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

File: <base>/training/ptb-xl/g5/HR04092.hea (749 bytes) 
HR04092 12 500 5000
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -95 -5434 0 I
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -125 21234 0 II
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -30 26665 0 III
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 110 -8384 0 aVR
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -32 -15960 0 aVL
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -77 23709 0 aVF
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 35 14571 0 V1
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -50 -12354 0 V2
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -170 9509 0 V3
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 45 10679 0 V4
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -25 4806 0 V5
HR04092.mat 16x1+24 1000.0(0)/mv 16 0 -180 1977 0 V6
# Age: 64
# Sex: Male
# Dx: 164934002,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown