Natural-sleep data, not one-night lab snapshots.
Clinical-grade research, in the real world
NextSense was born at the intersection of neuroscience, medicine, and technology. The same technology powering Smartbuds is powering IRB-approved studies across sleep, neurology, and cognition around the world.
The NextSense Difference
Researcher Spotlight
How Partnerships Work
Scope
Align on protocol goals, endpoints, and feasibility.
Provision
Provide Ear-EEG hardware, setup guides, and hands-on onboarding for PIs, coordinators, and participants.
Collect
Capture EEG and motion data from participants in both real-world and in-lab settings, with flexible access options
Analyze
De-identified data exports; joint abstracts/publications as applicable.
Evidence & Publications
See how NextSense is supporting clinicians and researchers.
Clinical Studies
Ear-EEG Validation for Seizure and Sleep Detection
NextSense earbuds vs. scalp/iEEG/PSG for seizure and sleep signature detection.
Consciousness & Sleep State Assessment via Ear-EEG
Assessed earbud EEG in individuals with idiopathic hypersomnia (on/off medication) and healthy controls.
Sleep/Wake Detection, Earbud EEG vs. In‑Lab EEG
Comparing sleep/wake classification from earbud EEG to PSG.
Idiopathic Hypersomnia: Low‑Sodium Oxybate Sleep Study
Low sodium oxybate trial in IH patients using ear‑EEG, actigraphy, and PSG to monitor sleep time.
Publications
Ear-EEG for Seizure Detection [Bioelectric Medicine, 2024]
In-ear EEG reliably detected 86% of focal seizures vs. intracranial EEG, with low false positives.
Long-Term Seizure Monitoring [AES, 2022]
Ear-EEG captured 85.6% of focal seizures; all generalized seizures detected.
In-Ear EEG for Home Seizure Monitoring [AES, 2021]
Feasibility of seizure monitoring with an in-ear EEG wearable.
VNS in Peripartum Depression [ScienceDirect, 2022]
Auricular taVNS, Nēsos(NextSense), in women with peripartum-onset MDD: 74% response, 61% remission after 6 weeks.
Ear‑EEG Signal Quality Assessment [Ubiquitous Computing '24]
NextSense ear‑EEG evaluated against traditional scalp and intracranial EEG.
We collaborate with leading academic institutions
Platform Capabilities
Sensors & Signals
In-ear EEG with contextual signals suitable for sleep/wake detection and more.
Participant Experience
Comfortable wear, at-home setup, guided onboarding.
Data Handling
De-identification and secure transfer; export options compatible with common analysis tools.
Study Ops
Coordinator guides, replacement hardware flow, and remote support.
Current Focus Areas
Sleep health & recovery
Built to integrate with academic processes and privacy best practices.
Neurological signal characterization
Time-synced signals and events exportable for analysis.
Cognitive performance research
Sleep, neurological disorders, cognitive decline.
Partner With Us
Ready to explore a collaboration? Tell us a bit about your study.