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

File: <base>/training/cpsc_2018/g4/A3322.hea (684 bytes) 
A3322 12 500 8033
A3322.mat 16x1+24 1000.0(0)/mV 16 0 218 -16 0 I
A3322.mat 16x1+24 1000.0(0)/mV 16 0 9 1 0 II
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -209 1 0 III
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -114 -27 0 aVR
A3322.mat 16x1+24 1000.0(0)/mV 16 0 214 -17 0 aVL
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -100 13 0 aVF
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -40 -41 0 V1
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -47 -9 0 V2
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -68 -42 0 V3
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -56 22 0 V4
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -101 -1 0 V5
A3322.mat 16x1+24 1000.0(0)/mV 16 0 -99 -40 0 V6
# Age: 53
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown