01
Measure
Capture wearable EEG signals.
Wearable EEG · Brain health researchSee the brain.
See the brain.
Track the change.
Wearable EEG and AI-powered neurotechnology for the next generation of brain health research.
NeuroViu combines wearable neural sensing, quantitative EEG, neural connectivity analysis, and artificial intelligence to help researchers investigate traumatic brain injury, cognitive decline, dementia, and Alzheimer’s disease.
Research use onlyNot a medical device
Wearable neural sensingResearch use only
- Wearable EEG
Neural sensing you can take to the participant
- Quantitative Neural Analytics
Spectral, time-frequency, and connectivity measures
- AI & Machine Learning
Research models over structured neural features
- Longitudinal Brain Research
Repeated sessions, studied as a trajectory
Why NeuroViu
A different way to study the brain.
Brain changes don’t always happen in a laboratory. NeuroViu is developing wearable technology that can help researchers capture and analyze neural signals across repeated sessions and real-world research environments.
02
Analyze
Transform neural signals into quantitative features and connectivity measures.
03
Track
Study how brain activity changes over time.
Research areas
Researching the changing brain
NeuroViu is focused on three interconnected areas of brain health research.
The technology
From neural signals to research insights.
NeuroViu brings neural sensing and computational neuroscience together in a single research-oriented platform.
Signal integrity first
Every downstream measure depends on the quality of the recording. Preprocessing and quality control sit at the center of the pipeline, not at the edges.
- Wearable EEG
Neural signals captured with a compact wearable device.
- Signal Processing
Filtering, artifact handling, and signal quality control.
- Quantitative EEG
Spectral and time-frequency features derived from the recording.
- Neural Connectivity
Relationships between brain regions and neural networks.
- AI / Machine Learning
Research models for classification, prediction, and representation learning.
- Longitudinal Analysis
Comparison of measures across repeated research sessions.
Hardware
Meet NeuroViu Lite
Wearable EEG designed for research beyond the traditional laboratory.
A compact wearable EEG platform designed to capture neural signals in flexible research environments.
Wearable
Compact form factor designed for flexible data collection.
EEG
Captures electrical activity from the brain.
Wireless
Designed for wireless data transmission.
Research Ready
Built around research workflows and quantitative analysis.
Research use only
NeuroViu Lite is a research instrument. It is not intended to diagnose, treat, or monitor any disease or medical condition.
Software
NeuroViu AI
Turning neural signals into structured research data.
NeuroViu combines signal processing, quantitative EEG, neural connectivity analysis, and machine learning to help researchers investigate complex patterns in brain activity.
Layered analysis graphFeatures
Schematic view of how NeuroViu moves from raw signal to research models. Illustrative, not output from a study.
Signal Analytics
EEG preprocessing, artifact handling, spectral and time-frequency analysis.
Connectivity
Explore relationships between brain regions and neural networks.
Machine Learning
Develop research models for classification, prediction, and representation learning.
Explainable AI
Explore which neural features contribute to model outputs.
Multimodal neuroscience
Connecting electrical activity with brain structure.
NeuroViu's research framework can combine EEG-derived measures with MRI and cognitive data to investigate relationships between brain activity, connectivity, structure, and behavior.
EEG
Electrical activity over time
MRI
Structural context
Cognitive Data
Behavioral and cognitive measures
AI
Pattern analysis across modalities
Result
Multimodal Brain Analytics
A combined view of signal, structure, and behavior for research questions that no single modality answers on its own.
This framework is under development for research purposes. No clinical or diagnostic performance is claimed.
Longitudinal research
The brain changes over time.
A single measurement provides a snapshot. Longitudinal data can reveal patterns of change. NeuroViu is designed around the idea of studying neural signals across repeated research sessions.
- Session 01Baseline recording
- Session 02Repeat visit
- Session 03Repeat visit
- Session 04Repeat visit
- Longitudinal patternChange, not a snapshot
Sessions compared as a trajectory of neural measures.
Platform
The NeuroViu Research Platform
One workflow from neural signal to analysis.
- 01Study
Research protocol and participant organization.
- 02Capture
Wearable EEG data collection.
- 03Process
Signal quality control and preprocessing.
- 04Analyze
Quantitative EEG and connectivity analysis.
- 05Model
Statistical and machine-learning analysis.
- 06Track
Longitudinal comparison and visualization.
Bring your study to the platform, or bring the platform to your study.
Partner With NeuroViuCollaboration
Built for collaborative neuroscience.
NeuroViu is designed to support researchers investigating brain injury, cognitive aging, dementia, neurodegeneration, and neural biomarkers.
- Universities
- Research Laboratories
- Clinical Research Teams
- Rehabilitation Research
- Neuroscience Programs
- Biotech & Pharmaceutical Research
Science
Research & Publications
Work in progress, labeled by its real status. Items that have not completed peer review are never presented as though they have.
Traumatic Brain InjuryManuscript in preparation
Advancing TBI Monitoring Through Quantitative EEG and AI
Surveys quantitative EEG features and machine-learning approaches under investigation for characterizing changes in brain function associated with traumatic brain injury.
Read MoreConnectivity · Signal ProcessingResearch project · ongoing
Advanced EEG Signal Processing for Functional Brain Connectivity Estimation
Describes signal-processing methods under development for estimating functional connectivity between brain regions from wearable EEG recordings, including artifact handling and channel-reduction tradeoffs.
Read MoreWearable SystemsTechnical paper
Foundations for Real-Time Neural Analytics in Wearable Research Systems
Outlines the signal-processing and system-architecture constraints involved in delivering neural analytics from a wearable, dry-electrode EEG platform outside the traditional laboratory.
Read MoreCognitive Aging · Alzheimer’sPlaceholder
Reserved for upcoming work in cognitive aging and neurodegeneration
Placeholder. Studies in these areas are in early development; entries will appear here as work is written up, with its status labeled honestly.
Awaiting write-upAbout NeuroViu
Built at the intersection of neuroscience, engineering, and artificial intelligence.
NeuroViu grew from a simple question: can wearable technology make it easier to study changes in the brain?
Our work brings together neuroscience, biomedical engineering, wearable neural sensing, EEG analytics, artificial intelligence, and computational approaches to brain connectivity.
We are building tools that give researchers new ways to investigate the brain across injury, aging, and neurodegenerative disease.
Ashlei Lewis
Founder & CEO · Neurotechnology Engineer
Ashlei founded NeuroViu to close the gap between laboratory-grade EEG research and the settings where brain change actually unfolds — bringing an engineering background in wearable sensing to the design of NeuroViu Lite and the broader analytics platform. Research interests include wearable neural sensing architecture, EEG signal processing, and quantitative analysis of brain connectivity.
With thanks
NeuroViu is shaped by the people who build it. Our thanks to Ashlei Lewis, Dr. Alexa Yung, and Dr. Raul Patel for their contributions to this work.
Interdisciplinary team
- Research Psychology
Cognitive science expertise shaping study design and human-subject research protocols.
- Engineering
Wearable hardware, firmware, and signal-acquisition systems design.
- Finance & Operations
Company operations, research budgeting, and partnership logistics.
- Media & Communications
Scientific communication, research storytelling, and public engagement.
- Scientific Collaborators
Affiliated researchers across neuroscience, neural signal analysis, and AI.
Founder Research
Founder Research & Special Projects
Beyond NeuroViu: Research, Innovation & Scientific Exploration
Beyond her work developing NeuroViu, Dr. Ashlei Lewis participates in interdisciplinary research, scientific challenges, academic publishing, and emerging technology initiatives spanning neuroscience, artificial intelligence, human performance, brain health, and space-related research.
- NeuroViu InitiativeWomen’s Health · Brain Health · Community
She’s a Flame Women’s Health Conference
A women-centered health and wellness conference hosted by NeuroViu, bringing together researchers, practitioners, innovators, and community voices for accessible conversations on brain health, women’s health, health technology, and evidence-informed wellness.
Official NeuroViu initiativeView conference - ChallengeSpaceflight Human Research · Data Science
NASA Artemis II Human Research Data Methodology Challenge
Participation in a research methodology challenge centered on extracting meaningful scientific insight from the exceptionally small Artemis II crew sample. The challenge explores approaches for analyzing multimodal physiological and human-performance data across multiple systems and time points in a four-person deep-space mission context.
Challenge participation - ResearchNeuroscience · Artificial Intelligence
Wearable EEG & AI Research
Research exploring quantitative EEG, artificial intelligence, neural signal processing, cognitive performance, and accessible approaches to brain-health research.
Research conducted by the founderDetails forthcoming - PublicationScholarly Work
Scientific Publications & Book Chapters
Peer-reviewed manuscripts, academic book chapters, literature reviews, and other scholarly work spanning wearable neurotechnology, computational neuroscience, AI, and brain health.
Academic workDetails forthcoming - In ProgressCognition · Human Performance
Human Performance Research
Projects examining cognition, attention, workload, fatigue, neurodiversity, and human performance using neuroscience and computational methods.
Independent researchDetails forthcoming - ResearchSpecial Projects
Emerging Research & Innovation
A flexible category for research challenges, fellowships, collaborative projects, open-science initiatives, and experimental work outside NeuroViu’s primary product-development program.
External & independent workDetails forthcoming
Explore the Research
See NeuroViu’s own publications and research projects, or reach out to discuss academic work and scientific collaboration.
Note on affiliationProjects listed in this section may represent independent research, challenge participation, academic work, or external collaborations involving NeuroViu’s founder. Inclusion does not imply sponsorship, endorsement, partnership, or affiliation between NeuroViu and the organizations named unless explicitly stated.
A NeuroViu Network Original
Lipstick on Labcoats
Big Brains. Bold Questions. A Little Lipstick.
Explore science, neuroscience, psychology, philosophy, spirituality, and everyday life through meaningful conversations, humor, and curiosity — hosted by Ashlei Lewis.
Listen on Your Favorite Platform
Research Use Only
NeuroViu is currently a research-oriented neurotechnology platform. NeuroViu products and software are not intended to diagnose, treat, cure, or prevent any disease or medical condition. Research findings should not be interpreted as clinical diagnosis or medical advice.
The future of brain research is longitudinal.
We’re building tools to help researchers understand how neural signals change across injury, aging, and neurodegeneration.
Contact
Research with NeuroViu.
Tell us about your study. We work with researchers investigating brain injury, cognitive aging, dementia, and neurodegeneration.
- Research collaborations and study design
- Wearable EEG for a specific research protocol
- Quantitative EEG, connectivity, and AI analysis
- Academic, biotech, and rehabilitation research partnerships