| Abstract |
NeuroSync is a prototype wearable device that integrates biomedical sensors and neurostimulation technology to detect and support treatment of neurological conditions such as dementia, ADHD, strokes, and seizures. Currently, limited tools exist for early detection of these conditions outside hospital settings, leading to delayed responses and higher mortality rates.
The device continuously monitors neurological activity, detects early warning signs, and connects to a mobile app that automatically alerts emergency contacts. NeuroSync combines hardware, AI models, and companion apps into one cohesive system. The device delivers targeted neurostimulation and records responses, while AI models analyse brain signals and generate adaptive feedback to ensure safety and effectiveness. Data flows in a continuous loop collected by the device, interpreted by AI, and visualised in the app allowing real-time monitoring and control.
To validate performance, I developed an AI-based simulator that mimics human neurological conditions and ran 15 test simulations using a sampling and averaging method to reduce bias. From May to November, I researched detection methods and neurostimulation technologies, guiding both hardware and software design. The prototype integrates ECG, EEG, blood pressure sensors, ESP32, Raspberry Pi Zero, haptic modules, and bone conduction speakers.
The project budget increased from €340 to €600 due to component costs. Future development could expand NeuroSync into specialised devices tailored to specific conditions. With a target market valued at €1.69 billion, NeuroSync has the potential to revolutionise neurological care especially for elderly patients in care homes by offering early detection, continuous support, and new hope for families worldwide.
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