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

File: <base>/training/st_petersburg_incart/g1/I0014.hea (723 bytes) 
I0014 12 257 462600
I0014.mat 16x1+24 1000.0(0)/mv 16 0 3994 9375 0 I
I0014.mat 16x1+24 1000.0(0)/mv 16 0 4645 29896 0 II
I0014.mat 16x1+24 1000.0(0)/mv 16 0 1034 16800 0 III
I0014.mat 16x1+24 1000.0(0)/mv 16 0 -4363 10899 0 aVR
I0014.mat 16x1+24 1000.0(0)/mv 16 0 1112 -10639 0 aVL
I0014.mat 16x1+24 1000.0(0)/mv 16 0 2402 7478 0 aVF
I0014.mat 16x1+24 1000.0(0)/mv 16 0 1295 16078 0 V1
I0014.mat 16x1+24 1000.0(0)/mv 16 0 1156 1304 0 V2
I0014.mat 16x1+24 1000.0(0)/mv 16 0 4619 28090 0 V3
I0014.mat 16x1+24 1000.0(0)/mv 16 0 2086 31611 0 V4
I0014.mat 16x1+24 1000.0(0)/mv 16 0 -324 1756 0 V5
I0014.mat 16x1+24 1000.0(0)/mv 16 0 1655 -15103 0 V6
# Age: 39
# Sex: F
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown