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

File: <base>/training/st_petersburg_incart/g1/I0041.hea (752 bytes) 
I0041 12 257 462600
I0041.mat 16x1+24 1000.0(0)/mv 16 0 -663 -25091 0 I
I0041.mat 16x1+24 1000.0(0)/mv 16 0 6326 8291 0 II
I0041.mat 16x1+24 1000.0(0)/mv 16 0 6953 14096 0 III
I0041.mat 16x1+24 1000.0(0)/mv 16 0 -2839 -14564 0 aVR
I0041.mat 16x1+24 1000.0(0)/mv 16 0 -3788 11670 0 aVL
I0041.mat 16x1+24 1000.0(0)/mv 16 0 6647 -339 0 aVF
I0041.mat 16x1+24 1000.0(0)/mv 16 0 -2618 20500 0 V1
I0041.mat 16x1+24 1000.0(0)/mv 16 0 -2772 -17600 0 V2
I0041.mat 16x1+24 1000.0(0)/mv 16 0 4891 -6267 0 V3
I0041.mat 16x1+24 1000.0(0)/mv 16 0 -2674 -15724 0 V4
I0041.mat 16x1+24 1000.0(0)/mv 16 0 -1907 11278 0 V5
I0041.mat 16x1+24 1000.0(0)/mv 16 0 4140 11836 0 V6
# Age: 66
# Sex: M
# Dx: 266257000,427393009,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown