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儿童便携式身体成分分析仪的设计与开发

Design and Development of Portable Body Composition Analyzer for Children.

作者信息

Rashmi Richa, Umapathy Snekhalatha, Alhajlah Omar, Almutairi Fadiyah, Aslam Shabnam Mohamed

机构信息

Department of Biomedical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India.

Department of Quality Assurance Cell, ANIIMS, GB Pant Hospital, Sri Vijaya Puram 744103, India.

出版信息

Diagnostics (Basel). 2024 Nov 25;14(23):2658. doi: 10.3390/diagnostics14232658.

Abstract

OBJECTIVES

The aim of this study was (i) to design and develop a portable BCA device for measuring body composition parameters such as body weight, body fat (BF) %, total body water (TBW), fat-free mass (FFM), muscle mass (MM), and bone mass (BM); (ii) to validate the developed portable BCA with the Tanita MC 980 MA BCA device.

METHODS

For this current study, two hundred healthy and obese subjects, whose ages ranged from 8 to 12 years (8.4 ± 1.7), were considered.

RESULTS

The highest percentage difference between the two study groups was found to be in BFat (50.39%), followed by body mass index (BMI) (41.73 kg), FFM (38.32 kg), and MM (37.89 kg), and this was found to be statistically significant. The results obtained from the designed prototype of the body composition analyzer were validated using Tanita MC 980MA BCA. The overall error% was calculated as ±3% for measuring the different body composition parameters.

CONCLUSIONS

Due to its low standard error and high overall accuracy, the BCA prototype demonstrates the potential to be a dependable instrument for evaluating and tracking the body composition of children.

摘要

目的

本研究的目的是(i)设计并开发一种便携式生物电阻抗分析(BCA)设备,用于测量体重、体脂(BF)百分比、总体水(TBW)、去脂体重(FFM)、肌肉量(MM)和骨量(BM)等身体成分参数;(ii)用百利达MC 980 MA BCA设备验证所开发的便携式BCA。

方法

在本项研究中,纳入了200名年龄在8至12岁(8.4±1.7)的健康和肥胖受试者。

结果

发现两个研究组之间最高的百分比差异在于体脂(50.39%),其次是体重指数(BMI)(41.73 kg)、去脂体重(38.32 kg)和肌肉量(37.89 kg),且差异具有统计学意义。使用百利达MC 980MA BCA对所设计的身体成分分析仪原型获得的结果进行了验证。测量不同身体成分参数时的总体误差百分比计算为±3%。

结论

由于其低标准误差和高总体准确性,BCA原型显示出有潜力成为评估和跟踪儿童身体成分的可靠仪器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4340/11639819/0c40f19bda30/diagnostics-14-02658-g001.jpg

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