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生物医学工程评论综述™

每年出版 6 

ISSN 打印: 0278-940X

ISSN 在线: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

Indexed in

Introduction: A Critical Need for Biosignal Interpretation

卷 30, 册 1-3, 2002, pp. 1-7
DOI: 10.1615/CritRevBiomedEng.v30.i123.10
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摘要

Biosignal interpretation (BSI) methods can be used to integrate information from different physiological signals and patient-state variables both to enable decision making regarding patient status and therapeutic actions and to improve the monitoring of patients and their organ systems. Although BSI research has yielded promising results over the last decade, the number of BSI algorithms implemented in commercially available systems and used routinely in clinical practice remains limited. This is probably due to limits in our understanding of the related clinical problems and our knowledge about the strengths and weaknesses of various BSI methods and tools. We have to continually repeat the cycle of analysis, planning, execution, and evaluation to develop an understanding of the right BSI algorithm for the right clinical problem that can be embedded in a commercial monitoring system. Advancing from the present, more descriptive stage to such formal knowledge and understanding requires time and learning.

对本文的引用
  1. Malberg Hagen, Wolf Werner, Technological innovations in information engineering demand sustained updating and upgrading in biosignal processing applications: a continual renaissance, Biomedizinische Technik/Biomedical Engineering, 52, 1, 2007. Crossref

  2. Cerutti S., In the Spotlight: Biomedical Signal Processing — A Well Established Discipline or a Paradigm to Promising Integrated Visions?, IEEE Reviews in Biomedical Engineering, 2, 2009. Crossref

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