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

File: <base>/training/georgia/g9/E08315.hea (708 bytes) 
E08315 12 500 5000
E08315.mat 16x1+24 1000.0(0)/mV 16 0 9 11195 0 I
E08315.mat 16x1+24 1000.0(0)/mV 16 0 19 14554 0 II
E08315.mat 16x1+24 1000.0(0)/mV 16 0 9 4201 0 III
E08315.mat 16x1+24 1000.0(0)/mV 16 0 -14 -12869 0 aVR
E08315.mat 16x1+24 1000.0(0)/mV 16 0 0 3639 0 aVL
E08315.mat 16x1+24 1000.0(0)/mV 16 0 14 9536 0 aVF
E08315.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11923 0 V1
E08315.mat 16x1+24 1000.0(0)/mV 16 0 -19 2508 0 V2
E08315.mat 16x1+24 1000.0(0)/mV 16 0 0 30409 0 V3
E08315.mat 16x1+24 1000.0(0)/mV 16 0 -9 32751 0 V4
E08315.mat 16x1+24 1000.0(0)/mV 16 0 -19 -32760 0 V5
E08315.mat 16x1+24 1000.0(0)/mV 16 0 0 22142 0 V6
# Age: 70
# Sex: Female
# Dx: 59931005,164934002
# Rx: Unknown
# Hx: Unknown