Soft Robotic Glove with Alpha Band Brain Computer Interface for Post-Stroke Hand Function Rehabilitation

 It's not effective if you don't get to 100% recovery.

Soft Robotic Glove with Alpha Band Brain Computer Interface for Post-Stroke Hand Function Rehabilitation

Xiaodong Li; Junlin Wang; Xiang Cao; Wei Huang; Yong Hu

All Author

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Abstract

Document Sections

• I.
  Introduction
• II.
  Method
• III.
  Result
• IV.
  Discussion and Conclusion

Authors

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Keywords

Abstract:

Loss of hand dexterity is a major challenge faced by post-stroke patients who strive to resume their ordinary daily lives. Effective hand function rehabilitation treatment for such population is therefore necessary. A soft robotic glove system operated through SSVEP-based BCI has been reported to be an effective tool for post-stroke hand motor function recovery. This study further evaluated the application of visual stimulation in the alpha band for SSVEP-assisted rehabilitation. We compared the treatment outcome with stimulations within the alpha band to that outside the band. A total of 20 post-stroke patients with severe upper limb dysfunction were randomly assigned to alpha band group and non-alpha band group. The experiment result was assessed with Fugl-Meyer upper limb Motor Assessment (FMAUE) and alpha EEG oscillation analysis. The alpha band group showed slightly but notably higher FMA-UE scores (P<0.05), and significantly increased alpha wave EEG oscillations (P<0.05). The result demonstrated the usefulness of alpha band SSVEP for post stroke hand function rehabilitation.

Published in: 2022 14th Biomedical Engineering International Conference (BMEiCON)

Date of Conference: 10-13 November 2022

Date Added to IEEE Xplore: 16 January 2023

ISBN Information:

Print on Demand(PoD) ISSN: 2334-3052

DOI: 10.1109/BMEiCON56653.2022.10012103

Publisher: IEEE

Conference Location: Songkhla, Thailand