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

File: <base>/training/st_petersburg_incart/g1/I0017.hea (749 bytes) 
I0017 12 257 462600
I0017.mat 16x1+24 1000.0(0)/mv 16 0 551 -10256 0 I
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -665 2053 0 II
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -1138 3889 0 III
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -161 -23103 0 aVR
I0017.mat 16x1+24 1000.0(0)/mv 16 0 413 -13001 0 aVL
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -1146 7879 0 aVF
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -850 11991 0 V1
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -1075 23372 0 V2
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -756 8003 0 V3
I0017.mat 16x1+24 1000.0(0)/mv 16 0 -1390 11481 0 V4
I0017.mat 16x1+24 1000.0(0)/mv 16 0 12 6735 0 V5
I0017.mat 16x1+24 1000.0(0)/mv 16 0 28 15872 0 V6
# Age: 64
# Sex: M
# Dx: 59118001,266257000,426627000,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown