Biomedical Signal Acquisition Kit: ECG, EMG, EEG with Raspberry Pi
Acquire, Filter, and Classify ECG, EMG, and EEG Signals with Raspberry Pi
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Whether you're preparing a final-year biomedical project, prototyping a wearable health monitor for the Smart India Hackathon, or building a research lab setup for biosignal analysis, this kit puts a complete 3-channel acquisition system in your hands. You'll connect precision instrumentation amplifiers to a 16-bit ADC, stream real-time data to a Raspberry Pi, filter out noise, and run classification algorithms - all with components that talk to each other flawlessly.
What You'll Build
By the end of this build, you'll have a functional biomedical signal acquisition system that captures real-time ECG, EMG, and EEG data, filters it using instrumentation amplifiers, and classifies signal patterns on a Raspberry Pi. You can display waveforms, log raw data to the SD card, and even train a simple classifier to distinguish muscle activity from cardiac rhythms - the exact pipeline used in diagnostic wearables and research prototypes.
What You'll Learn
- Biopotential amplification with AD8232 and INA128 instrumentation amplifiers - handling common-mode rejection and gain selection
- Configuring the ADS1115 16-bit ADC for high-resolution, low-noise biosignal sampling at up to 860 SPS
- Implementing digital notch and bandpass filters on a Raspberry Pi to remove 50 Hz mains interference and motion artifacts from ECG/EMG/EEG
- Applying machine learning classifiers (e.g., SVM or logistic regression) to differentiate biosignal types in Python
Kit Contents
| Component | Quantity |
|---|---|
| AD8232 ECG Module | 1 |
| INA128 Amplifier | 2 |
| ADS1115 ADC | 1 |
| Raspberry Pi 4 4GB | 1 |
| Snap Electrodes | 20 |
| Conductive Gel | 1 |
| MicroSD Card 32GB | 1 |
| USB-C PSU | 1 |
| M-M Wires | 20 |
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 built for final-year B.Tech ECE and Biomedical Engineering students executing capstone projects, research interns at IITs/NITs/VIT/BITS working on biosignal analysis, and Smart India Hackathon teams tackling healthcare prototypes. It assumes prior experience with Raspberry Pi and basic signal processing; if you're comfortable with Python and breadboarding, you're ready to go from electrodes to classification in a weekend.
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?
The AI build companion will diagnose issues step by step using project-specific knowledge, and you can always send a WhatsApp message to our support team for human backup within hours.
Can I acquire EEG signals with the provided snap electrodes and gel?
Yes, the snap electrodes and conductive gel are suitable for scalp EEG with proper skin preparation. For advanced research requiring gold cup electrodes, this kit gives you a verified starting point and the same signal chain.
Is the signal quality sufficient for training a machine learning classifier?
Absolutely. The ADS1115's 16-bit resolution and INA128's low noise floor deliver research-grade fidelity. Many students have successfully trained SVM and neural network classifiers on data acquired with this exact setup.
Are there enough electrodes for multi-channel EMG and ECG simultaneously?
Yes, the 20 snap electrodes allow simultaneous recording from multiple muscle groups and the chest, leaving spares for reference and ground. You can run 3-channel acquisitions without needing extra parts.
ECG, EMG and EEG signal acquisition using AD8232 and INA128 instrumentation amplifiers - filter, sample and classify.
What's in this kit
- AD8232 ECG Module
- INA128 Amplifier x2
- ADS1115 ADC
- Raspberry Pi 4 4GB
- Snap Electrodes x20
- Conductive Gel
- MicroSD Card 32GB
- USB-C PSU
- M-M Wires x20
Ask Soldr above what you can build with this — it knows every Compoden kit this part appears in.
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