Keywords
How to Cite
Abstract
Early mobilization and verticalization of patients within the first 48–72 hours following an ischemic stroke are recognized as critical factors determining the minimization of residual neurological deficits. However, conventional kinesitherapy during this period is associated with risks of orthostatic disorders and demands substantial physical effort from the rehabilitation team. An alternative high-tech solution is the integration of robotic systems capable of reproducing precise cyclic biomechanical gait algorithms, guaranteeing strict control and a safe hemodynamic response to physical loading.
References
1. Winstein, C. J., Stein, J., Arena, R. et al. (2016) Guidelines for Adult Stroke Rehabilitation and Recovery: A Guideline for Healthcare Professionals from the American Heart Association/American Stroke Association. Stroke, vol. 47, no. 6, pp. e98–e169. (Базовое международное руководство по срокам начала реабилитации и вертикализации).
2. Mehrholz, J., Thomas, S., Werner, C. et al. (2017) Electromechanical-assisted training for walking after stroke: a Cochrane Systematic Review. Cochrane Database of Systematic Reviews, no. 5, p. CD002840. (Крупнейшее метаисследование, доказывающее эффективность роботизированных локомоторных тренировок).
3. Morone, G., Paolucci, S., Cherubini, A. et al. (2020) Roboticgait training in stroke patients: Who, when and how? A systematic review and meta-analysis. Journal of NeuroEngineering and Rehabilitation, vol. 17, no. 1, p. 129. (Анализ влияния экзоскелетов на восстановление паттерна ходьбы).
4. Geroin, C., Mazzoleni, S., Smania, N. et al. (2019) Systematic review of robotic devices for lower limb rehabilitation in stroke patients. Journal of Rehabilitation Medicine, vol. 51, no. 4, pp. 231–241. (Обзор аппаратов механотерапии для нижних конечностей в ранние сроки после инсульта).
5. Rodgers, H., Shaw, L., Bosomworth, H. et al. (2019) Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for stroke patients (RATULS): a multicentre randomised controlled trial. The Lancet, vol. 394, no. 10197, pp. 475–485. (Авторитетное клиническое исследование эффективности роботизированной ассистенции).