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

File: <base>/training/st_petersburg_incart/g1/I0034.hea (748 bytes) 
I0034 12 257 462600
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -1138 30349 0 I
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -2193 -22697 0 II
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -1128 24478 0 III
I0034.mat 16x1+24 1000.0(0)/mv 16 0 1462 -23791 0 aVR
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -105 -3678 0 aVL
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -1713 -17464 0 aVF
I0034.mat 16x1+24 1000.0(0)/mv 16 0 331 -7023 0 V1
I0034.mat 16x1+24 1000.0(0)/mv 16 0 1626 6204 0 V2
I0034.mat 16x1+24 1000.0(0)/mv 16 0 2729 16197 0 V3
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -138 -6126 0 V4
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -767 -22238 0 V5
I0034.mat 16x1+24 1000.0(0)/mv 16 0 -580 12111 0 V6
# Age: 40
# Sex: M
# Dx: 67198005,63593006,251182009
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown