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

File: <base>/training/cpsc_2018_extra/g1/Q0033.hea (694 bytes) 
Q0033 12 500 5000
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 6 2 0 I
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 -8 -24 0 II
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 -14 -17 0 III
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 1 17 0 aVR
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 10 -3 0 aVL
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 -11 -38 0 aVF
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 39 -31 0 V1
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 19 -48 0 V2
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 42 -75 0 V3
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 32 -73 0 V4
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 -85 -6 0 V5
Q0033.mat 16x1+24 1000.0(0)/mV 16 0 -34 -20 0 V6
# Age: 63
# Sex: Male
# Dx: 164873001,164909002,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown