Detections of Steady-State Visual Evoked Potential and Simultaneous Jaw Clench Action from Identical Occipital Electrodes: A Hybrid Brain-Computer Interface Study

Zhang, Zhimin; Chai, Xiaodong; Guan, Kai; Liu, Tao; Xu, Jinxiu; Fan, Yubo; Huang, Niu

doi:10.1007/s40846-021-00662-8

Cited by 2 publications

(1 citation statement)

References 28 publications

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“…Such integration raises the requirement of control accuracy and versatility, which is more challenging to achieve in comparison to the single device case. A hBCI has recently been proposed to address the limitations of existing singlemodal BCIs in terms of accuracy and information transfer rate (ITR) by combining more than one modality [64], [58], [65]- [70]. Researchers have tried to combine brain activity with nonbrain activity, such as eye movement activity measured using EOG [71]- [73].…”

Section: Related Workmentioning

confidence: 99%

Pilot Experiments and Hardware Design of Smart Electrooculographic Headband for People With Muscular Paralysis

Kosnacova,

Horvath,

Stremy

et al. 2024

IEEE Access

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Millions of individuals worldwide suffer from a motor disability, impeding their ability to perform daily tasks independently. Modern technologies, such as electrooculography (EOG), offer tools to enhance their quality of life. EOG, an electrophysiological method, detects DC potentials influenced by eye movements, making it particularly advantageous for individuals with motor impairments who retain ocular mobility. This article describes pilot experiments that includes the basic design of an electrodes configuration for peripheral solutions, their optimization, and the addition of sensors to measure other vital physiological parameters such as photoplethysmography (PPG) and electrocardiography (ECG) on demand. We tested all the EOG methodologies and connections that our device should contain, using the Mindmedia Nexus-10 MKII for EOG, the Analog Devices MAXM86146 optical biosensor module for PPG signals, the Texas Instruments ADS1299 biopotential circuit for ECG. The evaluation and filtering of the collected data were carried out in the MATLAB environment. Finally, we present a hardware concept based on a new approach that, unlike standard EOG, incorporates three large-area conductive fabric electrodes in a headband for practical and comfortable long-term non-manual human-machine interface (HMI). Our measurements are crucial for monitoring the patients' health status, mood variations, and can help prevent complications or speed up treatment. The primary goal of this research was to present our innovative concept and confirm its feasibility, bringing us closer to the realization of a fully developed and functional device.

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Section: Related Workmentioning

confidence: 99%

Pilot Experiments and Hardware Design of Smart Electrooculographic Headband for People With Muscular Paralysis

Kosnacova,

Horvath,

Stremy

et al. 2024

IEEE Access

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Design of an fNIRS–EEG hybrid terminal for wearable BCI systems

Jeong,

Seo,

Kim

2024

Review of Scientific Instruments

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The importance of brain–computer interfaces (BCI) is increasing, and various methods have been developed. Among the developed BCI methods, functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) are favored due to their non-invasive feature and compact device sizes. EEG monitors the electrical potentials generated by the activation of neurons, and fNIRS monitors the blood flow also generated by neurons, resulting in signals with different properties between the two methods. As the two BCI methods greatly differ in the characteristics of the acquired neural activity signals, for cases of estimating the intention or thought of a subject by BCI, it has been proven that further accurate information may be extracted by utilizing both methods simultaneously. Both systems are powered by electricity, and as EEG systems are greatly sensitive to electrical noises, application of two separate fNIRS and EEG systems together may result in electrical interference as the systems are required to be in contact with the skin and stray currents from the fNIRS system may flow along the surface of the skin into the EEG system. This research proposes a wearable fNIRS–EEG hybrid BCI system, where a single terminal is capable of operating both as a continuous wave fNIRS emitter and as a detector, and also as an EEG electrode. The system has been designed such that the fNIRS and EEG components are electrically separated to avoid electrical interference between each other. It is expected that by utilizing the developed fNIRS–EEG hybrid terminals, the development of BCI analysis may be further accelerated in various fields.

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Detections of Steady-State Visual Evoked Potential and Simultaneous Jaw Clench Action from Identical Occipital Electrodes: A Hybrid Brain-Computer Interface Study

Cited by 2 publications

References 28 publications

Pilot Experiments and Hardware Design of Smart Electrooculographic Headband for People With Muscular Paralysis

Pilot Experiments and Hardware Design of Smart Electrooculographic Headband for People With Muscular Paralysis

Design of an fNIRS–EEG hybrid terminal for wearable BCI systems

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