Continuous Glucose Monitor (CGM) System Solution

Continuous Glucose Monitor (CGM) System Solution

High-performance solution for 24/7 glucose monitoring. Combines clinical-grade 24-bit sensing with robust wireless connectivity for reliable data transfer. Features ultra-low power operation for 7-14 day wear, secure encryption, and on-chip trend analysis for next-gen wearables.

Solution Overview

Continuous Glucose Monitoring (CGM) systems are revolutionizing diabetes care by providing critical real-time insights that intermittent finger-prick testing cannot match. To meet the rigorous demands of next-generation medical wearables, our solution adopts an advanced Dual-Chip Architecture that separates precise bio-sensing from powerful wireless processing. At the heart of the system is a dedicated AFE MCU (BH66F2455), engineered specifically for electrochemical glucose sensors. It features a 24-bit ADC and hardware-based auto-conversion to deliver clinical-grade signal integrity with minimal noise. This sensor data is then processed by our High-Performance Wireless SoC (HT32F67593), which leverages a powerful 32-bit core and robust RF capabilities (+10dBm) to ensure secure, long-range data transmission. By optimizing the synergy between precision sensing and robust connectivity, our solution enables manufacturers to build ultra-compact, reliable, and long-lasting CGM devices that empower patients with accurate, 24/7 health visibility.

Application Areas

  • Wearable continuous glucose monitors
  • Real-time diabetes management systems
  • Implantable glucose sensors
  • Smart insulin pump integration

Application Block Diagram

Continuous Glucose Monitor Application Block Diagram
🎯

High Precision

24-bit Σ-Δ ADC with Hardware Auto-Conversion for low-noise measurement.

Ultra-Low Power

AFE Bias Standby current of just 3.7μA, maximizing sensor runtime.

🔧

High Integration

Built-in 3×Op-Amps, 3×DACs & VREF drastically reduce external BOM.

Core Features & Benefits

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Real-Time Monitoring

Utilizes a dedicated 24-bit AFE MCU with hardware auto-conversion and support for 2/3/4-electrode sensors, ensuring precise, low-noise glucose readings every 1-5 minutes.

Ultra-Low Power

Optimized System Efficiency Features an AFE Bias Standby current of just 3.7μA. The optimized dual-chip power management enables 14+ days of continuous operation on a single coin cell battery.

📡

Wireless Connectivity

Robust Data Transmission High-performance wireless SoC with +10dBm output power ensures stable, long-range connectivity to smartphones, effectively overcoming signal blockage from clothing.

🔧

High Integration

Reduced BOM Cost The AFE MCU integrates 3 Op-Amps, 3 DACs, and a Voltage Reference, significantly reducing external analog components and simplifying the PCB layout.

📊

Advanced Algorithms

On-Device Intelligence Powerful 32-bit core with 1MB Flash memory enables complex on-chip processing, including factory calibration, trend analysis, and predictive alerts for hypo/hyperglycemia.

🛡️

Medical-Grade Reliability

Secure & Compliant Includes hardware AES-128 encryption and TRNG for patient data security, backed by excellent EMI/ESD performance to support FDA/CE medical device certification.

Recommended MCU Products

Select the optimal chip model based on your product requirements

BH66F2455

RECOMMENDED

Continuous Glucose Monitoring Flash MCU

📊 Key Specifications

VDD
2.2V~5.5V
Program Memory
8K×16
Data Memory
512×8
Data EEPROM
512×8
HIRC
4MHz
CTM
10-bit x 1
PTM
16-bit x 1
ADC
24bit x 2
Interface
SPI×1 UART×1
IO
9
Stack
16
OPA
3
Package
24QFN
AFE
CGM

Features

  • Power Efficiency & Flexibility
  • Precision Analog (CGM AFE)
  • System Reliability & Connectivity
View Datasheet →

HT32F67593

High-Performance 32-Bit Arm® Cortex®-M0+ BLE MCU

📊 Key Specifications

VDD
1.8V~3.6V
Program Memory
1024KB
Data Memory
128KB
Package
28LGA

Features

  • High-Performance Low-Power Core
  • Robust Wireless Connectivity
  • Rich Peripheral Integration
  • Optimized for Wearables
View Datasheet →

Development Support & Resources

Comprehensive development resources to accelerate your time-to-market

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Reference Design

Complete CGM reference design with schematics, PCB layout, and BOM.

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SDK & Drivers

BLE stack, AFE drivers, and sample code for rapid development.

🧮

Algorithm Library

Calibration algorithms, trend analysis, and alert algorithms.

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Development Tools

Dedicated programmer/debugger and configuration tools.

📚

Technical Documentation

Datasheets, application notes, and design guidelines.

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Training & Webinars

CGM design training and technical webinars.

Need More Technical Support?

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

Frequently Asked Questions

What is the typical sensor life for CGM devices?

Our solution is optimized for 7-14+ days of sensor life. The dedicated AFE MCU operates with a Bias Standby current of just 3.7μA, ensuring minimal energy consumption during the long idle periods between measurements to maximize battery life in compact designs.

Does the solution support smartphone connectivity?

Yes, our high-performance wireless SoC offers robust connectivity with +10dBm output power. This ensures reliable, long-range data synchronization with iOS and Android devices, even when the signal is obstructed by clothing or body mass.

What calibration is required for CGM devices?

The system supports both factory and user calibration. The 24-bit high-resolution ADC minimizes signal noise, while the wireless SoC's large memory allows for storing complex calibration tables and history data to improve accuracy over time.

Can the MCU support predictive alerts?

Yes. The wireless SoC is equipped with 1MB Flash and 128KB SRAM, providing ample processing power to run advanced on-device algorithms—such as trend analysis and predictive alerts—without relying solely on the smartphone app.

Is the solution compliant with medical device regulations?

Yes. In addition to medical-grade EMI/ESD reliability, our solution includes hardware AES-128 encryption to protect sensitive patient data, supporting compliance with data privacy regulations (like HIPAA/GDPR) alongside FDA/CE hardware standards.

What is the typical power consumption?

The AFE MCU features an ultra-low Bias Standby current of 3.7μA and an average measurement current of 4.8μA. Combined with the wireless SoC's efficient power management, the complete system is designed to support 14+ days of continuous operation on compact wearable batteries.