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

File: <base>/training/georgia/g10/E09533.hea (728 bytes) 
E09533 12 500 5000
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -34 -20881 0 I
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -131 -20543 0 II
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -97 558 0 III
E09533.mat 16x1+24 1000.0(0)/mV 16 0 82 -11948 0 aVR
E09533.mat 16x1+24 1000.0(0)/mV 16 0 31 22020 0 aVL
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -114 -9994 0 aVF
E09533.mat 16x1+24 1000.0(0)/mV 16 0 97 15613 0 V1
E09533.mat 16x1+24 1000.0(0)/mV 16 0 43 11486 0 V2
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -87 -30961 0 V3
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -68 27693 0 V4
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -112 736 0 V5
E09533.mat 16x1+24 1000.0(0)/mV 16 0 -136 9787 0 V6
# Age: 80
# Sex: Female
# Dx: 67741000119109,427084000
# Rx: Unknown
# Hx: Unknown