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

File: <base>/training/cpsc_2018_extra/g4/Q3506.hea (706 bytes) 
Q3506 12 500 9000
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 43 -520 0 I
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 5 2664 0 II
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 -38 3184 0 III
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 -23 -2928 0 aVR
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 41 776 0 aVL
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 -16 -1184 0 aVF
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 108 1711 0 V1
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 271 1285 0 V2
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 310 518 0 V3
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 166 3924 0 V4
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 143 3200 0 V5
Q3506.mat 16x1+24 1000.0(0)/mV 16 0 62 2498 0 V6
# Age: 57
# Sex: Male
# Dx: 164930006,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown