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

File: <base>/training/st_petersburg_incart/g1/I0045.hea (743 bytes) 
I0045 12 257 462600
I0045.mat 16x1+24 1000.0(0)/mv 16 0 1637 -13577 0 I
I0045.mat 16x1+24 1000.0(0)/mv 16 0 1059 21892 0 II
I0045.mat 16x1+24 1000.0(0)/mv 16 0 -39 -17825 0 III
I0045.mat 16x1+24 1000.0(0)/mv 16 0 -1518 -19728 0 aVR
I0045.mat 16x1+24 1000.0(0)/mv 16 0 989 -30440 0 aVL
I0045.mat 16x1+24 1000.0(0)/mv 16 0 178 -3556 0 aVF
I0045.mat 16x1+24 1000.0(0)/mv 16 0 25 -30537 0 V1
I0045.mat 16x1+24 1000.0(0)/mv 16 0 -495 30406 0 V2
I0045.mat 16x1+24 1000.0(0)/mv 16 0 -1263 -1786 0 V3
I0045.mat 16x1+24 1000.0(0)/mv 16 0 -672 -7213 0 V4
I0045.mat 16x1+24 1000.0(0)/mv 16 0 373 13462 0 V5
I0045.mat 16x1+24 1000.0(0)/mv 16 0 252 21715 0 V6
# Age: 53
# Sex: F
# Dx: 164873001,53741008,251182009
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown