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

File: <base>/training/st_petersburg_incart/g1/I0039.hea (755 bytes) 
I0039 12 257 462600
I0039.mat 16x1+24 1000.0(0)/mv 16 0 -6274 -7143 0 I
I0039.mat 16x1+24 1000.0(0)/mv 16 0 -3333 15830 0 II
I0039.mat 16x1+24 1000.0(0)/mv 16 0 588 -29960 0 III
I0039.mat 16x1+24 1000.0(0)/mv 16 0 4360 17672 0 aVR
I0039.mat 16x1+24 1000.0(0)/mv 16 0 -3909 22769 0 aVL
I0039.mat 16x1+24 1000.0(0)/mv 16 0 -2990 -9620 0 aVF
I0039.mat 16x1+24 1000.0(0)/mv 16 0 3068 -25374 0 V1
I0039.mat 16x1+24 1000.0(0)/mv 16 0 603 -2137 0 V2
I0039.mat 16x1+24 1000.0(0)/mv 16 0 5628 4139 0 V3
I0039.mat 16x1+24 1000.0(0)/mv 16 0 2656 27300 0 V4
I0039.mat 16x1+24 1000.0(0)/mv 16 0 39 -17340 0 V5
I0039.mat 16x1+24 1000.0(0)/mv 16 0 1934 22780 0 V6
# Age: 60
# Sex: F
# Dx: 53741008,426627000,164884008,251182009
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown