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Blockchain-Integrated Bio-Digital Twin Framework for Continuous Multi-Physiological Monitoring

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Original price was: ₹11,678.Current price is: ₹7,599.

This project develops a bio-digital twin system that mirrors a patient’s physiological state in real time using IoT sensors, deep learning, and blockchain-secured cloud architecture. Multi-modal signals—ECG, EMG, and GSR—are continuously captured through wearable nodes connected to a Raspberry Pi or ESP32 edge hub. The local AI engine processes features such as heart-rate variability, muscle fatigue index, and stress conductance ratio to generate a dynamic digital replica (twin) representing the patient’s health trajectory. This twin model predicts anomalies related to chronic conditions like hypertension, diabetic stress, or neuromuscular disorders. To ensure data integrity and privacy, each physiological event is hashed and stored in a blockchain ledger, preventing unauthorized tampering. Secure dashboards allow clinicians to view real-time vitals, trend analytics, and blockchain transaction proofs, ensuring transparency and accountability.

🔹 Key Hardware Components

  • ECG Sensor: AD8232 / MAX30003

  • EMG Sensor: MyoWare 2.0 / Olimex EMG Shield

  • GSR Sensor: Grove GSR v1.2 / Analog Finger GSR

  • MCU: ESP32 / Raspberry Pi 4

  • Gateway: Raspberry Pi with Wi-Fi + LoRa for remote nodes

  • Display (optional): 1.3″ OLED

  • Power: Li-ion 3.7 V with charging circuit

  • Blockchain: Ethereum testnet / Hyperledger Fabric smart contracts

🔹 Workflow

  1. Data Acquisition: Sensors capture ECG, EMG, and GSR at fixed sampling rates.

  2. Edge Pre-Processing: Filters noise (Butterworth + Savitzky–Golay) and extracts key parameters.

  3. Digital Twin Model: Deep-learning (Bi-LSTM + Attention) network predicts next-state vitals and risk probabilities.

  4. Blockchain Layer: Each packet hashed (SHA-256) → stored as a transaction ensuring immutability.

  5. Cloud & Dashboard: Real-time visualization of vitals, anomaly trends, and blockchain proof logs.

  6. Clinician Alerts: SMS / Firebase notifications for threshold crossings.

🔹 Innovations

  • Combines multi-vital physiological monitoring with digital-twin intelligence.

  • Blockchain-secured health data ensures tamper-proof storage and traceability.

  • On-device AI minimizes latency and protects data privacy.

  • Extensible for personalized treatment, clinical trials, or remote home monitoring.

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