A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease

Table 1 Postural and gait analysis

Feature	Acronym	Domain	Unit	Selection
Stance Phase	STp	Temporal	%
Swing Phase	SWp	Temporal	%
Double Support Phase	DSp	Temporal	%	Case A,B
Stance Time	STt	Temporal	sec
Swing Time	SWt	Temporal	sec
Stride Time	STDt	Temporal	sec	Case B
Stride Cadence	STDc	Spatial	#/min	Case A
Stride Length	STDl	Spatial	cm	Case A,B
Step Length	SPl	Spatial	cm
Step Width	SPw	Spatial	cm
Stride Velocity	STDv	Spatial	m/sec	Case A
Swing Velocity	SWv	Spatial	m/sec	Case A
Trunk Flexion	TFlex	Angular	degree	Case A,B
Neck Flexion	NFlex	Angular	degree	Case A,B
Pisa Syndrome	PS	Angular	degree	Case A
Arm Swing	ASrom	Angular	degree	Case A,B

Summary of the 16 Features and the Selected Features (9 features for the Case A and 6 features for the Case B) used by the Classification Algorithms

ISSN: 1472-6947