Continuous Glucose Trend Monitor Variant 21 Kit with Arduino Nano + LED
Non-Invasive Glucose Trend Monitor Kit with Arduino Nano & MAX30102
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Using a MAX30102 optical sensor and custom signal processing, you'll build a wrist-worn device that captures photoplethysmography (PPG) data and estimates glucose trends—a proof-of-concept for non-invasive metabolic monitoring. Ideal for engineering students exploring health IoT, biomedical instrumentation, and wearable technology.
What You'll Build
You'll assemble a wearable monitor that continuously reads PPG signals from your wrist, processes optical features, and displays estimated glucose trend on an OLED screen, while logging data to a microSD card with precise timestamps. This is a prototype for non-invasive glucose monitoring, giving you hands-on experience with optical biosensing and embedded data logging.
What You'll Learn
- Acquire and interpret PPG signals from the MAX30102 sensor
- Implement signal filtering and feature extraction for glucose trend estimation
- Integrate real-time clock (DS3231) for accurate data timestamping
- Log high-resolution biomedical data to microSD and visualize trends on OLED
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Nano | 1 |
| MAX30102 | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Capacitors | 10 |
| 3.7V LiPo 500mAh | 1 |
| TP4056 Module | 1 |
| PCB Prototype Board | 2 |
| Velcro Wristband | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
B.Tech ECE/EEE/Biomedical students working on health-monitoring projects, Smart India Hackathon participants developing wearable health solutions, and advanced makers building non-invasive biosensing prototypes. If you're in a college lab or ATL Tinkering Lab exploring optical-based glucose sensing, this kit gives you a structured starting point.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code to access the AI companion trained on this exact kit, or message us on WhatsApp for direct support from our team.
What is the accuracy of this glucose trend monitor?
This kit demonstrates a proof-of-concept for optical glucose trend estimation using PPG features. It is not a medical device; accuracy varies and is intended for educational research, not clinical diagnosis.
Can I use this kit for clinical diabetes monitoring?
No, this is a learning tool to understand the principles of non-invasive optical sensing. It is not approved or intended for medical diagnostics.
What software libraries and example code are included?
The AI companion guides you through Arduino Nano programming with MAX30102 libraries, signal filtering code, and data logging routines. You'll learn to customize signal processing algorithms.
MAX30102 optical sensor with custom wavelength combination estimates glucose trend from wrist PPG features.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items