Recent Progress in Wearable Brain–Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review

Author:

Zhang Jiayan12ORCID,Li Junshi12,Huang Zhe123,Huang Dong124,Yu Huaiqiang5,Li Zhihong12

Affiliation:

1. Beijing Advanced Innovation Center for Integrated Circuits, Beijing, China.

2. National Key Laboratory of Advanced Micro and Nano Manufacture Technology, School of Integrated Circuits, Peking University, Beijing, China.

3. Shenzhen Graduate School, Peking University, Shenzhen, China.

4. School of Electronics, Peking University, Beijing, China.

5. Sichuan Institute of Piezoelectric and Acousto-optic Technology, Chongqing, China.

Abstract

Importance: Brain–computer interface (BCI) decodes and converts brain signals into machine instructions to interoperate with the external world. However, limited by the implantation risks of invasive BCIs and the operational complexity of conventional noninvasive BCIs, applications of BCIs are mainly used in laboratory or clinical environments, which are not conducive to the daily use of BCI devices. With the increasing demand for intelligent medical care, the development of wearable BCI systems is necessary. Highlights: Based on the scalp-electroencephalogram (EEG), forehead-EEG, and ear-EEG, the state-of-the-art wearable BCI devices for disease management and patient assistance are reviewed. This paper focuses on the EEG acquisition equipment of the novel wearable BCI devices and summarizes the development direction of wearable EEG-based BCI devices. Conclusions: BCI devices play an essential role in the medical field. This review briefly summarizes novel wearable EEG-based BCIs applied in the medical field and the latest progress in related technologies, emphasizing its potential to help doctors, patients, and caregivers better understand and utilize BCI devices.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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