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

File: <base>/training/cpsc_2018_extra/g4/Q3179.hea (701 bytes) 
Q3179 12 500 5000
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 64 1395 0 I
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 130 -722 0 II
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 66 -2117 0 III
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 -96 -568 0 aVR
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 0 2439 0 aVL
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 98 -1242 0 aVF
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 -182 73 0 V1
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 -215 -1592 0 V2
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 -151 -247 0 V3
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 1 -1659 0 V4
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 61 -2412 0 V5
Q3179.mat 16x1+24 1000.0(0)/mV 16 0 109 -416 0 V6
# Age: 59
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown