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

File: <base>/training/georgia/g1/E00064.hea (725 bytes) 
E00064 12 500 5000
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -87 -1986 0 I
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -58 -31782 0 II
E00064.mat 16x1+24 1000.0(0)/mV 16 0 29 -30957 0 III
E00064.mat 16x1+24 1000.0(0)/mV 16 0 73 16860 0 aVR
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -58 14603 0 aVL
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -14 -30890 0 aVF
E00064.mat 16x1+24 1000.0(0)/mV 16 0 97 7037 0 V1
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -97 -18876 0 V2
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -39 6318 0 V3
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -58 11801 0 V4
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24364 0 V5
E00064.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24274 0 V6
# Age: 78
# Sex: Female
# Dx: 164873001,427393009
# Rx: Unknown
# Hx: Unknown