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

File: <base>/training/cpsc_2018_extra/g1/Q0930.hea (714 bytes) 
Q0930 12 500 7000
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -96 3431 0 I
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -95 2564 0 II
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 1 -867 0 III
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 96 -117 0 aVR
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -48 3029 0 aVL
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -47 -2838 0 aVF
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -5 1682 0 V1
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -127 2527 0 V2
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -148 -2171 0 V3
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -157 2915 0 V4
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -98 -3160 0 V5
Q0930.mat 16x1+24 1000.0(0)/mV 16 0 -73 651 0 V6
# Age: 61
# Sex: Female
# Dx: 427172004,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown