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Table 5 Relationships between individual robotic measures and clinical measures

From: The independence of deficits in position sense and visually guided reaching following stroke

Clinical Measure

Category (Fisher’s Test)

Parameter

Normal

Impaired

Varxy

Areaxy

Shiftxy

PS

RT

IDE

NSP

MT

FIM

x ≥ 80

x < 80

†<10 -3

†<10 -3

†<10 -3

†<10 -3

0.028

†0.001

0.015

0.049

PPB

x ≥ 10

x < 10

0.067

0.307

0.095

0.144

0.002

0.010

0.024

†<10 -3

CMSS

x = 7

x < 7

0.081

0.178

0.017

0.093

†<10 -3

0.007

0.014

†<10 -3

TLT

x = 0

x > 0

†<10 -4

0.285

†<10 -3

0.153

0.042

0.027

†<10 -3

0.005

FIM

  

†–0.32

–0.12

†–0.41

–0.17

–0.21

†–0.40

†–0.38

†–0.41

FIMsc

  

–0.22

–0.05

†–0.38

–0.19

–0.20

†–0.43

†–0.42

†–0.43

PPB

  

–0.22

–0.04

†–0.33

–0.15

†–0.35

†–0.57

†–0.48

†–0.61

  1. Top: probabilities of independence between categorical contingencies of individual robotic measures and clinical assessments (Fisher’s exact probability test). Bottom: Pearson correlations between robotic measures and clinical assessments. Fisher’s tests include all subjects whereas correlation coefficients exclude subjects that were unable to do the reaching task. †Significant contingencies and correlations, P < 0.0013 (Bonferroni’s method is used to control for multiple comparisons; α = 0.01, n = 8).