NEURO-WELL
Bridging Mental Health & Technology
The problem NEURO-WELL solves
Mental health diagnosis today relies heavily on self-reporting and therapist/Doctors observation, which are often subjective, incomplete, and prone to bias. Patients may hide or underreport emotions due to stigma, memory gaps, or discomfort. Therapists lack objective, real-time physiological data that could reveal how a patient’s body reacts when discussing trauma or stress.
Existing solutions like smartwatches provide raw vitals but are not designed for therapy contexts, leaving a critical gap in tools that can help mental health professionals make accurate, data-driven diagnoses and personalized treatment plans.
Challenges we ran into
1. Sensor Accuracy & Calibration
- Raw signals from HR, SpO₂, and GSR sensors were noisy.
- Required filtering techniques (e.g., moving average, smoothing) to get stable readings.
2. Hardware Integration Issue
- Multiple biosensors on Arduino caused signal interference and power limitations.
- Needed proper wiring management and stable power supply.
3. Real-Time Data Transmission
- Continuous data transfer created latency and packet loss.
- Optimized by reducing data frequency and using lightweight communication methods.
4. Dashboard Development
- Designing a therapist-friendly UI was difficult.
- Had to balance detailed graphs with simple, quick-to-read
visuals.
**5. Data Privacy Concerns
**
Patient health data is sensitive and required secure handling.
Implemented basic encryption and authentication in prototype.
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