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

File: <base>/training/st_petersburg_incart/g1/I0029.hea (743 bytes) 
I0029 12 257 462600
I0029.mat 16x1+24 1000.0(0)/mv 16 0 1193 -13604 0 I
I0029.mat 16x1+24 1000.0(0)/mv 16 0 1632 -5879 0 II
I0029.mat 16x1+24 1000.0(0)/mv 16 0 1415 16387 0 III
I0029.mat 16x1+24 1000.0(0)/mv 16 0 -930 -29122 0 aVR
I0029.mat 16x1+24 1000.0(0)/mv 16 0 652 32220 0 aVL
I0029.mat 16x1+24 1000.0(0)/mv 16 0 1836 6833 0 aVF
I0029.mat 16x1+24 1000.0(0)/mv 16 0 2060 -1519 0 V1
I0029.mat 16x1+24 1000.0(0)/mv 16 0 -342 375 0 V2
I0029.mat 16x1+24 1000.0(0)/mv 16 0 912 5064 0 V3
I0029.mat 16x1+24 1000.0(0)/mv 16 0 -4579 -30881 0 V4
I0029.mat 16x1+24 1000.0(0)/mv 16 0 -1643 -3534 0 V5
I0029.mat 16x1+24 1000.0(0)/mv 16 0 -1723 2362 0 V6
# Age: 41
# Sex: F
# Dx: 425856008,164884008,251182009
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown