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

File: <base>/training/ptb-xl/g5/HR04894.hea (815 bytes) 
HR04894 12 500 5000
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 200 479 0 I
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 365 -21445 0 II
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 165 -21938 0 III
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 -283 10165 0 aVR
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 17 11235 0 aVL
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 265 -21891 0 aVF
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 -10 -22250 0 V1
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 1045 -21071 0 V2
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 2485 -30650 0 V3
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 1125 -7291 0 V4
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 840 -9522 0 V5
HR04894.mat 16x1+24 1000.0(0)/mv 16 0 435 -6370 0 V6
# Age: 60
# Sex: Male
# Dx: 164865005,164884008,164917005,284470004,39732003,426783006,428750005,445118002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown