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

File: <base>/training/cpsc_2018/g4/A3852.hea (679 bytes) 
A3852 12 500 5500
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6 0 I
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -20 -30 0 II
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -11 -27 0 III
A3852.mat 16x1+24 1000.0(0)/mV 16 0 15 14 0 aVR
A3852.mat 16x1+24 1000.0(0)/mV 16 0 1 -11 0 aVL
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -15 -23 0 aVF
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -9 -69 0 V1
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -48 -133 0 V2
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -32 -72 0 V3
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10 0 V4
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -24 0 0 V5
A3852.mat 16x1+24 1000.0(0)/mV 16 0 -38 30 0 V6
# Age: 61
# Sex: Male
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown