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

File: <base>/training/cpsc_2018_extra/g1/Q0990.hea (711 bytes) 
Q0990 12 500 5000
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -69 -1955 0 I
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -90 -831 0 II
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -21 1124 0 III
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 79 1331 0 aVR
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -23 1129 0 aVL
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -56 -2100 0 aVF
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 28 465 0 V1
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 4 2241 0 V2
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -53 998 0 V3
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -108 2050 0 V4
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 -122 -1641 0 V5
Q0990.mat 16x1+24 1000.0(0)/mV 16 0 31 1358 0 V6
# Age: 78
# Sex: Female
# Dx: 284470004,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown