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Changes in kinesiostabilogram parameters and movement speed of stroke patients while increasing their physical activity due to the use of biofeedback method
Balance disorders are complications of stroke survivors. Aim of this study was the establish effectiveness of the biofeedback approach. In this intervention study 245 patients with early diagnosis of acute disturbance of cerebral circulation (ADCC) were examined. Patients able to move independently were treated by standard conservative ADCC therapy on an outpatient approach, but they continued to have problems with coordination of movement in upright position. Then they were submitted to an increasing physical activity based on five sessions of biofeedback, i.e., a complex rehabilitation of patients with motor pathology "Trust-M" according to TU 9442-001-63704475-2010. Mobility rates were assessed using a web camera. Patients' quality of life was evaluated by SF-36 questionnaire and the Hospital Anxiety and Depression Scale (HADS). All parameters were recorded before and after 5 sessions of biofeedback. After treatment, the stability indicators improved and all patients showed a significant increase in motion rate and quality of life. At the same time, the severity of pain and of depression and anxiety decreased. Negative correlations of average strength between the quadrant and patient HADS scaling rates were obtained. In conclusion, our work shows effectiveness of the biofeedback technique for correcting coordination in stroke survivors.
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Benjamin EJ, Muntner P, Alonso A, Bittencourt, MS, Callaway CW, Carson AP. Heart disease and stroke statistics-2019 update: a report from the American Heart association. Circulation. 2019;e56-e528.
Virani SS, Alonso A, Benjamin EJ, et al. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation. 2020;141(9):e139-e596. doi:10.1161/ CIR.0000000000000757.
Hobbs B, Artemiadis P. A review of robot-assisted lower-limb stroke therapy: unexplored paths and future directions in gait rehabilitation. Front Neurorobot. 2020;15:14-19.
DOI: https://doi.org/10.3389/fnbot.2020.00019
Ataullah AHM, Naqvi IA. Cerebellar Dysfunction. In: StatPearls. Treasure Island (FL): StatPearls Publishing; September 1, 2020.
Levin MF. Principles of Motor Recovery After Neurological Injury Based on a Motor Control Theory. Adv Exp Med Biol. 2016;957:121-140. doi:10.1007/978-3-319-47313-0_7.
DOI: https://doi.org/10.1007/978-3-319-47313-0_7
Schmid AA, Rittman M. Consequences of poststroke falls: activity limitation, increased dependence, and the development of fear of falling. Am J Occup Ther. 2009;63:310-6.
DOI: https://doi.org/10.5014/ajot.63.3.310
Walsh ME, Galvin R, Williams DJP, Harbison JA, Murphy S, Collins R, McCabe DJH, Crowe M, Horgan NF. The experience of recurrent fallers in the first year after stroke. Disabil Rehabil. 2019 Jan;41(2):142-149. doi: 10.1080/09638288.2017. 1381182. Epub 2017 Sep 26.
DOI: https://doi.org/10.1080/09638288.2017.1381182
Batchelor FA, Mackintosh SF, Said CM, Hill KD. Falls after stroke. Int J Stroke 2012;7:482-90.
DOI: https://doi.org/10.1111/j.1747-4949.2012.00796.x
Price R, Choy NL. Investigating the Relationship of the Functional Gait Assessment to Spatiotemporal Parameters of Gait and Quality of Life in Individuals With Stroke. J Geriatr Phys Ther. 2019;42(4):256-264. doi:10.1519/JPT.000000000 0000173.
DOI: https://doi.org/10.1519/JPT.0000000000000173
Qurat-ul-Ain, Malik AN, Amjad I. Effect of circuit gait training vs traditional gait training on mobility performance in stroke. J Pak Med Assoc. 2018;68(3):455-458.
Walsh M, Galvin R, Horgan NF. Fall-related experiences of stroke survivors: a meta-ethnography. Disabil Rehabil. 2017;39:631-40.
DOI: https://doi.org/10.3109/09638288.2016.1160445
Xu T, O'Loughlin K, Clemson L, Lannin NA, Dean C, Koh G. Developing a falls prevention program for community-dwelling stroke survivors in Singapore: client and caregiver perspectives. Disabil Rehabil. 2019;41(9):1044-1054. doi:10.1080/09638288.2017.1419293.
DOI: https://doi.org/10.1080/09638288.2017.1419293
Woodman P, Riazi A, Pereira C, Jones F. Social participation post stroke: a meta-ethnographic review of the experiences and views of community-dwelling stroke survivors. Disabil Rehabil. 2014;36(24):2031-2043. doi:10.3109/09638288. 2014.887796
DOI: https://doi.org/10.3109/09638288.2014.887796
Gardiner S, Glogowska M, Stoddart C, Pendlebury S, Lasserson D, Jackson D. Older people's experiences of falling and perceived risk of falls in the community: A narrative synthesis of qualitative research. Int J Older People Nurs. 2017;12(4):10.1111/opn.12151. doi:10.1111/opn.12151.
DOI: https://doi.org/10.1111/opn.12151
Xu T, Clemson L, O'Loughlin K, Lannin NA, Dean C, Koh G. Risk factors for falls in community stroke survivors: a systematic review and meta-analysis. Arch Phys med Rehabil. 2018;99:563-573.
DOI: https://doi.org/10.1016/j.apmr.2017.06.032
Schmid AA, Rittman M. Consequences of poststroke falls: activity limitation, increased dependence, and the development of fear of falling. Am J Occup Ther. 2009;63(3):310-316. doi:10.5014/ajot.63.3.310.
DOI: https://doi.org/10.5014/ajot.63.3.310
Gassert R, and Dietz V. Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective. J. Neuro Eng. Rehabil 2018;15:1-15.
DOI: https://doi.org/10.1186/s12984-018-0383-x
Babaiasl M, Mahdioun SH, Jaryani P, Yazdani M. A review of technological and clinical aspects of robot-aided rehabilitation of upper-extremity after stroke. Disabil Rehabil Assist Technol. 2016;11(4):263-280. doi:10.3109/17483107.2014. 1002539
Fazekas G, Tavaszi I, Tóth A. [New Opportunities in Neurorehabilitation.. Ideggyogy Sz. 2016;69(5-6):148-154. doi:10.18071/isz.69.0148.
DOI: https://doi.org/10.18071/isz.69.0148
Poli P, Morone G, Rosati G, Masiero S. Robotic technologies and rehabilitation: new tools for stroke patients' therapy. Bio Med Res Int .2013:153872.
DOI: https://doi.org/10.1155/2013/153872
Mehrholz J, Hädrich A, Platz T, Kugler J, Pohl M. Electromechanical and robot-assisted arm training for improving generic activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database Syst Rev. 2012;(6):CD006876. Published 2012 Jun 13. doi:10.1002/14651858. CD006876.pub3.
DOI: https://doi.org/10.1002/14651858.CD006876.pub3
Masiero S, Poli P, Rosati G, et al. The value of robotic systems in stroke rehabilitation. Expert Rev Med Devices. 2014;11(2):187-198. doi:10.1586/ 17434440.2014.882766.
DOI: https://doi.org/10.1586/17434440.2014.882766
Skvortsov DV. Clinical analysis of movements. Stabilometry. Moscow: AOZT Antidor. 2000.
Puszczalowska-Lizis E, Bujas P, Jandzis S, Omorczyk J, Zak M. Inter-gender differences of balance indicators in persons 60-90 years of age. Clin Interv Aging. 2018;13:903-912.
DOI: https://doi.org/10.2147/CIA.S157182
Ware JE, Kosinski M, Dewey JE. How to score version 2 of the SF-36 Health Survey (standard and acute forms). Second edition Lincoln RI: Quality Metric Inc; 2001.
Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361-370.
DOI: https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
Mackintosh SF, Hill KD, Dodd KJ, Goldie PA, Culham EG. Balance score and a history of falls in hospital predict recurrent falls in the 6 months following stroke rehabilitation. Arch Phys Med Rehabil. 2006;87:1583-9.
DOI: https://doi.org/10.1016/j.apmr.2006.09.004
Jalayondeja C, Sullivan PE, Pichaiyongwongdee S. Six-month prospective study of fall risk factors identification in patients post-stroke. Geriatr Gerontol Int. 2014;14:778-85.
