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

File: <base>/training/st_petersburg_incart/g1/I0011.hea (737 bytes) 
I0011 12 257 462600
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -3685 9993 0 I
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -854 14832 0 II
I0011.mat 16x1+24 1000.0(0)/mv 16 0 2520 -22656 0 III
I0011.mat 16x1+24 1000.0(0)/mv 16 0 2413 -21774 0 aVR
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -3110 1909 0 aVL
I0011.mat 16x1+24 1000.0(0)/mv 16 0 409 -22763 0 aVF
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -6087 -31289 0 V1
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -1803 22585 0 V2
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -343 -8924 0 V3
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -929 -13867 0 V4
I0011.mat 16x1+24 1000.0(0)/mv 16 0 -1217 636 0 V5
I0011.mat 16x1+24 1000.0(0)/mv 16 0 512 -3793 0 V6
# Age: 68
# Sex: M
# Dx: 54016002,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown