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

File: <base>/training/st_petersburg_incart/g1/I0009.hea (741 bytes) 
I0009 12 257 462600
I0009.mat 16x1+24 1000.0(0)/mv 16 0 3803 29174 0 I
I0009.mat 16x1+24 1000.0(0)/mv 16 0 2528 19180 0 II
I0009.mat 16x1+24 1000.0(0)/mv 16 0 71 5818 0 III
I0009.mat 16x1+24 1000.0(0)/mv 16 0 -3980 -1514 0 aVR
I0009.mat 16x1+24 1000.0(0)/mv 16 0 406 -19523 0 aVL
I0009.mat 16x1+24 1000.0(0)/mv 16 0 -350 -13346 0 aVF
I0009.mat 16x1+24 1000.0(0)/mv 16 0 177 -14408 0 V1
I0009.mat 16x1+24 1000.0(0)/mv 16 0 567 25930 0 V2
I0009.mat 16x1+24 1000.0(0)/mv 16 0 508 -29111 0 V3
I0009.mat 16x1+24 1000.0(0)/mv 16 0 1087 29121 0 V4
I0009.mat 16x1+24 1000.0(0)/mv 16 0 -516 -23634 0 V5
I0009.mat 16x1+24 1000.0(0)/mv 16 0 1937 -3632 0 V6
# Age: 68
# Sex: M
# Dx: 54016002,75532003,251182009
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown