UX/UI designMindtooth - Brain reader
Mindtooth is a neurotechnology application developed by Brainsigns for monitoring, reading, and analyzing brainwave recordings. The project focused on designing the tablet interface of the management app, ensuring clarity in data visualization and usability in professional and research contexts.
Role
UX/UI Designer
Client
Adalot
Tools
Photoshop InVision
01 — Project Vision & Strategy
The goal was to translate complex neuroscientific data into a clear, structured, and accessible tablet interface.
Given the highly technical nature of EEG readings and brainwave analysis, the design strategy focused on precision, legibility, and ease of interpretation.
Key objectives included:
- Design an interface optimized only for tablet devices
- Ensure clarity in the visualization of brainwave recordings
- Support professionals in analysis and monitoring activities
02 — UX & Data Visualization
Particular attention was dedicated to information hierarchy and data visualization principles.
The interface needed to balance scientific accuracy with usability, allowing users to quickly interpret charts, signals, and session data without cognitive overload.
Focus areas included:
- Structured layout for EEG data visualization
- Readable charts and signal representations
- Clear navigation between sessions, recordings, and analytical views
03 — Design Process
I developed high-fidelity UI mockups tailored specifically for tablet resolution and interaction patterns.
Touch interactions, spacing, and typography were carefully calibrated to ensure comfort and precision during professional use.
Key outcomes included:
- Tablet-optimized UI design
- Clear and structured data dashboards
- Consistent visual system aligned with the scientific context
04 — My Role
I was responsible for:
- UI design for the tablet management application
- Information hierarchy definition for complex scientific data
- Design of dashboards for brainwave monitoring and analysis
- Optimization of usability for professional and research environments
My contribution helped transform advanced neurophysiological data into a clear and functional visual interface, supporting accurate analysis and operational efficiency.