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

Translated title of the contribution: Acquisition Technology of Multimodality Neurophysiological Signals Based on Asynchronous Chip

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Translated title of the contributionAcquisition Technology of Multimodality Neurophysiological Signals Based on Asynchronous Chip
Original languageChinese (Traditional)
Pages (from-to)848-859
Number of pages12
JournalShuju Caiji Yu Chuli/Journal of Data Acquisition and Processing
Volume37
Issue number4
DOIs
Publication statusPublished - Jul 2022

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