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

File: <base>/training/cpsc_2018/g2/A1662.hea (700 bytes) 
A1662 12 500 6500
A1662.mat 16x1+24 1000.0(0)/mV 16 0 -9 208 0 I
A1662.mat 16x1+24 1000.0(0)/mV 16 0 19 -532 0 II
A1662.mat 16x1+24 1000.0(0)/mV 16 0 28 -740 0 III
A1662.mat 16x1+24 1000.0(0)/mV 16 0 -4 -138 0 aVR
A1662.mat 16x1+24 1000.0(0)/mV 16 0 -18 -2189 0 aVL
A1662.mat 16x1+24 1000.0(0)/mV 16 0 24 1885 0 aVF
A1662.mat 16x1+24 1000.0(0)/mV 16 0 -89 -3071 0 V1
A1662.mat 16x1+24 1000.0(0)/mV 16 0 -116 -1187 0 V2
A1662.mat 16x1+24 1000.0(0)/mV 16 0 261 1848 0 V3
A1662.mat 16x1+24 1000.0(0)/mV 16 0 140 -3034 0 V4
A1662.mat 16x1+24 1000.0(0)/mV 16 0 263 250 0 V5
A1662.mat 16x1+24 1000.0(0)/mV 16 0 -201 -1186 0 V6
# Age: 55
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown