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

File: <base>/training/st_petersburg_incart/g1/I0007.hea (751 bytes) 
I0007 12 257 462600
I0007.mat 16x1+24 1000.0(0)/mv 16 0 1896 23012 0 I
I0007.mat 16x1+24 1000.0(0)/mv 16 0 13083 -1833 0 II
I0007.mat 16x1+24 1000.0(0)/mv 16 0 11758 23109 0 III
I0007.mat 16x1+24 1000.0(0)/mv 16 0 -8046 -21375 0 aVR
I0007.mat 16x1+24 1000.0(0)/mv 16 0 -5288 -25992 0 aVL
I0007.mat 16x1+24 1000.0(0)/mv 16 0 11579 4124 0 aVF
I0007.mat 16x1+24 1000.0(0)/mv 16 0 2304 -8579 0 V1
I0007.mat 16x1+24 1000.0(0)/mv 16 0 2658 -11591 0 V2
I0007.mat 16x1+24 1000.0(0)/mv 16 0 7738 28350 0 V3
I0007.mat 16x1+24 1000.0(0)/mv 16 0 -2725 -5149 0 V4
I0007.mat 16x1+24 1000.0(0)/mv 16 0 583 -4271 0 V5
I0007.mat 16x1+24 1000.0(0)/mv 16 0 3729 13824 0 V6
# Age: 80
# Sex: M
# Dx: 426761007,266257000,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown