Overview of research and practice progress in body composition measurement techniques.

IF 4.6 Q3 ENGINEERING, BIOMEDICAL
Frontiers in medical technology Pub Date : 2026-08-28 eCollection Date: 2026-01-01 DOI:10.3389/fmedt.2026.1789046
Wenjuan Jing, Wenrong Jing, Shili Luo, Yinhong Chen, Qinghuan Guo, Juan Yang
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引用次数: 0

Abstract

The measurement of body composition is one of the most important tools for evaluating an individual's health and nutritional status. Its field has developed rapidly in recent years due to technological advances and growing application needs. Currently, widely used measurement methods include dual-energy x-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA), Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and smartphone software based on Computer Vision (CV) and Artificial Intelligence (AI). Each method has its own advantages in terms of accuracy and convenience. However, these techniques still face problems related to measurement reliability and applicability across different populations. The purpose of this paper is to provide a comprehensive overview of the technologies, target populations, and research fields related to body composition measurement. Body composition measurement is an important part of health management, non-communicable disease management, clinical medicine, and sports and physical training. Along with new scientific advances, this article also presents potential future research directions in body composition measurement.

体成分测量技术的研究与实践进展综述。
身体成分的测量是评估个人健康和营养状况最重要的工具之一。近年来,由于技术的进步和日益增长的应用需求,该领域发展迅速。目前,广泛使用的测量方法包括双能x射线吸收仪(DXA)、生物电阻抗分析(BIA)、磁共振成像(MRI)、计算机断层扫描(CT)以及基于计算机视觉(CV)和人工智能(AI)的智能手机软件。每种方法在准确性和方便性方面都有自己的优点。然而,这些技术仍然面临着测量可靠性和在不同人群中的适用性的问题。本文的目的是提供一个全面的概述技术,目标人群和研究领域的身体成分测量。身体成分测量是健康管理、非传染性疾病管理、临床医学以及运动和体育训练的重要组成部分。随着新的科学进展,本文还提出了人体成分测量未来可能的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
0.00%
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审稿时长
13 weeks
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