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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuanqing Li Jiahui Pan Jinyi Long Tianyou Yu Fei Wang Zhuliang Yu Wei Wu |
| Copyright Year | 1963 |
| Abstract | Despite rapid advances in the study of brain-computer interfaces (BCIs) in recent decades, two fundamental challenges, namely, improvement of target detection performance and multidimensional control, continue to be major barriers for further development and applications. In this paper, we review the recent progress in multimodal BCIs (also called hybrid BCIs), which may provide potential solutions for addressing these challenges. In particular, improved target detection can be achieved by developing multimodal BCIs that utilize multiple brain patterns, multimodal signals, or multisensory stimuli. Furthermore, multidimensional object control can be accomplished by generating multiple control signals from different brain patterns or signal modalities. Here, we highlight several representative multimodal BCI systems by analyzing their paradigm designs, detection/control methods, and experimental results. To demonstrate their practicality, we report several initial clinical applications of these multimodal BCI systems, including awareness evaluation/detection in patients with disorder of consciousness (DOC). As an evolving research area, the study of multimodal BCIs is increasingly requiring more synergetic efforts from multiple disciplines for the exploration of the underlying brain mechanisms, the design of new effective paradigms and means of neurofeedback, and the expansion of the clinical applications of these systems. |
| Sponsorship | IEEE Publication |
| Starting Page | 332 |
| Ending Page | 352 |
| Page Count | 21 |
| File Size | 1795786 |
| File Format | |
| ISSN | 00189219 |
| Volume Number | 104 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Electroencephalography Wheelchairs Biomedical signal processing Electromyography Graphical user interfaces multimodal brain–computer interface (BCI) Audiovisual BCI awareness evaluation brain switch cursor control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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