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

File: <base>/training/st_petersburg_incart/g1/I0001.hea (737 bytes) 
I0001 12 257 462600
I0001.mat 16x1+24 1000.0(0)/mv 16 0 3794 -28308 0 I
I0001.mat 16x1+24 1000.0(0)/mv 16 0 1493 7208 0 II
I0001.mat 16x1+24 1000.0(0)/mv 16 0 -304 -6944 0 III
I0001.mat 16x1+24 1000.0(0)/mv 16 0 -2778 -3535 0 aVR
I0001.mat 16x1+24 1000.0(0)/mv 16 0 1526 -10251 0 aVL
I0001.mat 16x1+24 1000.0(0)/mv 16 0 585 25342 0 aVF
I0001.mat 16x1+24 1000.0(0)/mv 16 0 -3438 9641 0 V1
I0001.mat 16x1+24 1000.0(0)/mv 16 0 -3333 -21900 0 V2
I0001.mat 16x1+24 1000.0(0)/mv 16 0 -3415 -9830 0 V3
I0001.mat 16x1+24 1000.0(0)/mv 16 0 -4072 8528 0 V4
I0001.mat 16x1+24 1000.0(0)/mv 16 0 1654 28296 0 V5
I0001.mat 16x1+24 1000.0(0)/mv 16 0 6444 28340 0 V6
# Age: 65
# Sex: F
# Dx: 53741008,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown