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

File: <base>/training/cpsc_2018/g2/A1609.hea (674 bytes) 
A1609 12 500 5000
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -17 -7 0 I
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -55 41 0 II
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -38 55 0 III
A1609.mat 16x1+24 1000.0(0)/mV 16 0 36 2 0 aVR
A1609.mat 16x1+24 1000.0(0)/mV 16 0 11 24 0 aVL
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -46 -15 0 aVF
A1609.mat 16x1+24 1000.0(0)/mV 16 0 106 36 0 V1
A1609.mat 16x1+24 1000.0(0)/mV 16 0 153 19 0 V2
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -2 0 0 V3
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -49 26 0 V4
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -74 23 0 V5
A1609.mat 16x1+24 1000.0(0)/mV 16 0 -114 -23 0 V6
# Age: 71
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown