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

File: <base>/training/cpsc_2018_extra/g1/Q0903.hea (672 bytes) 
Q0903 12 500 5000
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 -84 34 0 I
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 31 2 0 II
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 115 -21 0 III
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 26 -19 0 aVR
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 -99 20 0 aVL
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 72 30 0 aVF
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 57 8 0 V1
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 22 33 0 V2
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 -31 10 0 V3
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 -65 16 0 V4
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 -14 -7 0 V5
Q0903.mat 16x1+24 1000.0(0)/mV 16 0 -28 49 0 V6
# Age: 42
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown