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

File: <base>/training/georgia/g10/E09668.hea (705 bytes) 
E09668 12 500 5000
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29578 0 I
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -24 384 0 II
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -4 29888 0 III
E09668.mat 16x1+24 1000.0(0)/mV 16 0 21 14450 0 aVR
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -7 -29622 0 aVL
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -14 15200 0 aVF
E09668.mat 16x1+24 1000.0(0)/mV 16 0 9 -27344 0 V1
E09668.mat 16x1+24 1000.0(0)/mV 16 0 19 27217 0 V2
E09668.mat 16x1+24 1000.0(0)/mV 16 0 48 9142 0 V3
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -9 25231 0 V4
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -9 11594 0 V5
E09668.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23351 0 V6
# Age: 69
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown