JOURNAL ARTICLE

EEG and FNIRS Hybrid Brain Computer Interface Technology in Rehabilitation Medicine

Chenghao Jiang

Year: 2024 Journal:   Science and Technology of Engineering Chemistry and Environmental Protection Vol: 1 (10)

Abstract

The field of rehabilitation healthcare is facing both opportunities and challenges due to issues such as the increase in the number of patients with chronic diseases and the ageing of the population. With the increasing demand for rehabilitation healthcare, these issues are gradually gaining attention. Brain computer interface (BCI), as a brand new diagnostic and therapeutic means, cross-fertilises multiple disciplines, while hybrid brain-computer interface (HBCI) technology is a research hotspot in recent years, which breaks through the limitations of the unimodal BCI technology by combining the two paradigms, and brings a new hope to patients with stroke and other diseases. This paper first analyses the current situation of the rehabilitation medical field and discusses the importance of receiving rehabilitation medical treatment for patients with chronic diseases and other diseases. Subsequently, it introduces the development history of brain-computer interface technology, analyses its research status, and explains its technical principles. Then, the application of hybrid brain-computer interface technology is analysed from three types of diseases, namely, limb movement disorders, chronic consciousness disorders, and mental illnesses. Finally, the current problems of hybrid brain-computer interface technology are discussed, and the prospect of the application of hybrid brain-computer interface technology in the field of rehabilitation medicine is outlooked.

Keywords:
Brain–computer interface Electroencephalography Rehabilitation Interface (matter) Physical medicine and rehabilitation Computer science Human–computer interaction Psychology Neuroscience Medicine

Metrics

1
Cited By
0.70
FWCI (Field Weighted Citation Impact)
0
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
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