Recent advances in wireless epicortical and intracortical neuronal recording systems

Ji, Bowen; Liang, Zekai; Yuan, Xiaohui; Xu, Hui; Wang, Minghao; Yin, Erwei; Guo, Zhejun; Wang, Longchun; Zhou, Yuhao; Feng, Huicheng; Chang, Honglong; Liu, Jingquan

doi:10.1007/s11432-021-3373-1

Cited by 16 publications

(9 citation statements)

References 112 publications

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“…Finally, in recent years, implantable brain–computer interfaces have enabled stable monitoring of signals [ 80 , 81 , 82 , 83 ]. Although its main application area is to assist people with motor impairments to control assistive devices [ 80 , 81 ], sensors on EEG signals may further advance the development of sleep monitoring technology in the future.…”

Section: Bioelectrical Signal Monitoringmentioning

confidence: 99%

Recent Progress in Long-Term Sleep Monitoring Technology

Yin

Ren

2023

Biosensors

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Sleep is an essential physiological activity, accounting for about one-third of our lives, which significantly impacts our memory, mood, health, and children’s growth. Especially after the COVID-19 epidemic, sleep health issues have attracted more attention. In recent years, with the development of wearable electronic devices, there have been more and more studies, products, or solutions related to sleep monitoring. Many mature technologies, such as polysomnography, have been applied to clinical practice. However, it is urgent to develop wearable or non-contacting electronic devices suitable for household continuous sleep monitoring. This paper first introduces the basic knowledge of sleep and the significance of sleep monitoring. Then, according to the types of physiological signals monitored, this paper describes the research progress of bioelectrical signals, biomechanical signals, and biochemical signals used for sleep monitoring. However, it is not ideal to monitor the sleep quality for the whole night based on only one signal. Therefore, this paper reviews the research on multi-signal monitoring and introduces systematic sleep monitoring schemes. Finally, a conclusion and discussion of sleep monitoring are presented to propose potential future directions and prospects for sleep monitoring.

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Section: Bioelectrical Signal Monitoringmentioning

confidence: 99%

Recent Progress in Long-Term Sleep Monitoring Technology

Yin

Ren

2023

Biosensors

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“…8 Guangdong Institute of Intelligence Science and Technology, Hengqin, 519031 Zhuhai, Guangdong, China. 9 Tianqiao and Chrissy Chen Institute for Translational Research, Shanghai, China…”

Section: Conflict Of Interestmentioning

confidence: 99%

“…Highly precise optogenetic and electrophysiological studies provide an approach to correlate the neural activity of specific cells to observed behaviors, which is important for the explorations of neural circuits in the brain and the pathologies of the nervous system [1][2][3] . Embedded optical fibers 4,5 and electrode probes [6][7][8][9] are the most common invasive devices in the studies of these areas. Previous studies have shown that foreign body reactions due to chronic tissue damage lead to gradual encapsulation of the implanted probes, resulting in dysfunction of the devices 10 .…”

Section: Introductionmentioning

confidence: 99%

A silk-based self-adaptive flexible opto-electro neural probe

Zhou

Liang

et al. 2022

Microsyst Nanoeng

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The combination of optogenetics and electrophysiological recording enables high-precision bidirectional interactions between neural interfaces and neural circuits, which provides a promising approach for the study of progressive neurophysiological phenomena. Opto-electrophysiological neural probes with sufficient flexibility and biocompatibility are desirable to match the low mechanical stiffness of brain tissue for chronic reliable performance. However, lack of rigidity poses challenges for the accurate implantation of flexible neural probes with less invasiveness. Herein, we report a hybrid probe (Silk-Optrode) consisting of a silk protein optical fiber and multiple flexible microelectrode arrays. The Silk-Optrode can be accurately inserted into the brain and perform synchronized optogenetic stimulation and multichannel recording in freely behaving animals. Silk plays an important role due to its high transparency, excellent biocompatibility, and mechanical controllability. Through the hydration of the silk optical fiber, the Silk-Optrode probe enables itself to actively adapt to the environment after implantation and reduce its own mechanical stiffness to implant into the brain with high fidelity while maintaining mechanical compliance with the surrounding tissue. The probes with 128 recording channels can detect high-yield well-isolated single units while performing intracranial light stimulation with low optical losses, surpassing previous work of a similar type. Two months of post-surgery results suggested that as-reported Silk-Optrode probes exhibit better implant-neural interfaces with less immunoreactive glial responses and tissue lesions.

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“…ECoG signals collection system with invasive electrodes are more suitable for scientific research work, due to it has greater signal strength and less interference. However, the interface form of ECoG is more likely to cause some trauma to organisms [5,6], and its development is still in the embryonic stage [7].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of integrated high-speed wireless EEG/ECoG acquisition system

Zhang

Fan

et al. 2023

J. Inst.

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With the development and application of Brain-Computer Interface (BCI), the demand for the portability, transmission performance, sampling rate, and number of channels of electroencephalogram (EEG) acquisition devices is increasing. The high-performance acquisition devices used in current research are generally large in size which limit its application scenarios, while portable high-performance acquisition devices have a limited wireless transmission bandwidth. To tackle these issues, a high-performance multichannel wireless EEG acquisition system was designed, the acquisition device is powered independently by a battery, controls the bioelectric acquisition chip through FPGA (filed-programmable gate array) to achieve high-speed and stable processing of EEG data, and transmits it in real-time via Wi-Fi to the host computer for display and recording. Standard signal source tests and Electrocorticography (ECoG) acquisition experiments demonstrate that the system performed well with 64 channels and a maximum sampling rate of 30 kHz within a distance of 10 meters. This design provides a new solution for neuroscience research scenarios.

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Recent advances in wireless epicortical and intracortical neuronal recording systems

Cited by 16 publications

References 112 publications

Recent Progress in Long-Term Sleep Monitoring Technology

Recent Progress in Long-Term Sleep Monitoring Technology

A silk-based self-adaptive flexible opto-electro neural probe

Design and implementation of integrated high-speed wireless EEG/ECoG acquisition system

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