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

File: <base>/training/cpsc_2018/g4/A3709.hea (672 bytes) 
A3709 12 500 5000
A3709.mat 16x1+24 1000.0(0)/mV 16 0 -32 10 0 I
A3709.mat 16x1+24 1000.0(0)/mV 16 0 81 7 0 II
A3709.mat 16x1+24 1000.0(0)/mV 16 0 113 -14 0 III
A3709.mat 16x1+24 1000.0(0)/mV 16 0 -25 19 0 aVR
A3709.mat 16x1+24 1000.0(0)/mV 16 0 -73 4 0 aVL
A3709.mat 16x1+24 1000.0(0)/mV 16 0 97 -23 0 aVF
A3709.mat 16x1+24 1000.0(0)/mV 16 0 3 -9 0 V1
A3709.mat 16x1+24 1000.0(0)/mV 16 0 -85 0 0 V2
A3709.mat 16x1+24 1000.0(0)/mV 16 0 -16 6 0 V3
A3709.mat 16x1+24 1000.0(0)/mV 16 0 -5 -10 0 V4
A3709.mat 16x1+24 1000.0(0)/mV 16 0 34 -24 0 V5
A3709.mat 16x1+24 1000.0(0)/mV 16 0 -21 -29 0 V6
# Age: 87
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown