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

File: <base>/training/cpsc_2018_extra/g1/Q0004.hea (682 bytes) 
Q0004 12 500 5000
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -8 6 0 I
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -16 -46 0 II
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -8 7 0 III
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 12 -27 0 aVR
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 1 18 0 aVL
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -12 -2 0 aVF
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -25 5 0 V1
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -33 -16 0 V2
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -13 -8 0 V3
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -22 20 0 V4
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -18 28 0 V5
Q0004.mat 16x1+24 1000.0(0)/mV 16 0 -18 15 0 V6
# Age: 57
# Sex: Male
# Dx: 164861001,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown