Mechanisms of Motor Recovery in Chronic and Subacute Stroke Patients Following a Robot-Aided Training
Issue No. 02 - April-June (2014 vol. 7)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TOH.2013.73
S. Mazzoleni , Biorobotics Inst., Scuola Superiore Sant'Anna, Pisa, Italy
L. Puzzolante , Neurological Rehabilitation & Brain Injury Unit, Auxilium Vitae Rehabilitation Center, Volterra, Italy
L. Zollo , Lab. of Biomed. Robot. & Biomicrosystems, Univ. Campus Bio-Medico, Rome, Italy
P. Dario , Biorobotics Inst., Scuola Superiore Sant'Anna, Pisa, Italy
F. Posteraro , Neurological Rehabilitation & Brain Injury Unit, Auxilium Vitae Rehabilitation Center, Volterra, Italy
The aim of this article is to propose a methodology for analyzing different recovery mechanisms in subacute and chronic patients through evaluation of biomechanical parameters. Twenty-five post-stroke subjects, eight subacute and seventeen chronic, participated in the study. A 2-DoF robotic system was used for upper limb training. Two clinical scales were used for assessment. Forces and velocities at the robot's end-effector during the execution of upper limb planar reaching movements were measured. Clinical outcome measures show a significant decrease in motor impairment after the treatment both in chronic and subacute patients (MSS-SE, p<;0.001; FM, p<;0.05). Movement velocity increases after the robot-aided treatment in both groups. Mean values of forces exerted by subacute patients are lower than those observed in chronic patients, both at the beginning and at the end of robotic treatment, as in the latter the pathological pattern is already structured. Our results demonstrate that the monitoring of the forces exerted on the end-effector during robot-aided treatment can identify the specific motor recovery mechanisms at different stages. If the pathological pattern is not yet structured, rehabilitative interventions should be addressed toward the use of motor re-learning procedures; on the other hand, if the force analysis shows a strong pathological pattern, mechanisms of compensation should be encouraged.
Training, Frequency modulation, Force, Robot kinematics, Medical treatment, Biomechanics
S. Mazzoleni, L. Puzzolante, L. Zollo, P. Dario and F. Posteraro, "Mechanisms of Motor Recovery in Chronic and Subacute Stroke Patients Following a Robot-Aided Training," in IEEE Transactions on Haptics, vol. 7, no. 2, pp. 175-180, 2014.