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

File: <base>/training/cpsc_2018/g2/A1652.hea (690 bytes) 
A1652 12 500 21000
A1652.mat 16x1+24 1000.0(0)/mV 16 0 -13 607 0 I
A1652.mat 16x1+24 1000.0(0)/mV 16 0 -3 1121 0 II
A1652.mat 16x1+24 1000.0(0)/mV 16 0 10 514 0 III
A1652.mat 16x1+24 1000.0(0)/mV 16 0 8 -2952 0 aVR
A1652.mat 16x1+24 1000.0(0)/mV 16 0 -11 2788 0 aVL
A1652.mat 16x1+24 1000.0(0)/mV 16 0 3 2348 0 aVF
A1652.mat 16x1+24 1000.0(0)/mV 16 0 9 8445 0 V1
A1652.mat 16x1+24 1000.0(0)/mV 16 0 38 3631 0 V2
A1652.mat 16x1+24 1000.0(0)/mV 16 0 15 8757 0 V3
A1652.mat 16x1+24 1000.0(0)/mV 16 0 12 -872 0 V4
A1652.mat 16x1+24 1000.0(0)/mV 16 0 -7 -7172 0 V5
A1652.mat 16x1+24 1000.0(0)/mV 16 0 -14 5213 0 V6
# Age: 65
# Sex: Male
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown