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

File: <base>/training/cpsc_2018/g2/A1709.hea (701 bytes) 
A1709 12 500 11000
A1709.mat 16x1+24 1000.0(0)/mV 16 0 5 -549 0 I
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -37 3750 0 II
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -42 4299 0 III
A1709.mat 16x1+24 1000.0(0)/mV 16 0 16 -2643 0 aVR
A1709.mat 16x1+24 1000.0(0)/mV 16 0 24 3264 0 aVL
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -40 -433 0 aVF
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -44 3840 0 V1
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -64 2961 0 V2
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -114 -2840 0 V3
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -47 4587 0 V4
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -102 1303 0 V5
A1709.mat 16x1+24 1000.0(0)/mV 16 0 -23 181 0 V6
# Age: 67
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown