基 于 异 步 芯 片 的 多 模 态 神 经 生 理 信 号 采 集 技 术

Lixian Zhu, Fuze Tian, Qunxi Dong, Qinglin Zhao, Anping He, Weihao Zheng, Bin Hu*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

Most of psychophysiological computing(PPC)studies are under the experimental environments of synchronization theory hypothesis, however neurophysiological representations have asynchronous properties,which cannot be precisely and effectively described in real time using synchronized recording technology. It is being the first issue of PPC to resolve how to recode these asynchronous multi-modality neurophysiological activities with low-power,low-redundancy,real-time and accurate. For this issue,this study focuses on the goals of microscopic neurophysiological activities and macroscopic psychological variables, resolves the design challenges of asynchronous multimodality physiological information recording scheme and corresponding passive physiological signals sensing technology,and designs and develops the first asynchronous physiological process unit(PPU). The PPU has the characteristics of low power consumption,high time series precision,high computing performance and strong anti-interference ability. Finally,we look forward to the future of PPU applied in the research area of brain science and brain-like computing.

投稿的翻译标题Acquisition Technology of Multimodality Neurophysiological Signals Based on Asynchronous Chip
源语言繁体中文
页(从-至)848-859
页数12
期刊Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing
37
4
DOI
出版状态已出版 - 7月 2022

关键词

  • asynchronous multimodality
  • asynchronous physiological process unit
  • passive physiological signal sensors
  • psychophysiological computing

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