The Classification of Valid and Invalid Beats of Three-Dimensional Nystagmus Eye Movement Signals Using Machine Learning Methods
Table 1
Nystagmus variables defined with symbols given in Figure 1. In the variable names, and are slow and fast phases of nystagmus, refers to amplitude, duration, mean velocity, correlation,
maximum velocity, quality signal, and subscripts , , and indicate horizontal, vertical, and torsional components.
Variables
Name
Definition
, ,
Amplitudes of slow phase
, ,
Amplitudes of slow phase
Duration of slow phase
(fr sampling frequency)
Duration of fast phase
(fr sampling frequency)
, ,
Mean velocity of slow phase
Slope computed with linear regression from samples of
, ,
Mean velocity of fast phase
Slope computed with linear regression from samples of and (see Figure 1(b))
, ,
Correlations of slow phase
correlation coefficient between samples of and (Figure 1(b))
Maximum velocity of fast phase
Slopes with linear regression from samples of and , , and then by taking (Figure 1(b))
Mean of torsional quality values
Mean of quality values during slow phase of interval [s, f] (Figure 1(b))
