Robot-based assessment of motor and proprioceptive function identifies biomarkers for prediction of functional independence measures

Table 7 R Values on Validation Data for Robot-Based Models to Predict Other Clinical Scores and the Robotic Metrics Associated with the Model Based on All Robotic Data

	Reaching	Matching	Object Hit	All Robotic Data	First Metric	Repeat rate (%)	Second Metric	Repeat rate (%)	Third Metric	Repeat rate (%)
Purdue-Combined	0.778	0.567	0.698	0.791	RA12	61 %	OH1	48 %	M9	31 %
					OH1	28 %	RA2	24 %	OH8	21 %
					RA5	10 %	M3	17 %	RA3	12 %
CMS-Affected	0.775	0.394	0.714	0.810	RA5	63 %	RA3	46 %	OH13	39 %
					R12	21 %	OH8	31 %	M1	28 %
					RA3	11 %	RA2	13 %	RA2	19 %
CMS-Unaffected	0.096(NS)	0.006(NS)	0.043(NS)	0.097(NS)	OH1	18 %	OH2	21 %	N/A	N/A
					M8	16 %	M4	13 %
					M4	12 %	RA5	10 %
MAS-Affected	0.211	0.052(NS)	0.038(NS)	0.235	RA1	45 %	OH8	30 %	N/A	N/A
					OH8	21 %	RA9	22 %
					OH1	13 %	M8	10 %
MAS-Unaffected	0.193(NS)	0.063(NS)	0.233	0.266	OH14	32 %	RA12	27 %	N/A	N/A
					OH7	24 %	M1	19 %
					RA12	11 %	RA5	11 %
BIT Score	0.510	0.488	0.415	0.678	M2	48 %	RA6	38 %	OH8	31 %
					RA11	30 %	RA3	26 %	OH1	25 %
					RA3	14 %	M2	20 %	M1	17 %

Matching Arm position matching task, Reaching visually-guided reaching task, affected, unaffected and interlimb parameters, Object Hit Ball drop object hit task, CMS Chedoke-MacMaster Score, MAS Modified Ashworth Score, NS Not significant for P < 0.005. For abbreviations of robotic metrics see Table 1

ISSN: 1743-0003