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

File: <base>/training/st_petersburg_incart/g1/I0003.hea (745 bytes) 
I0003 12 257 462600
I0003.mat 16x1+24 1000.0(0)/mv 16 0 4302 -27915 0 I
I0003.mat 16x1+24 1000.0(0)/mv 16 0 2358 12428 0 II
I0003.mat 16x1+24 1000.0(0)/mv 16 0 -1980 -3869 0 III
I0003.mat 16x1+24 1000.0(0)/mv 16 0 -3342 10643 0 aVR
I0003.mat 16x1+24 1000.0(0)/mv 16 0 3155 28754 0 aVL
I0003.mat 16x1+24 1000.0(0)/mv 16 0 143 25720 0 aVF
I0003.mat 16x1+24 1000.0(0)/mv 16 0 -77 1847 0 V1
I0003.mat 16x1+24 1000.0(0)/mv 16 0 954 15296 0 V2
I0003.mat 16x1+24 1000.0(0)/mv 16 0 -31476 -26472 0 V3
I0003.mat 16x1+24 1000.0(0)/mv 16 0 3975 16151 0 V4
I0003.mat 16x1+24 1000.0(0)/mv 16 0 3324 29423 0 V5
I0003.mat 16x1+24 1000.0(0)/mv 16 0 4736 16346 0 V6
# Age: 59
# Sex: M
# Dx: 164931005,164884008,57054005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown