Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids

Qiteng Zhang; Bin Fu

doi:10.47297/wspbdsWSP2752-630506.20260601

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Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids

6卷第1期

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Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids
Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids
Xi'an Fanyi University, Xi'an, Shaanxi, 710105, China
2026年6卷第1期页码：27-30
纸质出版：2026-03-30
DOI：10.47297/wspbdsWSP2752-630506.20260601
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Qiteng Zhang & Bin Fu. (2026). Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids. 生物医学大数据, 6(1), 27-30.

Zhang Qiteng,Fu Bin.Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids[J].Biomedical Data Science,2026,06(01):27-30.
Qiteng Zhang & Bin Fu. (2026). Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids. 生物医学大数据, 6(1), 27-30. DOI： 10.47297/wspbdsWSP2752-630506.20260601.

Zhang Qiteng,Fu Bin.Practical Barriers and Strategies for Promoting the Application of Brain-Computer Interface Rehabilitation Aids[J].Biomedical Data Science,2026,06(01):27-30. DOI： 10.47297/wspbdsWSP2752-630506.20260601.

摘要

Abstract

Neurological injuries or diseases often result in severe motor and communication impairments in patients

significantly limiting their ability to perform activities of daily living and participate in society. Brain-computer interface (BCI) technology decodes neural signals to help patients restore or compensate for lost functions

thereby improving their ability to live independently and their quality of life. Consequently

this paper conducts an in-depth exploration of the key practical barriers to the promotion and application of BCI-based rehabilitation assistive devices

as well as feasible systematic strategies for advancing their development. The aim is to provide useful guidance for overcoming barriers to technology transfer and accelerating the realisation of the social value and widespread adoption of such assistive devices.

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references

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Elashmawi W. H. , Ayman A. , Antoun M. , Mohamed H. , Mohamed S. E. , Amr H. , ... & Ali , A . 2024 . A comprehensive review on brain–computer interface (BCI)-based machine and deep learning algorithms for stroke rehabilitation. Applied Sciences, 14 ( 14 ), 6347 .

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