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

File: <base>/training/cpsc_2018_extra/g1/Q0082.hea (689 bytes) 
Q0082 12 500 5000
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -20 -21 0 I
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 10 -5 0 II
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 30 -21 0 III
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 6 2 0 aVR
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -24 34 0 aVL
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 20 -5 0 aVF
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -29 22 0 V1
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -107 -24 0 V2
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -194 20 0 V3
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -249 32 0 V4
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -175 1 0 V5
Q0082.mat 16x1+24 1000.0(0)/mV 16 0 -11 24 0 V6
# Age: 79
# Sex: Female
# Dx: 413844008,164865005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown