期刊文献+

基于流水线结构的脉搏信号小波去噪硬件实现

Hardware Implementation of Wavelet Denoising for Pulse Signal Based on Pipeline Architecture
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摘要 脉搏波信号采集过程中存在肌电干扰和基线漂移等噪声,引起脉搏信号的不正常波动。如何能去除脉搏波信号中的噪声,得到原始的脉搏信号,为后续处理提供基础,是个十分重要的问题。本文设计了一种在脉搏监测系统中基于小波理论用于去噪的电路设计。该电路采用九级流水线结构,能够对脉搏信号进行实时处理。理论分析和逻辑电路仿真结果表明,本文所提出的电路能够有效地去除脉搏信号中信号频谱内的噪声. During the acquisition process of the pulse wave signal, abnormal fluctuation caused by EMG interference and baseline drift. It' s a serious problem to remove the noise, get original pulse signal and provide a basis for subsequent treatment. In this paper, a wavelet denoising circuit is presented for pulse signal. This 9-stage pipeline architecture is applied in this design and capable of real-time pulse signal processing. Theoretical analysis and logic design simulation results show that the proposed circuit can effectively remove the pulse signal noise within the signal spectrum.
出处 《中国集成电路》 2013年第9期17-22,40,共7页 China lntegrated Circuit
关键词 脉搏波信号 小波去噪 流水线结构 pulse wave single wavelet denoising pipeline structure
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