A survey on encoding and decoding technology of non-invasive brain-computer interface

Qiu, Shuang; ,; Yang, Banghua; Chen, Xiaogang; Wang, Yijun; Xu, Minpeng; Lyu, Baoliang; Gao, Xiaorong; He, Huiguang; ,; ,; ,; ,; ,; ,; ,

doi:10.11834/jig.230031

Journal of Image and Graphics

2023

DOI: 10.11834/jig.230031

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A survey on encoding and decoding technology of non-invasive brain-computer interface

Shuang Qiu,

Banghua Yang,

Xiaogang Chen

et al.

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A CMOS-Based 4-Bit Absolute-Value Detector for BCI Signal Feature Extraction

Yan

2023

HSET

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In recent years, the integrated circuit industry has developed rapidly. Since the advent of the first computer, the performance of chips has increased exponentially while the size and power consumption have also decreased. Today, a high-performance chip is much smaller than a card. The increase in computing power also means that there are more possibilities in the field of computing and simulation. Many disciplines have also made new breakthroughs due to the improvement of computing power. Brain-computer interfaces and technologies such as rehabilitation medicine and virtual reality based on it are very promising technologies that allow the brain to interact directly with external devices. However, the signals of the human brain are very complex, and the brain-computer interface, as a signal relay station between the human brain and external devices, requires very powerful data processing capabilities. This article will first introduce the brain-computer interface technology and the method of processing the signals in it, and then propose an efficient absolute-value detector circuit design to achieve a very important step in signal processing.

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A CMOS-Based 4-Bit Absolute-Value Detector for BCI Signal Feature Extraction

Yan

2023

HSET

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A survey on encoding and decoding technology of non-invasive brain-computer interface

Cited by 1 publication

References 177 publications

A CMOS-Based 4-Bit Absolute-Value Detector for BCI Signal Feature Extraction

A CMOS-Based 4-Bit Absolute-Value Detector for BCI Signal Feature Extraction

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