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

File: <base>/training/st_petersburg_incart/g1/I0058.hea (743 bytes) 
I0058 12 257 462600
I0058.mat 16x1+24 1000.0(0)/mv 16 0 1412 8206 0 I
I0058.mat 16x1+24 1000.0(0)/mv 16 0 1174 -19136 0 II
I0058.mat 16x1+24 1000.0(0)/mv 16 0 538 26233 0 III
I0058.mat 16x1+24 1000.0(0)/mv 16 0 -2002 -10161 0 aVR
I0058.mat 16x1+24 1000.0(0)/mv 16 0 -500 25503 0 aVL
I0058.mat 16x1+24 1000.0(0)/mv 16 0 15 6172 0 aVF
I0058.mat 16x1+24 1000.0(0)/mv 16 0 2063 -16615 0 V1
I0058.mat 16x1+24 1000.0(0)/mv 16 0 2390 -24628 0 V2
I0058.mat 16x1+24 1000.0(0)/mv 16 0 2806 -3510 0 V3
I0058.mat 16x1+24 1000.0(0)/mv 16 0 -31476 -30268 0 V4
I0058.mat 16x1+24 1000.0(0)/mv 16 0 296 -1223 0 V5
I0058.mat 16x1+24 1000.0(0)/mv 16 0 309 -426 0 V6
# Age: 45
# Sex: F
# Dx: 53741008,426627000,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown