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

File: <base>/training/ptb-xl/g5/HR04409.hea (758 bytes) 
HR04409 12 500 5000
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 150 12094 0 I
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 205 9206 0 II
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 55 -2880 0 III
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 -178 -10869 0 aVR
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 47 7815 0 aVL
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 130 3281 0 aVF
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 185 -9839 0 V1
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 -350 -6836 0 V2
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 -390 9572 0 V3
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 180 18538 0 V4
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 1190 -3050 0 V5
HR04409.mat 16x1+24 1000.0(0)/mv 16 0 1435 -2844 0 V6
# Age: 71
# Sex: Male
# Dx: 164889003,429622005,55930002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown