Portable wireless electrocorticography system with a flexible microelectrodes array for epilepsy treatment

Xie, Kejun; Zhang, Shaomin; Dong, Shurong; Li, Shijian; Yu, Chaonan; Xu, Kedi; Chen, Wanke; Guo, Wei; Luo, Jikui; Wu, Zhaohui

doi:10.1038/s41598-017-07823-3

Cited by 33 publications

(17 citation statements)

References 24 publications

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“…The ECoG sensor transferred the mouse’s electrocorticographic data to a smartphone via Bluetooth module. The ECoG sensor was capable of distinguishing the normal state and the epilepsy state by mapping the brain with 32 microelectrodes (Figure 8b) [141]. Chang et al developed a wireless ECoG system that transferred signals from ECoG sensors to a neck-mounted receiver using intra-skin communication, which uses the skin as a conductive pathway for wireless data transmission (Figure 8c,d) [171].…”

Section: Applications Of Wireless Sensorsmentioning

confidence: 99%

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Recent Progress in Wireless Sensors for Wearable Electronics

Park

2019

Sensors

116

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The development of wearable electronics has emphasized user-comfort, convenience, security, and improved medical functionality. Several previous research studies transformed various types of sensors into a wearable form to more closely monitor body signals and enable real-time, continuous sensing. In order to realize these wearable sensing platforms, it is essential to integrate wireless power supplies and data communication systems with the wearable sensors. This review article discusses recent progress in wireless technologies and various types of wearable sensors. Also, state-of-the-art research related to the application of wearable sensor systems with wireless functionality is discussed, including electronic skin, smart contact lenses, neural interfaces, and retinal prostheses. Current challenges and prospects of wireless sensor systems are discussed.

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Section: Applications Of Wireless Sensorsmentioning

confidence: 99%

“…( a ) Implanted flexible ECoG electrode. A photo of the flexible electrode array placed on the left hemisphere of the brain of a Sprague-Dawley rat (Reproduced under the terms of CC BY license [141]. Copyrights 2017, the authors, Springer Nature).…”

Section: Figurementioning

confidence: 99%

Recent Progress in Wireless Sensors for Wearable Electronics

Park

2019

Sensors

116

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“…The relative inflexibility of ECoG grids also limits their ability to image neuronal activity in the sulci of the brain, which may contain valuable information for decoding [114,115]. Research in this area is progressing steadily as researchers work to develop such flexible ECoG grids [116][117][118].…”

Section: Ecog Implantationmentioning

confidence: 99%

“…Nonetheless, a wireless ECoG system would drastically reduce the risk of infection by allowing the surgical wound to fully close and heal. This much-awaited advance is on the near horizon; multiple researchers are working towards developing such wireless ECoG systems [118,128,129]. However, the drawbacks of wireless systems must also be considered, such as the challenges of transferring large quantities of data wirelessly and doing so at sufficiently high speeds, as well as the issue of repairing such systems when they fail.…”

Section: Ecog Implantationmentioning

confidence: 99%

The Potential for a Speech Brain–Computer Interface Using Chronic Electrocorticography

2019

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A brain-computer interface (BCI) is a technology that uses neural features to restore or augment the capabilities of its user. A BCI for speech would enable communication in real time via neural correlates of attempted or imagined speech. Such a technology would potentially restore communication and improve quality of life for locked-in patients and other patients with severe communication disorders. There have been many recent developments in neural decoders, neural feature extraction, and brain recording modalities facilitating BCI for the control of prosthetics and in automatic speech recognition (ASR). Indeed, ASR and related fields have developed significantly over the past years, and many lend many insights into the requirements, goals, and strategies for speech BCI. Neural speech decoding is a comparatively new field but has shown much promise with recent studies demonstrating semantic, auditory, and articulatory decoding using electrocorticography (ECoG) and other neural recording modalities. Because the neural representations for speech and language are widely distributed over cortical regions spanning the frontal, parietal, and temporal lobes, the mesoscopic scale of population activity captured by ECoG surface electrode arrays may have distinct advantages for speech BCI, in contrast to the advantages of microelectrode arrays for upper-limb BCI. Nevertheless, there remain many challenges for the translation of speech BCIs to clinical populations. This review discusses and outlines the current stateof-the-art for speech BCI and explores what a speech BCI using chronic ECoG might entail.

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“…These wearables can implement complex electronic functionality thanks to the Silicon ICs, at the cost of a reduced comfort level for the user, due to the presence of many rigid parts. Examples of such IC-based wearables include ECG sensors with electrodes integrated into a cotton T-shirt 17 , cardiac sensors where a rigid IC is encapsulated in elastic layers 18,19 , stretchable "e-tattoos" for ECG and temperature monitoring 20 , and a portable electrocorticography (ECoG) system with flexible microelectrodes array 21 . Multimodal bio-signal acquisition has been demonstrated too, with stretchable sensors capable of monitoring several combinations of electroencephalograpgy (EEG), ECG, electromyography (EMG), electrooculography (EOG), and photoplethysmography (PPG) [22][23][24] .…”

Section: Introductionmentioning

confidence: 99%

A flexible ECG patch compatible with NFC RF communication

et al. 2020

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With the advent of the internet of things, flexible wearable devices are gaining significant research interest, as they are unobtrusive, comfortable to wear and can support continuous observation of physiological signals, helping to monitor wellness or diagnose diseases. Amorphous Indium Gallium Zinc Oxide (a-IGZO) Thin Film Transistors (TFTs) fabricated on flexible substrates are an attractive option to build such bio-signal monitoring systems due to their flexibility, conformability to the human body, and low cost. This paper presents a flexible electrocardiogram (ECG) patch implemented on foil with self-aligned IGZO TFTs, which is capable to acquire the ECG signals, amplify them and convert them to a sequence of bits. The analogue frontend has a measured input-referred noise of 8 μV rms in the 1-100 Hz band. The system achieves experimentally 67.4 dB CMRR, 58.9 dB PSRR, and 16.5 MΩ input impedance at 50 Hz while using 1 kHz chopping. The signal from the electrodes is transformed to a 105.9-kb/s Manchesterencoded serial bit stream which could be sent wirelessly to a smart phone via Near Field Communication (NFC) for further elaboration. Power consumption is 15.4 mW for the digital and 280 μW for the analogue part. This contribution shows the fundamental steps to demonstrate intelligent plasters for biomedical applications based on flexible electronics providing an NFC-compatible digital output bit stream.

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Portable wireless electrocorticography system with a flexible microelectrodes array for epilepsy treatment

Cited by 33 publications

References 24 publications

Recent Progress in Wireless Sensors for Wearable Electronics

Recent Progress in Wireless Sensors for Wearable Electronics

The Potential for a Speech Brain–Computer Interface Using Chronic Electrocorticography

A flexible ECG patch compatible with NFC RF communication

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