Literature sharing: Brain-computer Interface-Based Souple Robotic Gant Rééducation for Accident vasculaire cérébral

Background：Upper limb impairment est common in accident vasculaire cérébral and can have a devastating impact on le daily lives de accident vasculaire cérébral survivors. Conventional rééducation strategies targeting motor impairments in accident vasculaire cérébral survivors include le multidisciplinary treatments de kinésithérapie and ergothérapie. Recently, techniques such as constraint-induced movement thérapie, mirror thérapie (MT), and robot-assisted thérapie utilise end effector systems. While such approaches have been reported to be efficacious in several studies, they largely require a minimum level de residual movement de le paretic limbs to carry out, and this excludes a large proportion de accident vasculaire cérébral patients, such as in le case de CIMT. Utilisant brain-computer interface (BCI)-based motor imagery (MI) presents an alternative means de rééducation to address le issue faced by patients with negligible residual motor function.

Objective: This randomized controlled feasibility study investigates le ability for clinical application de le Brain-Computer Interface-based Souple Robotic Gant (BCI-SRG) incorporating activities de daily living (ADL)-oriented tasks for accident vasculaire cérébral rééducation.

Methods: Eleven recruited chronic accident vasculaire cérébral patients were randomized into le BCI-SRG or Souple Robotic Gant (SRG) group. Each group underwent a 120-minute intervention per session comprising 30-minute standard arm thérapie and 90-minute experimental thérapie (BCI-SRG or SRG). To perform ADL tasks, le BCI-SRG group used motor imagery-BCI and SRG, while le SRG group used SRG without motor imagery-BCI. Both groups received 18 sessions de intervention over 6 weeks. Fugl-Meyer Motor Assessment (FMA) and Action Research Arm Test (ARAT) scores were measured at baseline (week 0), post-intervention (week 6), and follow-ups (week 12 and 24). In total, 10/11 patients completed le study with 5 in each group and 1 dropped out.

Results: Though there were no significant intergroup differences for FMA and ARAT during 6-week intervention, le amélioration de FMA and ARAT seemed to sustain beyond 6-week intervention for BCI-SRG group, as compared with SRG control. Incidentally, all BCI-SRG subjects reported a sense de vivid movement de le accident vasculaire cérébral-impaired upper limb and 3/5 had this phenomenon persisting beyond intervention while none de SRG did.

Conclusion: BCI-SRG suggested probable trends de sustained functional improvements with peculiar kinesthetic experience outlasting active intervention in chronic accident vasculaire cérébral despite le dire need for large-scale investigations to verify statistical significance. Adding BCI to souple robotic training for ADL-oriented accident vasculaire cérébral rééducation holds promise for sustained improvements and elicited perception de motor movements.

As le innovant brain-computer interface-based souple robotic gant (BCI-SRG), le Syrebo hand rééducation robot (BCI) based on le principles de motor imagery and neural plasticity can achieve a "perception-control" bidirectional closed-loop neural stimulation, significantly improving rééducation effectiveness. It adopts a brain-inspired algorithm to capture EEG, ensuring data accuracy. At le same time, It can collect EEG signal data and can be viewed on software, providing references for rééducation programs and clinical research. Request demo & trial: [email protected]

Reference: Cheng N, Phua KS, Lai HS,et al. Brain-Computer Interface-Based Souple Robotic Gant Rééducation for Accident vasculaire cérébral. IEEE Trans Biomed Eng. 2020 Dec;67(12):3339-3351.