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

File: <base>/training/cpsc_2018/g4/A3742.hea (670 bytes) 
A3742 12 500 5000
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -18 20 0 I
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -59 21 0 II
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -41 -36 0 III
A3742.mat 16x1+24 1000.0(0)/mV 16 0 39 6 0 aVR
A3742.mat 16x1+24 1000.0(0)/mV 16 0 11 12 0 aVL
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -50 6 0 aVF
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -2 -3 0 V1
A3742.mat 16x1+24 1000.0(0)/mV 16 0 17 14 0 V2
A3742.mat 16x1+24 1000.0(0)/mV 16 0 0 27 0 V3
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -25 11 0 V4
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -49 15 0 V5
A3742.mat 16x1+24 1000.0(0)/mV 16 0 -88 42 0 V6
# Age: 80
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown