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

File: <base>/training/cpsc_2018_extra/g1/Q0002.hea (702 bytes) 
Q0002 12 500 7500
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 19 2830 0 I
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 465 827 0 II
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 446 -2003 0 III
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 -241 826 0 aVR
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 -213 1883 0 aVL
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 455 -3603 0 aVF
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 45 593 0 V1
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 13 1707 0 V2
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 23 1533 0 V3
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 59 -866 0 V4
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 -333 -530 0 V5
Q0002.mat 16x1+24 1000.0(0)/mV 16 0 -152 -3363 0 V6
# Age: 70
# Sex: Female
# Dx: 164861001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown