Design and Development of Portable Body Composition Analyzer for Children.

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

Abstract read

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Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

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

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

Omar AlhajlahDepartment of Applied Computer Sciences, Applied Computer Science College, King Saud University, Riyadh 11451, Saudi Arabia.

Fadiyah AlmutairiDepartment of Information System, College of Computer and Information Sciences (CCIS), Majmaah University, Al Majmaah 11952, Saudi Arabia.

Shabnam Mohamed AslamDepartment of Information Technology, College of Computer and Information Sciences (CCIS), Majmaah University, Al Majmaah 11952, Saudi Arabia.ORCID 0000-0001-9015-7551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 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.

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

resultsThe 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.

conclusionsDue 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.

Indexed as

bioelectrical impedance analysisbody composition analyzerbody mass indexchildhood obesityfat free mass

Identifiers

PMID39682566

DOI10.3390/diagnostics14232658

PMCPMC11639819

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