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

File: <base>/training/st_petersburg_incart/g1/I0043.hea (763 bytes) 
I0043 12 257 462600
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -3634 -7235 0 I
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -3549 2542 0 II
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -410 -10759 0 III
I0043.mat 16x1+24 1000.0(0)/mv 16 0 3567 -9987 0 aVR
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -1794 -3748 0 aVL
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -1943 -3074 0 aVF
I0043.mat 16x1+24 1000.0(0)/mv 16 0 1945 19047 0 V1
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -1037 2423 0 V2
I0043.mat 16x1+24 1000.0(0)/mv 16 0 345 4360 0 V3
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -571 4436 0 V4
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -1431 507 0 V5
I0043.mat 16x1+24 1000.0(0)/mv 16 0 -361 -11046 0 V6
# Age: 19
# Sex: M
# Dx: 11157007,251182009,49260003,425856008,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown