微型机与应用Issue(21)：72-74,3.
基于压缩感知的脑电信号重构研究
Research of EEG signal reconstruction based on compressive sensing
黄晓烨 1熊继平 1潘志勇 1黄骄龙 1何嫱君1
作者信息
- 1. 浙江师范大学 数理与信息工程学院，浙江金华 321004
- 折叠
摘要
Abstract
With careful analyses and processing, some characteristic parameters can be extracted for identifying different cerebral function states. EEG has been used in neurophysiology researches and clinical disease diagnosis widely. We design sparse of EEG signal based on discrete cosine terminal and use compressed sensing technology based on block sparse Bayesian to reconstruct the signal, concerned both temporal correlation in each individual biosignal and inter-channel correlation among biosignals from different channels. A large number of experimental results show that, there is greatly similar fidelity between the reconstructed EEG signal and the original signal, and it can be used for further processing of the medical.关键词
压缩感知/稀疏信号重构/块稀疏/相关性Key words
compressed sensing/sparse signal recovery/block sparse/correlation分类
信息技术与安全科学引用本文复制引用
黄晓烨,熊继平,潘志勇,黄骄龙,何嫱君..基于压缩感知的脑电信号重构研究[J].微型机与应用,2014,(21):72-74,3.
