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

File: <base>/training/cpsc_2018_extra/g1/Q0043.hea (701 bytes) 
Q0043 12 500 7500
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 -12 -1455 0 I
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 -88 -33 0 II
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 -76 1422 0 III
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 49 -3454 0 aVR
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 32 2938 0 aVL
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 -82 1366 0 aVF
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 18 3665 0 V1
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 155 -3743 0 V2
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 8 2487 0 V3
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 -77 1821 0 V4
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 350 -1763 0 V5
Q0043.mat 16x1+24 1000.0(0)/mV 16 0 415 2810 0 V6
# Age: 47
# Sex: Female
# Dx: 164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown