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

File: <base>/training/georgia/g9/E08316.hea (703 bytes) 
E08316 12 500 5000
E08316.mat 16x1+24 1000.0(0)/mV 16 0 9 -1693 0 I
E08316.mat 16x1+24 1000.0(0)/mV 16 0 0 15130 0 II
E08316.mat 16x1+24 1000.0(0)/mV 16 0 -9 17648 0 III
E08316.mat 16x1+24 1000.0(0)/mV 16 0 -4 -6823 0 aVR
E08316.mat 16x1+24 1000.0(0)/mV 16 0 9 -10069 0 aVL
E08316.mat 16x1+24 1000.0(0)/mV 16 0 -4 16400 0 aVF
E08316.mat 16x1+24 1000.0(0)/mV 16 0 -9 24156 0 V1
E08316.mat 16x1+24 1000.0(0)/mV 16 0 -29 31559 0 V2
E08316.mat 16x1+24 1000.0(0)/mV 16 0 19 -26471 0 V3
E08316.mat 16x1+24 1000.0(0)/mV 16 0 19 -30414 0 V4
E08316.mat 16x1+24 1000.0(0)/mV 16 0 19 29595 0 V5
E08316.mat 16x1+24 1000.0(0)/mV 16 0 9 -17999 0 V6
# Age: 70
# Sex: Female
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown