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

Table 6 Robotic Metrics for Prediction of FIM-related Scores and their Corresponding Repeat Rates out of 100 Repeats for Each Model Estimation

Bottom: predictions using clinical data
	Number of model parameters	First Metric	Repeat rate (%)	Second Metric	Repeat rate (%)	Third Metric	Repeat rate (%)
FIM-Motor-2w	2	CM-A	100	PP	98	N/A	N/A
FIM-Motor-2w	2			CM-U	2
FIM-Total-2w	2	CM-A	97	PP	96	N/A	N/A
		PP	3	CM-A	3
				CM-U	1
FIM-Motor-3 m	3	PP	100	CM-A	85	PP	75
				CM-U	15	CM-A	16
						CM-U	10
FIM-Total-3 m	3	PP	100	CM-A	89	CM-A	43
				PP	7	CM-U	37
				CM-U	4	PP	20

PP Purdue Pegboard Score- Combined, CM-A Chedoke-McMaster Score-Affected Arm, CM-U Chedoke-McMaster Score-Unaffected Arm
For abbreviations of robotic parameters, see Table 1.

ISSN: 1743-0003