# ASFmeter: A Portable A-Mode Ultrasound Device for Abdominal Subcutaneous Fat Thickness Measurement

**Authors:** Hongyang Zhao, Ran Liu, Guangfei Li, Zhou Zhang, Yanxin Wang, Man Ji, Lin Yang, Dongmei Hao

PMC · DOI: 10.3390/bioengineering12060567 · Bioengineering · 2025-05-26

## TL;DR

The paper introduces a portable and low-cost A-mode ultrasound device called ASFmeter for measuring abdominal fat thickness, which is a key indicator of obesity.

## Contribution

The novel contribution is the development and validation of a portable A-mode ultrasound device for accurate and accessible abdominal fat measurement.

## Key findings

- The ASFmeter showed strong agreement with conventional B-mode ultrasound (R2 = 0.94, SEE = 1.72 mm).
- Significant variations in abdominal fat thickness were observed across different BMI groups.
- The device is portable, cost-effective, and suitable for home-based health monitoring.

## Abstract

Background: Obesity is a global health concern linked to an elevated risk of chronic diseases. Abdominal subcutaneous fat (ASF) thickness serves as a key indicator for obesity assessment; however, existing measurement methods often lack simplicity and accessibility. Methods: We developed the ASFmeter, a portable, low-cost A-mode ultrasound device designed for rapid ASF thickness measurement. Forty participants underwent ASF thickness assessment using both the ASFmeter and a conventional B-mode ultrasound system, demonstrating strong agreement (R2 = 0.94, SEE = 1.72 mm). Statistical analyses evaluated correlations between ASF thickness and body weight, abdominal circumference, and body mass index (BMI). Results: the ASFmeter exhibited high consistency with B-mode ultrasound measurements, confirming its accuracy. Significant variations in ASF thickness were observed across BMI groups, supporting its utility as a reliable obesity indicator. Conclusions: the ASFmeter offers a user-friendly, portable, and cost-effective solution for ASF measurement, facilitating personal health monitoring and obesity-related risk assessment. This innovation holds promise for widespread application in home-based health management.

## Linked entities

- **Diseases:** obesity (MONDO:0011122)

## Full-text entities

- **Diseases:** Obesity (MESH:D009765)

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12189322/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12189322/full.md

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Source: https://tomesphere.com/paper/PMC12189322