Novel bioparameters derived from bioimpedance measurements for accurate prediction of weight status in infant–juvenile individuals: A regression analysis Cover

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Novel bioparameters derived from bioimpedance measurements for accurate prediction of weight status in infant–juvenile individuals: A regression analysis

Journal of Electrical Bioimpedance

Volume 16 (2025): Issue 1 (January 2025)

By: Taira Batista Luna, Jose Luis García Bello, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria and Yohandys A. Zulueta

Open Access

|May 2025

Authors

Taira Batista Luna

tbatista12@uasd.edu.do

Autonomous University of Santo Domingo (UASD), UASD Nagua Center, Dominican Republic

Jose Luis García Bello

Autonomous University of Santo Domingo (UASD), Dominican Republic

Alcibíades Lara Lafargue

National Center for Applied Electromagnetism (CNEA), Santiago de Cuba, Cuba

Héctor Manuel Camué Ciria

Departamento de Física, Facultad de Ciencias Naturales y Exactas, Universidad de Oriente, Santiago de Cuba, Cuba

Yohandys A. Zulueta

yzulueta@uo.edu.cu

Departamento de Física, Facultad de Ciencias Naturales y Exactas, Universidad de Oriente, Santiago de Cuba, Cuba

DOI: https://doi.org/10.2478/joeb-2025-0009 | Journal eISSN: 1891-5469

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Language: English

Page range: 62 - 68

Submitted on: Apr 14, 2025

Published on: May 26, 2025

Published by: University of Oslo

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

biomedical parameters,

body mass index,

machine learning,

Related subjects:

Bioengineering and biomedical engineering,

Biomedical electronics,

Biomedical engineering,

Spectroscopy and metrology

© 2025 Taira Batista Luna, Jose Luis García Bello, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.

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