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

File: <base>/training/cpsc_2018_extra/g4/Q3562.hea (678 bytes) 
Q3562 12 500 5000
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 -2 122 0 I
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 7 11 0 II
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 9 -87 0 III
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 -2 -120 0 aVR
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 -5 66 0 aVL
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 8 -12 0 aVF
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 3 -63 0 V1
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 22 10 0 V2
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 15 152 0 V3
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 4 109 0 V4
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 -6 146 0 V5
Q3562.mat 16x1+24 1000.0(0)/mV 16 0 1 74 0 V6
# Age: 78
# Sex: Male
# Dx: 713427006,164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown