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

File: <base>/training/st_petersburg_incart/g1/I0053.hea (739 bytes)
I0053 12 257 462600
I0053.mat 16x1+24 1000.0(0)/mv 16 0 -909 -25880 0 I
I0053.mat 16x1+24 1000.0(0)/mv 16 0 -2806 -30779 0 II
I0053.mat 16x1+24 1000.0(0)/mv 16 0 -1556 27837 0 III
I0053.mat 16x1+24 1000.0(0)/mv 16 0 1387 21157 0 aVR
I0053.mat 16x1+24 1000.0(0)/mv 16 0 84 12275 0 aVL
I0053.mat 16x1+24 1000.0(0)/mv 16 0 -2206 -6586 0 aVF
I0053.mat 16x1+24 1000.0(0)/mv 16 0 3600 22121 0 V1
I0053.mat 16x1+24 1000.0(0)/mv 16 0 -5102 15721 0 V2
I0053.mat 16x1+24 1000.0(0)/mv 16 0 5211 -15263 0 V3
I0053.mat 16x1+24 1000.0(0)/mv 16 0 4199 -3236 0 V4
I0053.mat 16x1+24 1000.0(0)/mv 16 0 3031 11580 0 V5
I0053.mat 16x1+24 1000.0(0)/mv 16 0 3026 24506 0 V6
# Age: 56
# Sex: M
# Dx: 251182009,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown