Issue 2-84, 2018
Efficacy of the Poststroke Arm Function Rehabilitation on Biofeedback System «HABILECT»
1 Klochkov A.S., 1 Khizhnikova A.E., 1 Kotov-Smolensky A.M., 1 Suponeva N.A., 1 Chernikova L.A., 1 Piradov M.A.
1 Research Center of Neurology, Moscow, Russia
ABSTRACT
Background and aims: Successful recovery of upper limb motor function in post-stroke adult patients occurs only in20% of cases. Motor training in virtual environment allows to create the necessary training space for motor skills relearning,as well as provide interactive biofeedback and intensify rehabilitation process.Methods: 17 patients met the inclusion criteria (10 males; 7 females) at the age of 30 to 60 years and 3 to 12 monthsafter stroke were included. Main group (n=10), received two weeks (30min, 6 days per week) of virtual biofeedback trainingon system «Habilect». Control group (n=7) received equal time conventional therapy. Evaluation methods: Fugl-Meyer Assessmentscale (FMA), Action Research Arm Test (ARAT), Modified Ashworth scale (MAS) before and after rehabilitation.Results: Patients in main group showed improvements (p<0.05) in FMA scale: arm and hand movements, and totalscore; ARAT: significant (p<0.05) improvement of pinch grip, gross movements and total score. In control group were foundimprovements (p<0.05) only in range of passive movements (FMA).Conclusion: Virtual biofeedback training is effective method for stroke rehabilitation that promotes arm function increasing,improves movement coordination and proved to be useful addition to the traditional methods of rehabilitation.
KEYWORDS: virtual biofeedback, stroke, motor learning, rehabilitation
References:
- Truelsen T., Piechowski-Jozwiak B., Bonita R., et al. Stroke incidence and prevalence in Europe: a review of available data. Eur J Neurol 2006; 13: 581-198.
- Khizhnikova A.E., Klochkov A.S., Kotov-Smolensky A.M., Suponeva N.A., Chernikova L.A. [Virtual reality as an upper limb rehabilitation approach.] Annaly klinicheskoi i eksperimental'noi nevrologii. 2016;10(3):5-12. (In Russ.)
- Klochkov A.S., Chernikova L.A. [Robotic and mechanotherapy devices for upper limb function recovery after stroke.] Russkii medicinskii ghurnal 2014; 22 (22): 1589-1592.
- Nazarova M.A., Piradov M.A., Chernikova L.A. [Mirror visual feedback - mirror therapy in neurorehabilitation] Annaly klinicheskoi i eksperimental'noi nevrologii. 2012; 6 (№4): 36-41.
- Compston A. Aids to the investigation of peripheral nerve injuries. Medical Research Council: Nerve Injuries Research Committee. His Majesty’s Stationery Office: 1942; pp. 48 (iii) and 74 figures and 7 diagrams; with aids to the examination of the peripheral nervous system. By Michael O’Brien for the Guarantors of Brain. Saunders Elsevier: 2010; pp. [8] 64 and 94 Figures. Brain. 2010 Oct; 133 (10): 2838-44.
- Bohannon RW, Smith MB. Interrater reliability of a modified Ashworth scale of muscle spasticity. Phys Ther. 1987 Feb; 67 (2): 206-7.
- Bocti C, Legault V, Leblanc N, Berger L, Nasreddine Z, Beaulieu- Boire I, et al. Vascular cognitive impairment: most useful subtests of the Montreal Cognitive Assessment in minor stroke and transient ischemic attack. Dement Geriatr Cogn Disord. 2013; 36 (3-4): 154-62.
- Sanford J, Moreland J, Swanson LR, Stratford PW, Gowland C. Reliability of the Fugl-Meyer assessment for testing motor performance in patients following stroke. Phys Ther. 1993 Jul; 73 (7): 447-54.
- Doussoulin SA, Rivas SR, Campos SV. [Validation of «Action Research Arm Test» (ARAT) in Chilean patients with a paretic upper limb after a stroke]. Rev Med Chil. 2012 Jan; 140 (1): 59-65.
- Khizhnikova A., Klochkov A., Chernikova L., Suponeva N. Efficacy of the post-stroke arm function rehabilitation using Kinect-based virtual biofeedback system. 3rd Congress of the European Academy of Neurology, Amsterdam, Netherlands, 24-27.06.2017.

The content is available under the Creative Commons Attribution 4.0 License.
©
This is an open article under the CC BY 4.0 license. Published by the National Medical Research Center for Rehabilitation and Balneology.