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

File: <base>/training/ptb-xl/g5/HR04909.hea (778 bytes) 
HR04909 12 500 5000
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -10 -473 0 I
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -50 -10937 0 II
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -40 -10472 0 III
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 30 5387 0 aVR
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 15 5161 0 aVL
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -45 -10649 0 aVF
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 40 2214 0 V1
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -85 -10469 0 V2
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -635 9754 0 V3
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 50 -18402 0 V4
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -40 2097 0 V5
HR04909.mat 16x1+24 1000.0(0)/mv 16 0 -270 -8690 0 V6
# Age: 71
# Sex: Female
# Dx: 164861001,164865005,164873001,426783006,713426002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown