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

File: <base>/training/cpsc_2018/g2/A1872.hea (710 bytes) 
A1872 12 500 4500
A1872.mat 16x1+24 1000.0(0)/mV 16 0 32 -2211 0 I
A1872.mat 16x1+24 1000.0(0)/mV 16 0 232 1418 0 II
A1872.mat 16x1+24 1000.0(0)/mV 16 0 199 -871 0 III
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -132 -1910 0 aVR
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -83 -363 0 aVL
A1872.mat 16x1+24 1000.0(0)/mV 16 0 215 -1614 0 aVF
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -819 403 0 V1
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -1998 2036 0 V2
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -1711 -1802 0 V3
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -881 1011 0 V4
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -253 1000 0 V5
A1872.mat 16x1+24 1000.0(0)/mV 16 0 -1 1158 0 V6
# Age: 81
# Sex: Male
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown