Literature sharing: interfaccia cervello-computer-Based Soft Robotic Glove riabilitazione for ictus - ictus Center

Background：Upper arto impairment is common in ictus and can have a devastating impact on the daily lives of ictus survivors. Conventional riabilitazione strategies targeting motor impairments in ictus survivors include the multidisciplinary treatments of fisioterapia and terapia occupazionale. Recently, techniques such as constraint-induced movement terapia, terapia dello specchio (MT), and robot-assisted terapia utilise end effector systems. While such approaches have been reported to be efficacious in several studies, they largely require a minimum level of residual movement of the paretic limbs to carry out, and this excludes a large proportion of ictus patients, such as in the case of CIMT. Using interfaccia cervello-computer (BCI)-based motor imagery (MI) presents an alternative means of riabilitazione to address the issue faced by patients with negligible residual motor function.

Objective: This randomized controlled feasibility studio investigates the ability for clinico applicazione of the interfaccia cervello-computer-based Soft Robotic Glove (BCI-SRG) incorporating activities of daily living (ADL)-oriented tasks for riabilitazione post-ictus.

Methods: Eleven recruited chronic ictus patients were randomized into the BCI-SRG or Soft Robotic Glove (SRG) group. Each group underwent a 120-minute intervention per sessione comprising 30-minute standard braccio terapia and 90-minute experimental terapia (BCI-SRG or SRG). To perform ADL tasks, the BCI-SRG group used motor imagery-BCI and SRG, while the SRG group used SRG without motor imagery-BCI. Both groups received 18 sessions of intervention over 6 weeks. Fugl-Meyer Motor valutazione (FMA) and Action ricerca braccio 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 the studio 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, the miglioramento of 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 of vivid movement of the ictus-impaired upper arto and 3/5 had this phenomenon persisting beyond intervention while none of SRG did.

Conclusion: BCI-SRG suggested probable trends of sustained functional improvements with peculiar kinesthetic esperienza outlasting active intervention in chronic ictus despite the dire need for large-scale investigations to verify statistical significance. Adding BCI to soft robotic allenamento for ADL-oriented riabilitazione post-ictus holds promise for sustained improvements and elicited perception of motor movements.

As the innovativo interfaccia cervello-computer-based soft robotic glove (BCI-SRG), the Syrebo mano robot per la riabilitazione (BCI) based on the principles of motor imagery and neural plasticity can achieve a "perception-control" bidirectional closed-loop neural stimulation, significantly improving riabilitazione efficacia. It adopts a brain-inspired algorithm to capture EEG, ensuring dati accuracy. At the same time, It can collect EEG signal dati and can be viewed on software, providing references for riabilitazione programs and clinico ricerca. Request demo & trial: [email protected]

Reference: Cheng N, Phua KS, Lai HS,et al. interfaccia cervello-computer-Based Soft Robotic Glove riabilitazione for ictus. IEEE Trans Biomed Eng. 2020 Dec;67(12):3339-3351.