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

File: <base>/training/st_petersburg_incart/g1/I0072.hea (760 bytes) 
I0072 12 257 462600
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -2342 -1973 0 I
I0072.mat 16x1+24 1000.0(0)/mv 16 0 829 11436 0 II
I0072.mat 16x1+24 1000.0(0)/mv 16 0 1655 -5748 0 III
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -733 32513 0 aVR
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -2835 -23995 0 aVL
I0072.mat 16x1+24 1000.0(0)/mv 16 0 348 30983 0 aVF
I0072.mat 16x1+24 1000.0(0)/mv 16 0 1351 21284 0 V1
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -2338 24877 0 V2
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -1167 2855 0 V3
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -2286 -15793 0 V4
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -4544 20426 0 V5
I0072.mat 16x1+24 1000.0(0)/mv 16 0 -3963 -31183 0 V6
# Age: 73
# Sex: M
# Dx: 164873001,53741008,427084000,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown