Article ; Online: Validation of Non-empirical Fat-free Mass Estimation Model for a Wrist-worn Device.
Journal of electrical bioimpedance
2022 Volume 13, Issue 1, Page(s) 31–38
Abstract: Fat-free mass (FFM) estimation has dramatic importance for body composition evaluation, often providing a basis for treatment of obesity and muscular dystrophy. However, current methods of FFM estimation have several drawbacks, usually related to either ... ...
Abstract | Fat-free mass (FFM) estimation has dramatic importance for body composition evaluation, often providing a basis for treatment of obesity and muscular dystrophy. However, current methods of FFM estimation have several drawbacks, usually related to either cost-effectiveness and equipment size (dual-energy X-ray absorptiometry (DEXA) scan) or model limitations. In this study, we present and validate a new FFM estimation model based on hand-to-hand bioimpedance analysis (BIA) and arm volume. Forty-two participants underwent a full-body DEXA scan, a series of anthropometric measurements, and upper-body BIA measurements with the custom-designed wearable wrist-worn impedance meter. A new two truncated cones (TTC) model was trained on DEXA data and achieved the best performance metrics of 0.886 ± 0.051 r |
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Language | English |
Publishing date | 2022-06-25 |
Publishing country | Poland |
Document type | Journal Article |
ZDB-ID | 2580506-X |
ISSN | 1891-5469 ; 1891-5469 |
ISSN (online) | 1891-5469 |
ISSN | 1891-5469 |
DOI | 10.2478/joeb-2022-0006 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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