DOI: https://doi.org/10.1111/ggi.12164
Bower K, Thilarajah S, Pua YH ,Williams G, Tan D, Mentiplay B, Denehy L, Clark R. Dynamic balance and instrumented gait variables are independent predictors of falls following stroke. J Neuroeng Rehabil. 2019;16:3.
DOI: https://doi.org/10.1186/s12984-018-0478-4
Harris JE, Eng JJ, Marigold DS, Tokuno CD, Louis CL. Relationship of balance and mobility to fall incidence in people with chronic stroke. Phys Ther. 2005;85:150-8.
DOI: https://doi.org/10.1093/ptj/85.2.150
Persson CU, Hansson PO, Sunnerhagen KS. Clinical tests performed in acute stroke identify the risk of falling during the first year: postural stroke study in Gothenburg (Postgot). J Rehabil Med. 2011;43:348-53.
DOI: https://doi.org/10.2340/16501977-0677
Punt M, Bruijn SM, Wittink H, Van De Port IG, Van Dieën JH. Do clinical assessments, steady-state or daily-life gait characteristics predict falls in ambulatory chronic stroke survivors? J Rehabil Med. 2017;49:402-9.
DOI: https://doi.org/10.2340/16501977-2234
Sawacha Z, Carraro E, Contessa P, Guiotto A, Masiero S, Cobelli C. Relationship Between clinical and instrumental balance assessments in chronic post-stroke hemiparesis subjects. J Neuroeng Rehabil. 2013;10:95.
DOI: https://doi.org/10.1186/1743-0003-10-95
Foster EJ, Barlas RS, Bettencourt-Silva JH, Clark AB, Metcalf AK, Bowles KM, Potter JF, Myint PK. Long-Term Factors Associated With Falls and Fractures Poststroke. Front Neurol. 2018 Apr 3;9:210. doi: 10.3389/fneur.2018.00210.
DOI: https://doi.org/10.3389/fneur.2018.00210
Callaly EL, Ni Chroinin D, Hannon N, Sheehan O, Marnane M, Merwick A, Kelly LA, Horgan G, Williams E, Harris D, Williams D, Moore A, Dolan E, Murphy S, Kelly PJ, Duggan J, Kyne L. Falls and fractures 2 years after acute stroke: the North Dublin Population Stroke Study. Age Ageing. 2015 Sep;44(5):882-6. doi: 10.1093/ageing/afv093.
DOI: https://doi.org/10.1093/ageing/afv093
Wei WE, De Silva DA, Chang HM, Yao J, Matchar DB, Young SH, See SJ, Lim GH, Wong TH, Venketasubramanian N. Post-stroke patients with moderate function have the greatest risk of falls: A National Cohort Study. BMC Geriatr. 2019;19:373.
DOI: https://doi.org/10.1186/s12877-019-1377-7
De Bujanda E, Nadeau S, Bourbonnais D. Pelvic and shoulder movements in the frontal plane during treadmill walking in adults with stroke. J Stroke Cerebrovasc Dis. 2004;13:58-69.
DOI: https://doi.org/10.1016/j.jstrokecerebrovasdis.2004.02.006
Kubryak OV, Grokhovsky SS, Isakova EV, Kotov SV. Biofeedback by reference reaction: methodology and therapeutic aspects. Moscow: Maska; 2015.
Viccaro LJ, Perera S, Studenski SA. Is timed up and go better than gait speed in predicting health, function, and falls in older adults? J Am Geriatr Soc. 2011;59:887-92.
DOI: https://doi.org/10.1111/j.1532-5415.2011.03336.x
Cho KH, Lee GC. Impaired dynamic balance is associated with falling in post-stroke patients. Tohoku J Exp Med. 2013;230:233-9.
DOI: https://doi.org/10.1620/tjem.230.233
Verheyden GS, Weerdesteyn V, Pickering RM, Kunkel D, Lennon S, Geurts AC, Ashburn A. Interventions for preventing falls in people after stroke. Cochrane Database Syst Rev. 2013;CD008728.
