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生物阻抗分析在疾病临床状态监测与诊断中的理论与基本原理。

The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.

作者信息

Khalil Sami F, Mohktar Mas S, Ibrahim Fatimah

机构信息

Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.

出版信息

Sensors (Basel). 2014 Jun 19;14(6):10895-928. doi: 10.3390/s140610895.

DOI:10.3390/s140610895
PMID:24949644
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4118362/
Abstract

Bioimpedance analysis is a noninvasive, low cost and a commonly used approach for body composition measurements and assessment of clinical condition. There are a variety of methods applied for interpretation of measured bioimpedance data and a wide range of utilizations of bioimpedance in body composition estimation and evaluation of clinical status. This paper reviews the main concepts of bioimpedance measurement techniques including the frequency based, the allocation based, bioimpedance vector analysis and the real time bioimpedance analysis systems. Commonly used prediction equations for body composition assessment and influence of anthropometric measurements, gender, ethnic groups, postures, measurements protocols and electrode artifacts in estimated values are also discussed. In addition, this paper also contributes to the deliberations of bioimpedance analysis assessment of abnormal loss in lean body mass and unbalanced shift in body fluids and to the summary of diagnostic usage in different kinds of conditions such as cardiac, pulmonary, renal, and neural and infection diseases.

摘要

生物电阻抗分析是一种用于身体成分测量和临床状况评估的非侵入性、低成本且常用的方法。有多种方法可用于解释测量的生物电阻抗数据,并且生物电阻抗在身体成分估计和临床状态评估中有广泛的应用。本文综述了生物电阻抗测量技术的主要概念,包括基于频率的、基于分布的、生物电阻抗矢量分析和实时生物电阻抗分析系统。还讨论了用于身体成分评估的常用预测方程,以及人体测量、性别、种族、姿势、测量方案和电极伪影对估计值的影响。此外,本文还探讨了生物电阻抗分析在评估瘦体重异常丢失和体液不平衡转移方面的作用,并总结了其在心脏、肺、肾、神经和感染性疾病等不同病症中的诊断用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/c9647639fa9b/sensors-14-10895f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/7ef68669ce84/sensors-14-10895f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/717e10ec20cc/sensors-14-10895f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/8468ee75aec6/sensors-14-10895f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/138e5dccf535/sensors-14-10895f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/c9647639fa9b/sensors-14-10895f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/7ef68669ce84/sensors-14-10895f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/717e10ec20cc/sensors-14-10895f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/8468ee75aec6/sensors-14-10895f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/138e5dccf535/sensors-14-10895f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c6/4118362/c9647639fa9b/sensors-14-10895f5.jpg

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