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

File: <base>/training/st_petersburg_incart/g1/I0044.hea (758 bytes) 
I0044 12 257 462600
I0044.mat 16x1+24 1000.0(0)/mv 16 0 -4281 31717 0 I
I0044.mat 16x1+24 1000.0(0)/mv 16 0 2853 15503 0 II
I0044.mat 16x1+24 1000.0(0)/mv 16 0 5554 -30935 0 III
I0044.mat 16x1+24 1000.0(0)/mv 16 0 822 6954 0 aVR
I0044.mat 16x1+24 1000.0(0)/mv 16 0 -5029 -21955 0 aVL
I0044.mat 16x1+24 1000.0(0)/mv 16 0 4425 -11606 0 aVF
I0044.mat 16x1+24 1000.0(0)/mv 16 0 -433 27895 0 V1
I0044.mat 16x1+24 1000.0(0)/mv 16 0 -1913 17015 0 V2
I0044.mat 16x1+24 1000.0(0)/mv 16 0 -2693 24523 0 V3
I0044.mat 16x1+24 1000.0(0)/mv 16 0 62 -20048 0 V4
I0044.mat 16x1+24 1000.0(0)/mv 16 0 1222 -31043 0 V5
I0044.mat 16x1+24 1000.0(0)/mv 16 0 278 -29875 0 V6
# Age: 53
# Sex: F
# Dx: 164873001,53741008,425856008,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown