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

File: <base>/training/ptb-xl/g5/HR04904.hea (785 bytes) 
HR04904 12 500 5000
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 -60 23072 0 I
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 45 -15281 0 II
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 105 27178 0 III
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 7 -4761 0 aVR
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 -83 31076 0 aVL
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 75 -27105 0 aVF
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 40 -8153 0 V1
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 -50 -7436 0 V2
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 -75 -29993 0 V3
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 -70 -14143 0 V4
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 0 -16294 0 V5
HR04904.mat 16x1+24 1000.0(0)/mv 16 0 -45 3127 0 V6
# Age: 59
# Sex: Male
# Dx: 164861001,164865005,164873001,164951009,39732003,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown