Multimodal Correction of Post-stroke Motor and Cognitive Impairments
Condition: Stroke Rehabilitation
MeSH terms: Stroke; Cognitive Dysfunction
Study type: Interventional

Summary: 
      The aim of the study is the development and scientific substantiation of the effectiveness
      and safety of multimodal rehabilitation technology using innovative digital technologies,
      biofeedback (BFB), virtual reality (VR), neurointerface for the restoration of
      stato-locomotor disorders, neuromuscular control of upper limb movements and cognitive
      functions in patients with ischemic stroke (IS) in different recovery periods with
      rehabilitation risks control in outpatient clinic.
    

Detailed description: 
      The object of the study The study will include 90 patients (men and women) with the diagnosis
      of ischemic stroke (IS) in the early recovery (up to 6 months) and late recovery (6-12
      months) periods with stato-locomotor disturbances, dysfunction (violation of neuromuscular
      movement control) of the upper limb (UL), mild or moderate cognitive impairment.

      Patients will be randomly assigned to one of three experimental groups - 2 main groups in the
      early (30 patients) and in the late recovery period (30 patients) of IS and 1 comparison
      group (30 patients) in the early and late recovery periods of IS.

      Each participant of the study will be assigned an ordinal number. Patients of the 1st and 2nd
      main groups are planned to undergo a rehabilitation course with multimodal correction,
      depending on the severity of functional and neuropsychological disturbances with the use of
      FBF-stabilometric training, cognitive-motor training with double and triple tasks in a
      virtual environment, functional individually programmed stimulation of antagonist muscles of
      the lower limb (FES), training of subject-manipulative activity for the restoration of fine
      hand movements on the glove simulator "SensoRehab"; when severe and moderate paresis of the
      upper limb, the neurointerface "Exokist-3" with EEG registration will be used.

      The mode of application of multimodal correction technology: 15 procedures, 2-3 times a week,
      the duration of the course is 5-8 weeks. The total duration of one procedure is 2-3 hours a
      day.

      Multimodal correction technology will not be included in the rehabilitation program of
      patients in the comparison group.
    

Intervention name(s): Multimodal technology (MT); Conventional rehabilitation (CR)
Intervention type(s): Other; Other
Intervention description(s): Patients will receive a course of rehabilitation with multimodal correction using BOS-stabilometric training, cognitive-motor training with double and triple tasks once a day for the affected hand, virtual reality, functional individually programmed stimulation of antagonist muscles of the lower limb (FES), subject-manipulative activity training to restore fine movements of the hand on a glove simulator "SensoRehab", in moderate paresis of the upper limb, the neurointerface "Exokist-3" with EEG registration will be used. The program for IS patients includes 15 sessions with the MT: 15-30 minutes every method 2-3 times a week, 5-8 weeks.The total duration of one procedure is 2-3 hours.; The patients will recieve Conventional rehabilitation technology (physiotherapy, kinesiotherapy, occupational therapy. The program for IS patients includes 15 sessions with the CR: 15-30 minutes every method 2-3 times a week, 5-8 weeks.The total duration of one procedure is 2-3 hours.
Allocation: Randomized
Intervention model: Parallel Assignment
Intervention model description: Open lable randomized clinical trial
Masking: Single (Participant)
Primary purpose: Treatment
Keywords: ischemic stroke rehabilitation; post-stroke dysfunction of the hand; cognitive disfunction; artificial intelligence; virtual reality; neurointerface; smart glove; biofeedback; cardiology risk control; upper limb medical rehabilitation; digital interactive technology