Body Composition Analyzer SoC Solution

Body Composition Analyzer SoC Solution

Bio-impedance analysis (BIA) for accurate body fat, muscle mass, and hydration measurement with integrated high-precision AFE and advanced algorithms

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Impedance Range
50Ω~1.5KΩ
Sleep Current
<1.5μA
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Accuracy
±1%
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BOM Reduction
35%

Solution Overview

Body composition analysis using bio-impedance analysis (BIA) technology provides comprehensive health metrics including body fat percentage, muscle mass, bone mass, and hydration levels. Our solution integrates high-precision impedance measurement AFE, multi-frequency excitation, and advanced body composition algorithms, enabling accurate and repeatable measurements for home and professional use.

Application Areas

  • Smart body composition scales
  • Professional fitness assessment devices
  • Medical body composition analyzers
  • Multi-parameter health monitoring platforms

Application Block Diagram

Application Block Diagram
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High Precision

24-bit Σ-Δ ADC with 1μV resolution, ENOB > 20 bits

Ultra-Low Power

Sleep current I_sleep < 1.5μA, extends battery life

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High Integration

Built-in LCD driver, VREF, temp sensor - simplifies design

Core Features & Benefits

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High-Precision BIA Measurement

24-bit ADC with integrated bio-impedance AFE enables ±1% impedance accuracy across 50Ω~1.5KΩ range, supporting multi-segment and multi-frequency analysis.

Ultra-Low Power Design

Sleep current <1.5μA, measurement current ~10mA. Supports 4×AAA batteries for 500+ measurements, ideal for smart scales.

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Highly Integrated SoC

Built-in BIA AFE, excitation signal generator, weight sensor interface, LCD driver, and temperature sensor reduce external components by 35%.

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Advanced Body Composition Algorithms

Comprehensive algorithm library for body fat %, muscle mass, bone mass, BMI, BMR, visceral fat, and hydration level calculation.

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Multi-User Support

Extended memory supports 8+ user profiles with automatic user recognition based on weight and impedance patterns.

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Smart Connectivity

Optional BLE/Wi-Fi connectivity for smartphone app integration, enabling trend tracking, goal setting, and cloud synchronization.

Recommended MCU Products

Select the optimal chip model based on your product requirements

BH66F2665

RECOMMENDED

Body Fat Measurement Flash MCU

📊 Key Specifications

VDD
2.2V~5.5V
ROM
16K×16
RAM
1024×8
EEPROM
1024×8
ADC
24bit x 6
Packages
QFN24 QFN32 LQFP48

Features

View Datasheet →

Ready to Start Your Design?

Request free samples and get access to complete reference designs, schematics, and technical support

Development Support & Resources

Comprehensive development resources to accelerate your time-to-market

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Reference Design

Complete body composition scale reference design with schematics and PCB

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SDK & Drivers

BIA AFE drivers, weight sensor interface, and sample code

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Algorithm Library

Body composition calculation algorithms (body fat, muscle, BMI, BMR, etc.)

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Development Tools

Programmer/debugger and configuration tools

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Technical Documentation

Datasheets, application notes, and BIA design guidelines

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Training & Webinars

Body composition analyzer design training and webinars

Need More Technical Support?

Our technical team is ready to provide professional consultation and customized solutions

Frequently Asked Questions

What body composition metrics can be measured?

Our solution supports comprehensive metrics including body fat %, muscle mass, bone mass, body water %, BMI, BMR, visceral fat level, and protein percentage.

What is the difference between single-frequency and multi-frequency BIA?

Single-frequency (50kHz) BIA is suitable for basic body composition analysis. Multi-frequency (5kHz~100kHz) BIA provides more accurate segmental analysis and can differentiate intracellular/extracellular water.

How many user profiles can be stored?

Our high-end MCU (BH67F2493) supports 8+ user profiles with automatic user recognition. The mid-range MCU (BH67F2476) supports 4 user profiles.

What is the typical measurement accuracy?

Impedance measurement accuracy is ±1% across 50Ω~1.5KΩ range. Body composition metrics accuracy depends on algorithm calibration, typically ±3-5% for body fat percentage.

Is smartphone connectivity supported?

Yes, our high-end MCU supports BLE/Wi-Fi connectivity for smartphone app integration, enabling trend tracking, goal setting, and cloud synchronization.

Can the solution support segmental BIA analysis?

Yes, our high-end MCU (BH67F2493) supports 8-electrode segmental BIA for separate analysis of arms, legs, and trunk.

Ready to Start Your Body Composition Analyzer Design?

Contact our technical team to get free samples, reference designs, and expert consultation