Table 6.

Computation time and model performance for select feature sets

TREMOR (Binary)				BRADYKINESIA (Binary)
Features	Computation Time (ms)	AUROC	p	Features	Computation Time (ms)	AUROC	p
C	4.41	0.68	< 0.001*	C	4.41	0.61	0.001*
D	6.47	0.73	< 0.001*	D	6.47	0.64	0.006*
T	8.15	0.73	0.001*	CD	7.55	0.65	0.005*
DT	11.29	0.74	0.018†	T	8.15	0.67	0.099
DF	18.42	0.75	0.022†	DT	11.29	0.68	0.174
FT	20.09	0.75	0.004*	ET	63.02	0.68	0.222
CDFT	24.31	0.76	0.040†	DET	66.17	0.68	–
CE	59.29	0.77	0.126
EF	70.15	0.77	0.155
EFT	74.98	0.77	0.071
CEFT	76.05	0.77	–
TREMOR (Multiclass)				BRADYKINESIA (Multiclass)
Features	Computation Time (ms)	AUROC	p	Features	Computation Time (ms)	AUROC	p
C	4.41	0.67	0.001*	C	4.41	0.59	< 0.001*
D	6.47	0.71	< 0.001*	D	6.47	0.62	0.010*
DT	11.29	0.72	0.001*	CD	7.55	0.62	0.001*
F	15.28	0.73	0.014†	T	8.15	0.64	0.011*
CF	16.35	0.73	0.015†	DT	11.29	0.65	0.152
DF	18.42	0.74	0.037†	FTE	74.98	0.65	0.189
EF	70.16	0.75	0.234	DEFT	78.11	0.66	–
DEF	73.30	0.75	0.226
CEFT	76.05	0.75	–

Total computation time and average AUROC for each combination of feature categories (includes tri-axial and magnitude features). Only features combinations showing improved performance with increasing computation time were included. T = Time, F = Frequency, C = Correlation, D = Derivative, E = Entropy. Asterisk (*) indicates significant difference after Holm-Bonferroni correction (α = 0.05) from the best performing feature set, marked in italic. Dagger (†) indicates additional significant differences when not controlling the family-wise error rate