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

File: <base>/training/st_petersburg_incart/g1/I0015.hea (743 bytes) 
I0015 12 257 462600
I0015.mat 16x1+24 1000.0(0)/mv 16 0 108 -32623 0 I
I0015.mat 16x1+24 1000.0(0)/mv 16 0 -2380 -17882 0 II
I0015.mat 16x1+24 1000.0(0)/mv 16 0 -928 11526 0 III
I0015.mat 16x1+24 1000.0(0)/mv 16 0 186 28886 0 aVR
I0015.mat 16x1+24 1000.0(0)/mv 16 0 19 11744 0 aVL
I0015.mat 16x1+24 1000.0(0)/mv 16 0 -2154 19554 0 aVF
I0015.mat 16x1+24 1000.0(0)/mv 16 0 1697 28457 0 V1
I0015.mat 16x1+24 1000.0(0)/mv 16 0 676 -6090 0 V2
I0015.mat 16x1+24 1000.0(0)/mv 16 0 562 -13353 0 V3
I0015.mat 16x1+24 1000.0(0)/mv 16 0 665 17521 0 V4
I0015.mat 16x1+24 1000.0(0)/mv 16 0 -42 -1021 0 V5
I0015.mat 16x1+24 1000.0(0)/mv 16 0 -2266 -13374 0 V6
# Age: 57
# Sex: M
# Dx: 266257000,429622005,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown