Seizure Monitor Dashboard

Neuro Event Labs, combining AI and human expertise for epileptic seizure detection, needed initial dashboard design for 'Nelli' monitoring system that would present complex neurological data, video analysis, diagnostics, and AI-driven insights to medical professionals in actionable format.

Designed dashboard for neurological event monitoring system in rapid timeframe | Created UI showing video library, diagnostics, insights, and treatment options | Integrated status indicators, personal statistics, and machine learning outputs | Created threshold + calibration controls (audio/motion/camera) and operational surfaces (storage/network/battery) | Included accessibility controls (contrast, font sizing) and backup strategy in settings

Provided initial design foundation for AI-driven seizure detection platform | Created dashboard balancing data complexity with clinical usability | Enabled stakeholder visualization of monitoring system before development | Clarified product requirements for monitoring, diagnostics, and reporting

Medical dashboards for conditions like epilepsy require different thinking than general health apps—clinicians need to see patterns, anomalies, and treatment implications at a glance, with video evidence and AI insights supporting rather than overwhelming human decision-making. Monitoring UX succeeds when 'readiness state' is explicit and persistent. Nelli—Created initial design in a few days for a nighttime neurological event monitoring and reporting system. The system records and analyzes a patient's seizure data and incorporates machine learning and heuristic algorithms to discern patterns, offer treatment options and present insights.