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Tremor Detection Band Kit with Arduino Nano + MPU6050
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Tremor Detection Band Kit with Arduino Nano + MPU6050

SKU: CDN-KIT-0717-CL Brand: Compoden Category: Electronics > Wearables & Health > Project Kits
Rs. 1,820.00
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Tremor Detection Wearable Band Kit with Arduino Nano & MPU6050 – Log Wrist Tremors via FFT

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Difficulty: Intermediate Build Time: 3-4 hours Age: 15-18 years Skill: Biomedical signal capture & FFT analysis

Imagine wearing a lightweight band on your wrist that continuously monitors acceleration and flags abnormal tremor patterns—exactly the kind of biomedical device clinicians use for early motor disorder diagnosis. This kit lets you prototype that exact instrument, giving you hands-on experience with high-frequency sensor data and digital signal processing in a compact, wearable form factor. You will sample MPU6050 readings at 200 Hz, run an on-board Fast Fourier Transform (FFT) to isolate tremor frequencies, and log timestamped events to a microSD card for analysis.

What You'll Build

You'll assemble a wrist-worn prototype on a breadboard using an Arduino Nano, MPU6050 accelerometer/gyroscope, and a 0.96-inch OLED display that shows real-time tremor status. A DS3231 RTC stamps each event with an accurate time, while the microSD module stores full data logs. By the end, you'll have a functional health-monitoring wearable that can reliably distinguish between intentional hand movement and involuntary tremors, ready for demonstration at science fairs or health hackathons.

What You'll Learn

  • Sampling 200 Hz accelerometer data from MPU6050 with Arduino Nano
  • Implementing Fast Fourier Transform (FFT) to extract frequency components in real time
  • Interfacing multiple I2C peripherals—MPU6050, OLED, and RTC—on the same bus without conflict
  • Logging time-series health data to microSD with reliable error handling and battery power

Kit Contents

Component Quantity
Arduino Nano 1
MPU6050 1
DS3231 RTC 1
MicroSD Module 1
0.96in OLED 1
4.7kΩ Resistors 5
100nF Capacitors 5
400-pt Breadboard 1
M-M Wires 20
9V Battery Snap 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

This kit is purpose-built for Indian students working at the intersection of electronics and healthcare. CBSE Class 11-12 learners can turn it into a standout biology-electronics integrated project for school exhibitions. B.Tech ECE/EEE undergraduates will find it ideal for a biomedical mini-project or a Smart India Hackathon health-themed prototype. ATL Tinkering Labs and IIT/NIT/VIT/BITS innovation clubs can use it to explore wearable health tech on a breadboard-first approach.

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 launch the AI companion that understands this exact kit. You can also reach us directly on WhatsApp for real-time troubleshooting.

Can I record tremor data for days without connecting to a computer?

Yes. The kit runs on a 9V battery, logs every tremor event with an RTC timestamp, and stores it to the microSD card. You can walk around freely while it captures data continuously.

Does this kit include a wrist band or enclosure?

No, the prototype is built on a breadboard for full visibility and learning. You can easily fasten it to a Velcro strap or 3D-print a case to simulate a real wearable band.

Will I need prior DSP knowledge to implement the FFT?

Not at all. The AI companion provides a pre-tested Arduino sketch with an FFT library and explains every line. You'll understand the concept through building, not just theory.

MPU6050 measures wrist acceleration at 200Hz. FFT identifies tremor frequency band and logs events.

What's in this kit

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

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