AI Article Synopsis
- Localized tissue bioimpedance is being researched to help identify health-related physiological features and could be used in wearable systems for continuous monitoring.
- Evaluating measurement quality is crucial to minimize errors and data artifacts that could affect the analysis of bioimpedance data.
- Two artifact identification methods, based on thresholding and trend detection, were tested on localized knee bioimpedance data over a week, revealing very low percentages of identified threshold artifacts.
Article Abstract
Localized tissue bioimpedance is being widely investigated as a technique to identify physiological features in support of health focused applications. In support of this method being translated into wearable systems for continuous monitoring, it is critical to not only collect measurements but also evaluate their quality. This is necessary to reduce errors in equipment or measurement conditions from contributing data artifacts to datasets that will be analyzed. Two methods for artifact identification in resistance measurements of bioimpedance datasets are presented. These methods, based on thresholding and trend detection, are applied to localized knee bioimpedance datasets collected from two knee sites over 7 consecutive days in free-living conditions. Threshold artifacts were identified in 0.04% (longitudinal and transverse) and 0.69% (longitudinal) /3.50% (transverse) of the total data collected.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122868 | PMC |
| http://dx.doi.org/10.1016/j.ifacol.2021.10.231 | DOI Listing |
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