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

File: <base>/training/st_petersburg_incart/g1/I0061.hea (715 bytes) 
I0061 12 257 462600
I0061.mat 16x1+24 1000.0(0)/mv 16 0 985 27090 0 I
I0061.mat 16x1+24 1000.0(0)/mv 16 0 998 -22889 0 II
I0061.mat 16x1+24 1000.0(0)/mv 16 0 199 -8162 0 III
I0061.mat 16x1+24 1000.0(0)/mv 16 0 -943 3902 0 aVR
I0061.mat 16x1+24 1000.0(0)/mv 16 0 433 -16291 0 aVL
I0061.mat 16x1+24 1000.0(0)/mv 16 0 647 -18443 0 aVF
I0061.mat 16x1+24 1000.0(0)/mv 16 0 248 17951 0 V1
I0061.mat 16x1+24 1000.0(0)/mv 16 0 687 14515 0 V2
I0061.mat 16x1+24 1000.0(0)/mv 16 0 626 -7049 0 V3
I0061.mat 16x1+24 1000.0(0)/mv 16 0 387 8037 0 V4
I0061.mat 16x1+24 1000.0(0)/mv 16 0 -199 8279 0 V5
I0061.mat 16x1+24 1000.0(0)/mv 16 0 -1271 7226 0 V6
# Age: 49
# Sex: F
# Dx: 426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown