{"product_id":"biomedical-signal-acquisition-kit-ecg-emg-eeg-with-raspberry-pi","title":"Biomedical Signal Acquisition Kit: ECG, EMG, EEG with Raspberry Pi","description":"\u003ch1\u003eAcquire, Filter, and Classify ECG, EMG, and EEG Signals with Raspberry Pi\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Advanced\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 8-10 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 18-25\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Biomedical signal acquisition and classification\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eWhether 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.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eBy 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.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eBiopotential amplification with AD8232 and INA128 instrumentation amplifiers - handling common-mode rejection and gain selection\u003c\/li\u003e\n  \u003cli\u003eConfiguring the ADS1115 16-bit ADC for high-resolution, low-noise biosignal sampling at up to 860 SPS\u003c\/li\u003e\n  \u003cli\u003eImplementing digital notch and bandpass filters on a Raspberry Pi to remove 50 Hz mains interference and motion artifacts from ECG\/EMG\/EEG\u003c\/li\u003e\n  \u003cli\u003eApplying machine learning classifiers (e.g., SVM or logistic regression) to differentiate biosignal types in Python\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eAD8232 ECG Module\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eINA128 Amplifier\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eADS1115 ADC\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 4 4GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eSnap Electrodes\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eConductive Gel\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMicroSD Card 32GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C PSU\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eM-M Wires\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eThis 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.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery 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.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I acquire EEG signals with the provided snap electrodes and gel?\u003c\/summary\u003e\u003cp\u003eYes, 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.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eIs the signal quality sufficient for training a machine learning classifier?\u003c\/summary\u003e\u003cp\u003eAbsolutely. 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.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eAre there enough electrodes for multi-channel EMG and ECG simultaneously?\u003c\/summary\u003e\u003cp\u003eYes, 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.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eECG, EMG and EEG signal acquisition using AD8232 and INA128 instrumentation amplifiers - filter, sample and classify.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/ad8232-ecg-sensor-module-heart-rate-monitor-with-electrodes\"\u003eAD8232 ECG Module\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eINA128 Amplifier x2\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/ads1115-16-bit-i2c-adc-module-for-arduino-raspberry-pi\"\u003eADS1115 ADC\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/industrial-ph-sensor-module-for-arduino-esp32-raspberry-pi\"\u003eRaspberry Pi 4 4GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/9v-battery-snap-connector-with-15cm-wires-compoden\"\u003eSnap Electrodes\u003c\/a\u003e x20\u003c\/li\u003e\n    \u003cli\u003eConductive Gel\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/microsd-card-reader-spi-module-for-arduino\"\u003eMicroSD Card 32GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-4-official-power-supply-5v-3a-usb-c-compoden\"\u003eUSB-C PSU\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-M Wires x20\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the Research Lab Kit 6 Biomedical Signal Acquisition?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Research Lab Kit 6 Biomedical Signal Acquisition includes all components needed: AD8232 ECG Module, INA128 Amplifier, ADS1115 ADC, Raspberry Pi 4 4GB, Snap Electrodes and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the Research Lab Kit 6 Biomedical Signal Acquisition?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Advanced level makers, suitable for ages 18-25. ECG, EMG and EEG signal acquisition using AD8232 and INA128 instrumentation amplifiers - filter, sample and classify. Estimated build time is 8-10 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Research Lab Kit 6 Biomedical Signal Acquisition online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Research Lab Kit 6 Biomedical Signal Acquisition is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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