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  • 标题:Initial Study on Implementation of Smoothing Filters for the Purpose of Bioimpedance Spectroscopy Parameters Classification
  • 本地全文:下载
  • 作者:Aleksandra Kawala-Sterniuk ; Amir F. Al-Bakri ; Mariusz Pelc
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:4
  • 页码:393-398
  • DOI:10.1016/j.ifacol.2022.06.065
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractBioimpedance is a commonly used method for various conditions monitoring. In this paper, the authors carried out some research where they implemented various smoothing filters to enable identification of the bioimpedance spectroscopy parameters. The proposed filtering methods may also be used for application on embedded systems, which have smaller computing power but have become recently very popular. The obtained results with the implementation of smoothing filters were promising, however, some of the obtained results were unsatisfactory. This work also contains a brief introduction to bioimpedance spectroscopy and smoothing filters.
  • 关键词:KeywordsBioimpedance Spectroscopysmoothing-filteringSavitzky-Golay FilterMedian FilteringMoving-Average Filters
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