基于Nuttall自卷积窗FFT算法的生物电阻抗谱多频率同步测量方法

doi:10.3724/SP.J.1146.2013.00348

摘要
图/表
参考文献
相关文章 (0)

全文: PDF (259 KB)
输出: BibTeX | EndNote (RIS)

摘要传统的扫频式生物电阻抗频谱(BIS)测量法难以准确反映生物体真实的阻抗信息，开发BIS的多频率同时快速测量方法具有重要意义。该文提出一种基于多频率同步(MFS)信号激励和加窗改进FFT算法的BIS多频率同步快速测量方法。该文首先介绍了一种7频率同步信号的合成及其频谱特性，提出了性能优良的Nuttall自卷积窗函数，并构建了基于Nuttall自卷积窗的改进插值FFT谐波分析算法，从而在理论上论证了BIS多频率同步快速测量的可行性，为下一步开发实际的BIS快速测量系统提供了技术支持。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	杨宇祥
	张甫
	乔洋
	张雯
	温和
	唐求

关键词 ：生物电阻抗谱, 多频率同步信号, Nuttall自卷积窗, 加窗插值FFT算法

Abstract：Since the traditional frequency-sweeping based Bio-Impedance Spectroscopy (BIS) measurement method can not reflect accurately the true impedance of organism, the development of multi-frequency simultaneous fast measurement method of BIS has significance. A BIS Multi-Frequency Synchronized (MFS) measurement method is proposed based on MFS signal excitation and a windowed FFT algorithm. First, the synthesis of a seven-frequency synchronized signal, as well as its spectral characteristic, is introduced. Then, a Nuttall self-convolution window function with excellent performance is put forward, and the improved interpolation FFT-based harmonic analysis algorithm based on this window is built. It validates theoretically the feasibility of the proposed BIS Multi- Frequency Synchronized fast measurement method, and provides technical support for development of practical BIS fast measurement systems.

Key words： Bio-Impedance Spectroscopy (BIS) Multi-Frequency Synchronized (MFS) signal Nuttall self- convolution window Windowed interpolation FFT algorithm

收稿日期: 2013-03-18

PACS:	TM938.84
	R318.03

基金资助:

国家自然科学基金(61273271, 30900317)，中国博士后科学基金(20110491674)和陕西省教育厅科学研究计划(12JK0527)资助课题

通讯作者: 杨宇祥 E-mail: yangyuxiang@xaut.edu.cn

引用本文:

杨宇祥, 张甫, 乔洋, 张雯, 温和, 唐求. 基于Nuttall自卷积窗FFT算法的生物电阻抗谱多频率同步测量方法[J]. 电子与信息学报, 2014, 36(1): 250-254. Yang Yu-Xiang, Zhang Fu, Qiao Yang, Zhang Wen, Wen He, Tang Qiu. Multi-frequency Synchronized Measurement Method of Bioimpedance Spectroscopy Based on Nuttall Self-convolution Windowed FFT Algorithm. , 2014, 36(1): 250-254.

链接本文:

http://jeit.ie.ac.cn/CN/10.3724/SP.J.1146.2013.00348 或 http://jeit.ie.ac.cn/CN/Y2014/V36/I1/250