16 0 29 -26629 0 V4
E09699.mat 16x1+24 1000.0(0)/mV 16 0 29 -4348 0 V5
E09699.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24301 0 V6
# Age: 65
# Sex: Female
# Dx: 39732003,426434006,164917005
# Rx: Unknown
# Hx: Unknown