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.

Partner with us See publications

The NextSense Difference

Researcher Spotlight

Yashar Kiarashi

PhD

Yashar Kiarashi

PhD

As a postdoctoral researcher at the Clifford Lab at Emory University, my research focuses on developing novel AI-driven methods and sensing technologies to address critical challenges in healthcare, particularly for neurological and developmental disorders. My interdisciplinary approach combines expertise in artificial intelligence, biomedical sensing, and signal processing to create tools that can improve patient outcomes through early detection and personalized interventions. Working with the Cognitive Empowerment Program and the Goizueta Alzheimer's Disease Research Center, I develop methods to identify cognitive markers in older adults at risk for Mild Cognitive Impairment using multimodal data from wearable technologies, including NextSense in-ear EEG devices and wristband health monitors.

Daniel Ehrens

PhD

Daniel Ehrens

PhD

Daniel Ehrens is a biomedical engineer and neuroscientist with over 12 years of experience in epilepsy research, early seizure detection, and closed-loop systems for brain-state modulation using both invasive and noninvasive stimulation techniques. His work integrates advanced signal processing, multimodal EEG/ECG analytics, and machine learning with a focus on brain–body dynamics, dynamical systems, neuromodulation, and consciousness. He has contributed to secure AI-driven healthcare platforms and to signal and algorithmic development at NextSense in areas such as sleep enhancement, state and event detection, and seizure forecasting. His mission is to design innovative technologies that restore balance, homeostasis, and human well-being.

Prabhjyot Saini

Prabhjyot Saini

Prabhjyot Saini is a PhD candidate in Human Genetics at McGill University studying gene regulation in neurodegenerative disease (Parkinson’s, Alzheimer’s). His dissertation applies integrative multi‑omics to map genetic complexity and therapeutic targets in neurodegenerative diseases. Alongside his PhD, Prabhjyot advances sleep research on pathological sleepiness in hypersomnia, targeting GABA‑A allosteric modulators at Emory University in the Department of Neurology with Dr. David Rye where he continues that clinic‑to‑bench‑to‑bedside translational program. Grounded in patient care, he integrates neurology, genetics, and informatics to refine phenotyping, uncover mechanisms, and accelerate prevention, diagnosis, and therapy development across sleep‑wake disorders. Publications include Annals of Neurology, Science Translational Medicine, and Nature Communications. He holds a Bachelor of Science in Molecular, Cellular and Developmental Biology from the University of Michigan and a Masters of Science in Public Health from Emory University.

Phyllis Zee

Phyllis Zee

Dr. Phyllis Zee is a world-renowned sleep and circadian rhythm expert, serving as the Director of the Center for Circadian and Sleep Medicine and Professor of Neurology at Northwestern University's Feinberg School of Medicine. Her extensive research focuses on the fundamental mechanisms of circadian clocks and their implications for cardiometabolic and neurological disorders, with her laboratory also investigating novel sleep-based interventions like light and exercise for improving cognitive, cardiovascular, and metabolic health. Dr. Zee is the founder of the first clinical practice in the U.S. dedicated to circadian rhythm disorders, and holds leadership positions in major sleep research organizations, including being the current President-Elect of the World Sleep Society.

Lynn Marie Trotti

Lynn Marie Trotti

Lynn Marie Trotti, MD, MSc, is an Associate Professor of Neurology at Emory University School of Medicine and the newly appointed Director of the Emory Sleep Center. She is a nationally recognized expert in sleep medicine, specializing in hypersomnia, narcolepsy, and the interaction between sleep and neurologic conditions like Parkinson's disease and restless legs syndrome. Her work, supported by the NIH, focuses on advancing understanding and treatments for central nervous system sleep disorders.

David Rye

David Rye

Dr. David Rye is a tenured Professor of Neurology at Emory University School of Medicine, an expert in sleep disorders including idiopathic hypersomnia, narcolepsy, and restless legs syndrome. He holds both an MD and PhD, is a leading clinician and researcher, and has received numerous awards for his contributions, including the Hypersomnia Foundation's first Impact Award. His research focuses on the brain mechanisms and genetics of sleep/wake states, and he is known for his work on dopaminergic networks and the identification of genetic variants associated with restless legs syndrome.

How Partnerships Work

1

Scope

Align on protocol goals, endpoints, and feasibility.

2

Provision

Provide Ear-EEG hardware, setup guides, and hands-on onboarding for PIs, coordinators, and participants.

3

Collect

Capture EEG and motion data from participants in both real-world and in-lab settings, with flexible access options

4

Analyze

De-identified data exports; joint abstracts/publications as applicable.

Clinical Studies

Ear-EEG Validation for Seizure and Sleep Detection

NextSense earbuds vs. scalp/iEEG/PSG for seizure and sleep signature detection.

NextSense + Emory | Atlanta

Read

Consciousness & Sleep State Assessment via Ear-EEG

Assessed earbud EEG in individuals with idiopathic hypersomnia (on/off medication) and healthy controls.

Emory | Atlanta

Read

Sleep/Wake Detection, Earbud EEG vs. In‑Lab EEG

Comparing sleep/wake classification from earbud EEG to PSG.

Emory | Atlanta

Read

Idiopathic Hypersomnia: Low‑Sodium Oxybate Sleep Study

Low sodium oxybate trial in IH patients using ear‑EEG, actigraphy, and PSG to monitor sleep time.

Mayo Clinic | Multi-site

Read

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.

Read

Long-Term Seizure Monitoring[AES, 2022]

Ear-EEG captured 85.6% of focal seizures; all generalized seizures detected.

Read

In-Ear EEG for Home Seizure Monitoring[AES, 2021]

Feasibility of seizure monitoring with an in-ear EEG wearable.

Read

VNS in Peripartum Depression[ScienceDirect, 2022]

Auricular taVNS, Nēsos(NextSense), in women with peripartum-onset MDD: 74% response, 61% remission after 6 weeks.

Read

Ear-EEG Validation for Seizure and Sleep Detection

NextSense earbuds vs. scalp/iEEG/PSG for seizure and sleep signature detection.

Read

More Proof

We collaborate with leading academic institutions

Platform Capabilities

Sensors & Signals

Sensors & Signals

In-ear EEG with contextual signals suitable for sleep/wake detection and more.

Participant Experience

Participant Experience

Comfortable wear, at-home setup, guided onboarding.

Data Handling

Data Handling

De-identification and secure transfer; export options compatible with common analysis tools.

Study Ops

Study Ops

Coordinator guides, replacement hardware flow, and remote support.

Current Focus Areas

Sleep health & recovery Sleep health & recovery

Sleep health & recovery

Built to integrate with academic processes and privacy best practices.

Neurological signal characterization Neurological signal characterization

Neurological signal characterization

Time-synced signals and events exportable for analysis.

Cognitive performance research Cognitive performance research

Cognitive performance research

Sleep, neurological disorders, cognitive decline.

Partner 
With Us

Ready to explore a collaboration? 
Tell us a bit about your study.