Facilitating robot-assisted training in MS patients with arm paresis: a procedure to individually determine gravity compensation

Autor: A. Goedhart, Veronik Truyens, Lore Kerkhofs, Karin Coninx, Hanne Bastiaens, Geert Alders, Richard P. J. Geers, Peter Feys, Sofie Notelaers
Přispěvatelé: BASTIAENS, Hanne, ALDERS, Geert, FEYS, Peter, NOTELAERS, Sofie, CONINX, Karin, Kerkhofs, Lore, TRUYENS, Veronik, Geers, Richard, Goedhart, Arne
Rok vydání: 2012
Předmět:
Zdroj: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]. 2011
ISSN: 1945-7901
Popis: Gravity compensation (GC) of the arm is used to facilitate arm movements in conventional therapy as well as in robot-assisted rehabilitation of neurologically impaired persons. Positive effects of GC on Range of Motion (ROM) have been demonstrated in stroke. In Multiple Sclerosis (MS), research regarding this topic is lacking. Since an active participation of the patient is required for effective training, full support of the arm might not be advisable. The present study reports on the development of a procedure to measure actively the individual need for GC and to estimate the influence of GC on ROM during reaching, lifting and transporting in severely affected Persons with MS (PwMS). Ten PwMS were tested with the procedure for determination of GC. Maximal reaching movements were performed in a 3D space in three conditions: No support (NS), with GC by the HapticMaster (GC-HM) and with GC by the HapticMaster combined with a sling suspension system (GC-HMS). For the total sample, significant correlations were found between the amount of GC and clinical tests for upper limb function. In four subjects with severe arm dysfunction it was found that mean ROM is larger in the GC-HMS condition compared to the GC-HM condition, and in the GC-HM condition compared to the NS condition, suggesting positive effects of GC on active ROM in PwMS. Therefore, GC could have a positive effect on arm rehabilitation by enabling the PwMS to actively reach a larger ROM during training.
Databáze: OpenAIRE