Created by the team behind FND Connect
1 record
Shared timeline across logging, review and forecasting.
4 risk windows
Each day broken into clinically useful review periods.
Trusted origin
The practical daily-use layer of the FND Connect ecosystem.
Compassionate seizure tracking infrastructure for daily life.
SeizeControl brings structured episode logging, longitudinal review, forecasting, cycle context and wearable signals into one disciplined workspace, with FND Connect's humane, lived-experience-aware approach behind it.
Clinical command view
Shared patient picture
Synced record
Observed seizure cadence
Forecast drivers
- Pressure overlap18%
- Cycle timing12%
- Temperature shift9%
Recent events
12 MarFocal
09 MarConvulsive
05 MarFocal
FND Connect ecosystem
FND Connect helps people understand FND. SeizeControl helps them manage patterns in real life.
Separate domains keep SeizeControl credible as a focused product, but the relationship should stay obvious: FND Connect is the mission, authority and community; SeizeControl is the tool, infrastructure and daily-use record.
Plain-English FND information, support routes and lived-experience-aware guidance.
Structured tracking that turns daily uncertainty into a reviewable record.
Learn, track, review
SeizeControl is where FND Connect guidance becomes a usable daily record.
People can use FND Connect to understand symptoms, safety boundaries and appointment questions, then use SeizeControl when seizure patterns, medication context, cycle timing, wearable data or repeated flares need a cleaner record.
Start with FND Connect when someone needs plain-English guidance, urgent-symptom boundaries or support routes.
Use SeizeControl for structured logs, timing windows, trigger context and summaries that survive memory gaps.
Bring the record into clinical, family or support conversations without treating the platform as a diagnosis tool.
Clinical trust layer
Built for clearer review conversations, with careful limits.
SeizeControl can help people arrive with a structured timeline instead of fragmented notes. The right next step for clinical adoption is governance, advisory input and evidence-aware pilots, not overstated product claims.
Episode timing, recovery, medication context, cycle context and repeated triggers stay together for appointment preparation.
Formal service use should be shaped with clinician input, data protection review, outcome questions and local boundaries.
Future work can examine frequency, severity, recovery time, confidence, pattern awareness and quality of review conversations.
Boundary: SeizeControl supports monitoring and preparation. It is not an emergency alert system, diagnostic system, medical device or replacement for specialist judgement.
Log episodes with enough useful detail to trust later.
Capture onset, duration, awareness, speech, trigger context and environmental conditions in a consistent intake workflow instead of free-text notes.
Risk reviewed as operational windows, not vague daily scores.
Each day is broken into time windows so the forecast can be interpreted against recorded timing patterns, weather conditions and cycle-linked context.
Bring cleaner evidence into neurology reviews.
Longitudinal history, recurrent triggers and AI-generated summaries all sit on top of the same underlying record.
The product is designed to feel serious enough for review, but humane enough for people using it on difficult days.
Cycle data, pressure, temperature and wearables support the same clinical picture instead of living in separate screens.
Designed for clearer follow-up discussions, record correction and more reliable pattern review over time.