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

File: <base>/training/georgia/g9/E08804.hea (734 bytes) 
E08804 12 500 5000
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -58 32679 0 I
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -156 9260 0 II
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -97 -23048 0 III
E08804.mat 16x1+24 1000.0(0)/mV 16 0 107 -21114 0 aVR
E08804.mat 16x1+24 1000.0(0)/mV 16 0 19 -4752 0 aVL
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -126 25870 0 aVF
E08804.mat 16x1+24 1000.0(0)/mV 16 0 78 -25331 0 V1
E08804.mat 16x1+24 1000.0(0)/mV 16 0 48 11368 0 V2
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9064 0 V3
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13572 0 V4
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -39 9855 0 V5
E08804.mat 16x1+24 1000.0(0)/mV 16 0 -48 6995 0 V6
# Age: 45
# Sex: Female
# Dx: 426177001,427393009,164934002
# Rx: Unknown
# Hx: Unknown