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

File: <base>/training/georgia/g10/E09176.hea (745 bytes) 
E09176 12 500 5000
E09176.mat 16x1+24 1000.0(0)/mV 16 0 -224 -9319 0 I
E09176.mat 16x1+24 1000.0(0)/mV 16 0 -146 -17603 0 II
E09176.mat 16x1+24 1000.0(0)/mV 16 0 78 -8065 0 III
E09176.mat 16x1+24 1000.0(0)/mV 16 0 185 13526 0 aVR
E09176.mat 16x1+24 1000.0(0)/mV 16 0 -151 -374 0 aVL
E09176.mat 16x1+24 1000.0(0)/mV 16 0 -34 -12637 0 aVF
E09176.mat 16x1+24 1000.0(0)/mV 16 0 556 -19582 0 V1
E09176.mat 16x1+24 1000.0(0)/mV 16 0 702 -26634 0 V2
E09176.mat 16x1+24 1000.0(0)/mV 16 0 507 -32599 0 V3
E09176.mat 16x1+24 1000.0(0)/mV 16 0 536 -31825 0 V4
E09176.mat 16x1+24 1000.0(0)/mV 16 0 527 29683 0 V5
E09176.mat 16x1+24 1000.0(0)/mV 16 0 283 -21816 0 V6
# Age: 68
# Sex: Female
# Dx: 164909002,67741000119109,6374002
# Rx: Unknown
# Hx: Unknown