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Revolutionizing medical care: Wearable EEG-Based BCIs' new advances

01.06.24 | Health Data Science

DJI Air 3 (RC-N2)

DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.
Figure 3: Wearable forehead-EEG based BCIs and their medical applications
(a) Brain Research Center of National Chiao Tung University developed Mindo 4S EEG device. (b) Shenzhen Macrotellect Company designed BrainLink Lite. (c) NeuroSky Company developed MindWave Mobile. (d) Chiu et al. from University of Technology built an SSVEP-based BCI eating assistive system. (e) Li et al. from Xi’an Jiaotong University introduced a BCI system for wrist rehabilitation. (f) Salih et al. designed a BCI-based visual keyboard using the MindWave Mobile headset. With the QWERTY virtua Credit: (a) ©2017 IEEE. Reprinted, with permission, from Lin et al., Forehead EEG in support of future feasible personal healthcare solutions: sleep management, headache prevention, and depression treatment. IEEE Access. 2017;5:10612-10621. DOI: 10.1109/ACCESS.20

The latest review in Health Data Science , a Science Partner Journal, highlights significant advancements in wearable electroencephalogram (EEG) technologies for non-invasive brain-computer interfaces (BCIs). This review is particularly valuable for researchers and clinicians new to BCI applications, offering insights into mainstream wearable non-invasive BCIs and the latest research reports.

Professor Zhihong Li from Peking University underscores the need for wearable BCIs, noting their potential to facilitate intelligent medical care beyond laboratory and clinical settings. “Wearable BCI systems are essential in the burgeoning field of intelligent medical care,” says Li.

The review emphasizes the practicality of BCIs in continuous monitoring of intermittent neurological diseases like epilepsy and migraine, as well as in controlling assistive devices in real-life scenarios. “For effective daily use, the wearability of BCIs is crucial,” explains Dr. Junshi Li from Peking University. Unlike other non-invasive BCIs, EEG can be acquired through scalp-based electrodes, making it more suitable for everyday wear.

Categorized into scalp-, forehead-, and ear-EEG based on recording locations, the review addresses the unique advantages and challenges of each. Scalp-EEG, though offering richer brain information, faces challenges in wearability and hair interference. On the other hand, forehead- and ear-EEG are more user-friendly, with ear-EEG poised to become a mainstream technology in the future.

“Improvements in ear-EEG signal mapping and data processing algorithms will likely make ear-EEG-based wearable BCIs a leading technology,” predicts Jiayan Zhang, a doctoral candidate at Peking University.

Despite the advancements, wearable BCI technology still requires further development, including addressing individual differences in EEG signals and enhancing system robustness against user and environmental interferences. Zhang envisions a future with simpler, more functional, and automated EEG-based wearable BCI devices, significantly advancing medical technology in areas like disease prediction, diagnosis, treatment, and auxiliary equipment control.

Health Data Science

10.34133/hds.0096

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

19-Dec-2023

Additional Media

Figure 2: Wearable scalp-EEG based BCIs and their medical applications
(a) Emotiv EPOC headset. (b) DSI-24 headset. (c) OpenBCI Ultracortex “Mark IV” headset. (d) Jure et al. from National University of Entre Ríos presented a functional electrical stimulation (FES) based BCI system, which was made up of an Emotiv EPOC headset for EEG signal recording. (e) Tabering et al. from National University of Entre Ríos used the BCI-FES system to perform neurorehabilitation therapy for patients with sequelae of ischemic stroke and evaluated the effects. Before and after the i Credit: a) ©2016 EDP Sciences. Reprinted, with permission, from Swee et al. (b) https://www.neurospec.com/Products/Details/1079/dsi-24 (c) https://docs.openbci.com/AddOns/Headwear/MarkIV/ (d) ©2016 IOPscience. Reprinted, with permission, from Jure et al., BCI-
Figure 4: Wearable ear-EEG based BCIs and their medical applications
(a-b) Scientists from Imperial College London designed two kinds of in-the-ear electrodes. (c) Debener and Bleichner et al. from the University of Oldenburg designed a flexible c-shape ear-EEG acquisition sensor (cEEGrid) (d) Kaongoen et al. from Korea Advanced Institute of Science and Technology designed an online BCI system based on the behind the ear electrodes. (e) Mirkovic et al. from University of Oldenburg developed an ear-EEG BCI for the attended speaker identifying, and the positive cor Credit: (a) Used with permission of IEEE, from An in-the-ear platform for recording electroencephalogram, Looney et al., 2011; permission conveyed through Copyright Clearance Center, Inc. (b) Used with permission of IEEE, from In-ear EEG from viscoelastic generic

Keywords

Wearable Devices

Article Information

Journal
Health Data Science
DOI
10.34133/hds.0096
Article Publication Date
2023-12-19
Article Title
Recent Progress in Wearable Brain–Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review

Contact Information

Mai Wang
Health Data Science
mai_wang@outlook.com
Yu Yang
Health Data Science
yangyu@bjmu.edu.cn

Source

Original Source
https://spj.science.org/doi/10.34133/hds.0096

How to Cite This Article

APA:
Health Data Science. (2024, January 6). Revolutionizing medical care: Wearable EEG-Based BCIs' new advances. Brightsurf News. https://www.brightsurf.com/news/L5973M98/revolutionizing-medical-care-wearable-eeg-based-bcis-new-advances.html
MLA:
"Revolutionizing medical care: Wearable EEG-Based BCIs' new advances." Brightsurf News, Jan. 6 2024, https://www.brightsurf.com/news/L5973M98/revolutionizing-medical-care-wearable-eeg-based-bcis-new-advances.html.