DOI: https://doi.org/10.1002/14651858.CD008728.pub2
Bendtsen L, Evers S, Linde M, Mitsikostas DD, Sandrini G, Schoenen J; EFNS. EFNS guideline on the treatment of tension-type headache - report of an EFNS task force. Eur J Neurol. 2010 Nov;17(11):1318-25. doi: 10.1111/j.1468-1331.2010.03070.x.
DOI: https://doi.org/10.1111/j.1468-1331.2010.03070.x
Jos YS, Menshikov IA. The possibility of using nanobiodevice to improve the functional abilities of the brain (review). Journal of biomedical research. 2019;3:338-348.
Kostenko E, Petrova L, Rylsky A, Zuev D, Gorshkov D. Features of correction of statolocomotor disorders in patients after stroke with emotional and cognitive disorders: randomized clinical open-label controlled study. Pharmateca. 2020;27:78-88.
DOI: https://doi.org/10.18565/pharmateca.2020.3.78-88
Kołcz A, Urbacka-Josek J, Kowal M, Dymarek R, Paprocka-Borowicz M. Evaluation of Postural Stability and Transverse Abdominal Muscle Activity in Overweight Post-Stroke Patients: A Prospective, Observational Study. Diabetes Metab Syndr Obes. 2020 Feb 19;13:451-462. doi: 10.2147/DMSO.S235015.
DOI: https://doi.org/10.2147/DMSO.S235015
Norouzi-Gheidari N, Hernandez A, Archambault PS, Higgins J, Poissant L, Kairy D. Feasibility, Safety and Efficacy of a Virtual Reality Exergame System to Supplement Upper Extremity Rehabilitation Post-Stroke: A Pilot Randomized Clinical Trial and Proof of Principle. Int J Environ Res Public Health. 2019 Dec 23;17(1):113. doi: 10.3390/ijerph17010113.
DOI: https://doi.org/10.3390/ijerph17010113
Smith A, Ng A, Burgess ER, Weingarten N, Pacheco JA. Sensi-steps: using patient-generated data to prevent post-stroke falls. Amia Annu Symp Proc. 2017;2294-2298.
Chumbler NR, Li X, Quigley P, Morey MC, Rose D, Griffiths P, Sanford J, Hoenig H. A randomized controlled trial on stroke telerehabilitation: The effects on falls self-efficacy and satisfaction with care. J Telemed Telecare. 2015;21:139-43.
DOI: https://doi.org/10.1177/1357633X15571995
Masiero S, Armani M, Ferlini G, Rosati G, Rossi A. Randomized trial of a robotic assistive device for the upper extremity during early inpatient stroke rehabilitation. Neurorehabil Neural Repair. 2014;28(4):377-386. doi:10.1177/1545968313513073.
DOI: https://doi.org/10.1177/1545968313513073
Lo K, Stephenson M, Lockwood C. Effectiveness of robotic assisted rehabilitation for mobility and functional ability in adult stroke patients: a systematic review. JBI Database System Rev Implement Rep. 2017;15(12):3049-3091. doi:10.11124/JBISRIR-2017-003456.
DOI: https://doi.org/10.11124/JBISRIR-2017-003456
Doumas I, Everard G, Dehem S, Lejeune T. Serious games for upper limb rehabilitation after stroke: a meta-analysis. J Neuroeng Rehabil. 2021;18(1):100. Published 2021 Jun 15. doi:10.1186/s12984-021-00889-1.
DOI: https://doi.org/10.1186/s12984-021-00889-1
Lin SH, Dionne TP. Interventions to Improve Movement and Functional Outcomes in Adult Stroke Rehabilitation: Review and Evidence Summary. J Particip Med. 2018;10(1):e3. Published 2018 Jan 18. doi:10.2196/jopm.8929
DOI: https://doi.org/10.2196/jopm.8929
How to Cite
Zaborova, V., Fesyun, A., Gurevich, K., Oranskaya, A., Rylsky, A., Kryuchkova, K., Malakhovskiy, V., & Shestakov, D. (2021). Changes in kinesiostabilogram parameters and movement speed of stroke patients while increasing their physical activity due to the use of biofeedback method. European Journal of Translational Myology, 31(4). https://doi.org/10.4081/ejtm.2021.9360
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