VascuEye is a medical device system designed to assist oral surgeons during free-flap oral surgery by detecting arteries and monitoring blood flow in real time. Using near-infrared (NIR) imaging technology, VascuEye enhances surgical precision by visualizing subcutaneous arteries, reducing the risk of accidental arterial damage. The system also simplifies post-surgical monitoring by detecting complications like hematomas and poor blood circulation.
VascuEye uses a Raspberry Pi embedded system with NIR sensors for artery detection, integrating AWS IoT for cloud storage and remote monitoring. The system features real-time artery mapping, displayed on a mobile interface developed using Flutter. This solution is tailored for free-flap oral surgery, where precise artery detection is critical to ensure the success of the procedure.
- Real-time artery detection using NIR technology
- Post-surgical monitoring for complications like poor circulation and hematomas
- Cloud storage and secure remote data access via AWS IoT
- Flutter-based mobile application for easy monitoring
- Raspberry Pi 3B/4B: Chosen for its processing power and flexibility.
- NIR Sensors: Sensors for detecting blood vessels (still under testing for optimal selection).
- AWS IoT: Secure cloud storage and real-time data monitoring.
- Node.js: Backend server for data handling and transmission between hardware and cloud.
- MongoDB: NoSQL database for storing patient-specific artery images and analysis results.
- React: Cross-platform development framework for mobile apps to display post-surgical data.
Follow these steps to set up your local development environment:
- Raspberry Pi (3B/4B) with Raspbian OS
- AWS Account (for AWS IoT setup)
- Node.js and MongoDB installed locally for backend development
- Clone the repository:
git clone https://github.com/cepdnaclk/e20-3yp-Vascueye.git