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

File: <base>/training/ptb-xl/g5/HR04919.hea (749 bytes) 
HR04919 12 500 5000
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 -190 11027 0 I
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 30 23603 0 II
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 220 12569 0 III
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 80 14959 0 aVR
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 -205 -747 0 aVL
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 125 -14847 0 aVF
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 95 11714 0 V1
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 155 13190 0 V2
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 145 5920 0 V3
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 165 -32018 0 V4
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 115 -26801 0 V5
HR04919.mat 16x1+24 1000.0(0)/mv 16 0 80 -29793 0 V6
# Age: 67
# Sex: Male
# Dx: 164909002,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown