Surface Potential Simulation and Electrode Design for in-Ear EEG Measurement

Das, Abhranila; Basu, Subhadeep; Adarsh, AK; Gubbi, Jayavardhana; Muralidharan, Kartik; Meghana, S; Mahendiran, S; Biradar, Amagond; Pradhan, Ullas; Chakravarty, Tapas; Ramakrishnan, Ramesh Kumar; Pal, Arpan

doi:10.1109/embc48229.2022.9871926

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Following the original ear-EEG research, the majority of in-ear EEG devices were designed as electrodes embedded in personalized earpieces [12][13][14][15][16][17][18][19][20][21][22], with only minor adjustments from the original works such as changing the material for the earpieces and electrodes [23][24][25][26] or making the electrodes an active type [27]. The process of creating these personalized earpieces involved taking a wax impression of the individual's ear, 3D scanning the impressed ear shape, creating a computer-aided design (CAD) model of the earpiece, and using additive manufacturing technology.…”

Section: In-ear Eeg Sensing Device Design 3111 Personalized Earpiecementioning

confidence: 99%

“…Introducing a fusion of the ear-EEG approach with a wearable EEG processing module could significantly enhance the system's wearability and mobility, potentially making it viable for everyday use. Many studies leverage commercial-grade wearable EEG equipment such as SMARTING mobile amplifier (www.mbraintrain.com) that is used in most around-ear EEG studies involving cEEGrid, OpenBCI biosensing board (www.openbci.com) [20,26,29,44,52,65,69], WANDmini [33], or NeuroSky Mindwave headset (www.neurosky.com) [71,72] for their signal processing. However, these studies merely attach the equipment to the subject's attire or place it on a table during experiments, without incorporating any substantial design efforts to create a seamlessly wearable and stylish system.…”

Section: Signal Processing Hardware Used In Ear-eeg Studiesmentioning

confidence: 99%

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The future of wearable EEG: a review of ear-EEG technology and its applications

Kaongoen,

Choi,

Woo Choi

et al. 2023

J. Neural Eng.

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Objective:This review paper provides a comprehensive overview of ear-EEG technology, which involves recording electroencephalogram (EEG) signals from electrodes placed in or around the ear, and its applications in the field of neural engineering.Approach:We conducted a thorough literature search using multiple databases to identify relevant studies related to ear-EEG technology and its various applications. We selected 123 publications and synthesized the information to highlight the main findings and trends in this field.Main Results:Our review highlights the potential of ear-EEG technology as the future of wearable EEG technology. We discuss the advantages and limitations of ear-EEG compared to traditional scalp-based EEG and methods to overcome those limitations. Through our review, we found that ear-EEG is a promising method that produces comparable results to conventional scalp-based methods. We review the development of ear-EEG sensing devices, including the design, types of sensors, and materials. We also review the current state of research on ear-EEG in different application areas such as brain-computer interfaces, and clinical monitoring.Significance:This review paper is the first to focus solely on reviewing ear-EEG research articles. As such, it serves as a valuable resource for researchers, clinicians, and engineers working in the field of neural engineering. Our review sheds light on the exciting future prospects of ear-EEG, and its potential to advance neural engineering research and become the future of wearable EEG technology.

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Section: In-ear Eeg Sensing Device Design 3111 Personalized Earpiecementioning

confidence: 99%

Section: Signal Processing Hardware Used In Ear-eeg Studiesmentioning

confidence: 99%

The future of wearable EEG: a review of ear-EEG technology and its applications

Kaongoen,

Choi,

Woo Choi

et al. 2023

J. Neural Eng.

View full text Add to dashboard Cite

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Design and evaluation of Ear-ECG system

Adarsh,

Jhanavi,

Jayas

et al. 2024

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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

Zhang,

Li,

Huang

et al. 2023

Health Data Sci

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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.

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Surface Potential Simulation and Electrode Design for in-Ear EEG Measurement

Cited by 4 publications

References 16 publications

The future of wearable EEG: a review of ear-EEG technology and its applications

The future of wearable EEG: a review of ear-EEG technology and its applications

Design and evaluation of Ear-ECG system

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

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