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

File: <base>/training/cpsc_2018/g4/A3452.hea (673 bytes) 
A3452 12 500 5000
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -15 -32 0 I
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -3 26 0 II
A3452.mat 16x1+24 1000.0(0)/mV 16 0 11 10 0 III
A3452.mat 16x1+24 1000.0(0)/mV 16 0 9 -7 0 aVR
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -14 40 0 aVL
A3452.mat 16x1+24 1000.0(0)/mV 16 0 4 17 0 aVF
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -14 -21 0 V1
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -5 12 0 V2
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -14 54 0 V3
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -15 -16 0 V4
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -10 93 0 V5
A3452.mat 16x1+24 1000.0(0)/mV 16 0 -23 12 0 V6
# Age: 86
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown