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Use of a robotic device for the rehabilitation of severe upper limb paresis in subacute stroke: exploration of patient/robot interactions and the motor recovery process.

Duret C, Courtial O, Grosmaire AG, Hutin E - Biomed Res Int (2015)

Bottom Line: Pre/post Fugl-Meyer Assessment (FMA) scores were compared in 18 patients.Robotic Power tended to decrease until S16.These results suggested that robot-based recordings can provide new insights into the motor recovery process.

View Article: PubMed Central - PubMed

Affiliation: CRF Les Trois Soleils, Médecine Physique et de Réadaptation, Unité de Rééducation Neurologique, 77310 Boissise-le-Roi, France.

ABSTRACT
This pioneering observational study explored the interaction between subacute stroke inpatients and a rehabilitation robot during upper limb training. 25 stroke survivors (age 55 ± 17 years; time since stroke, 52 ± 21 days) with severe upper limb paresis carried out 16 sessions of robot-assisted shoulder/elbow training (InMotion 2.0, IMT, Inc., MA, USA) combined with standard therapy. The values of 3 patient/robot interaction parameters (a guidance parameter: Stiffness, a velocity-related parameter: Slottime, and Robotic Power) were compared between sessions 1 (S1), 4 (S4), 8 (S8), 12 (S12), and 16 (S16). Pre/post Fugl-Meyer Assessment (FMA) scores were compared in 18 patients. Correlations between interaction parameters and clinical and kinematic outcome measures were evaluated. Slottime decreased at S8 (P = 0.003), while Guidance decreased at S12 (P = 0.008). Robotic Power tended to decrease until S16. FMA scores improved from S1 to S16 (+49%, P = 0.002). Changes in FMA score were correlated with the Stiffness parameter (R = 0.4, P = 0.003). Slottime was correlated with movement velocity. This novel approach demonstrated that a robotic device is a useful and reliable tool for the quantification of interaction parameters. Moreover, changes in these parameters were correlated with clinical and kinematic changes. These results suggested that robot-based recordings can provide new insights into the motor recovery process.

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Related in: MedlinePlus

Correlation between FMA score and changes in Stiffness.
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Related In: Results  -  Collection


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fig4: Correlation between FMA score and changes in Stiffness.

Mentions: The regression analysis showed that the change in FMA score was correlated with the change in Stiffness (r = 0.4, P = 0.003) (Figure 4) but not with the other interaction parameters. There was a good correlation (r = 0.35) between Slottime and the mean change in velocity. There was no correlation between Stiffness and changes in movement accuracy. Finally, there was a negative correlation between the change in Stiffness and the change in Slottime (r = −0.6, P = 0.001) (Figure 5).


Use of a robotic device for the rehabilitation of severe upper limb paresis in subacute stroke: exploration of patient/robot interactions and the motor recovery process.

Duret C, Courtial O, Grosmaire AG, Hutin E - Biomed Res Int (2015)

Correlation between FMA score and changes in Stiffness.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4363505&req=5

fig4: Correlation between FMA score and changes in Stiffness.
Mentions: The regression analysis showed that the change in FMA score was correlated with the change in Stiffness (r = 0.4, P = 0.003) (Figure 4) but not with the other interaction parameters. There was a good correlation (r = 0.35) between Slottime and the mean change in velocity. There was no correlation between Stiffness and changes in movement accuracy. Finally, there was a negative correlation between the change in Stiffness and the change in Slottime (r = −0.6, P = 0.001) (Figure 5).

Bottom Line: Pre/post Fugl-Meyer Assessment (FMA) scores were compared in 18 patients.Robotic Power tended to decrease until S16.These results suggested that robot-based recordings can provide new insights into the motor recovery process.

View Article: PubMed Central - PubMed

Affiliation: CRF Les Trois Soleils, Médecine Physique et de Réadaptation, Unité de Rééducation Neurologique, 77310 Boissise-le-Roi, France.

ABSTRACT
This pioneering observational study explored the interaction between subacute stroke inpatients and a rehabilitation robot during upper limb training. 25 stroke survivors (age 55 ± 17 years; time since stroke, 52 ± 21 days) with severe upper limb paresis carried out 16 sessions of robot-assisted shoulder/elbow training (InMotion 2.0, IMT, Inc., MA, USA) combined with standard therapy. The values of 3 patient/robot interaction parameters (a guidance parameter: Stiffness, a velocity-related parameter: Slottime, and Robotic Power) were compared between sessions 1 (S1), 4 (S4), 8 (S8), 12 (S12), and 16 (S16). Pre/post Fugl-Meyer Assessment (FMA) scores were compared in 18 patients. Correlations between interaction parameters and clinical and kinematic outcome measures were evaluated. Slottime decreased at S8 (P = 0.003), while Guidance decreased at S12 (P = 0.008). Robotic Power tended to decrease until S16. FMA scores improved from S1 to S16 (+49%, P = 0.002). Changes in FMA score were correlated with the Stiffness parameter (R = 0.4, P = 0.003). Slottime was correlated with movement velocity. This novel approach demonstrated that a robotic device is a useful and reliable tool for the quantification of interaction parameters. Moreover, changes in these parameters were correlated with clinical and kinematic changes. These results suggested that robot-based recordings can provide new insights into the motor recovery process.

Show MeSH
Related in: MedlinePlus