Technology

Building What
Doesn't Exist Yet

When a scientific question requires a tool that hasn't been built, we build it. Our platforms are actively used in IRB-approved clinical studies at WVU.

SeizEAR · In-Ear EEG Platform
Platform 01

SeizEAR

SeizEAR is an in-ear EEG system that captures brain electrical signals through electrodes embedded in a custom ear canal mold — housed within a commercial hearing aid form factor. The external auditory canal provides a biologically shielded, mechanically stable recording site with surprisingly strong signal quality for interictal epileptiform discharge detection.

Unlike scalp EEG, SeizEAR is designed for continuous ambulatory use over days to weeks — capturing the brain's electrical activity during everyday life. This opens new possibilities for naturalistic epilepsy monitoring, medication efficacy tracking, and passive biomarker acquisition in neurodegenerative disease.

Custom Pearson r²-derived SNR metric for in-canal signal quality
Interictal epileptiform discharge detection with machine learning
Collaboration with Starkey Hearing Technologies (Achin Bhowmik lab)
Submitted to Sensors (MDPI), 2025
Applicable to neurodegenerative disease digital biomarker capture
Read Research Background
Axon-R · AR Brain-Computer Interface
Platform 02

Axon-R (AR-BCI)

The Axon-R platform is built on the Cognixion ONE augmented reality headset — a purpose-built assistive technology device that combines gaze-tracking, EEG, and spatial computing. We integrate this hardware with real-time EEG signal processing and neural decoding to create a communication and language rehabilitation interface for patients with expressive aphasia.

Pursued through the NSF BRAIN Pilot IUCRC grant with the Aphasia sub-study (SS-01), the Axon-R system enables patients who have lost the ability to speak — due to stroke, epilepsy surgery, or neurodegenerative disease — to communicate using neural signals combined with AR-assisted word and concept selection.

Cognixion Axon-R headset with integrated dry-electrode EEG array
Pupil Labs Pupil Core eye-tracking for complementary gaze decoding
P300 and gaze-contingent paradigm for word/symbol selection
IRB-approved clinical protocol at WVU (SS-01 aphasia study)
NSF BRAIN Pilot IUCRC grant support
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SEEG Research Infrastructure · EMU
Platform 03

Intracranial Recording Platform

The foundation of our human electrophysiology research is a well-established clinical research infrastructure embedded in the WVU Epilepsy Monitoring Unit. Patients undergoing stereoEEG evaluation for epilepsy surgery have 10–20 depth electrodes implanted across lateral and medial temporal, frontal, cingulate, and insular targets — providing simultaneous broadband access to distributed circuits.

We have built a research pipeline around this clinical program: IRB-approved protocols for task-based paradigms during EMU admission, custom signal processing toolboxes for spectral analysis and phase-amplitude coupling, and a growing database of research-quality intracranial EEG from adult and pediatric patients. Our system supports parallel broadband (1–10,000 Hz) recording alongside the clinical EEG system.

Clinically implanted stereoEEG depth electrodes (Dixi, PMT, Ad-Tech)
Broadband LFP recording 1–10,000 Hz for HFO and gamma analysis
Cognitive and emotional paradigm delivery integrated with clinical monitoring
Custom MATLAB/Python pipeline for spectral, connectivity, and phase analysis
Multi-patient database for depression-epilepsy biomarker discovery
Brain Circuit Research
Emerging Platforms

Future Technologies

The next generation of Chan Lab technologies — currently in early development or planning stages.

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Focused Ultrasound (LIFU)
Low-intensity focused ultrasound for non-invasive neuromodulation, guided by real-time stereoEEG biomarkers. ANT-targeted LIFU protocol under development in partnership with NaviFUS.
Closed-Loop Neural Stimulation
Biomarker-triggered stimulation systems using real-time oscillatory features from stereoEEG to drive on-demand therapeutic neuromodulation in epilepsy and depression.
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AI-Assisted Neuromodulation
Machine learning models for adaptive DBS and RNS parameter selection, trained on patient-specific oscillatory signatures and therapeutic outcomes.
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Eye-Tracking Neural Signatures
Pupil Labs Pupil Core integration across clinical populations to capture saccade, pupillometry, and microsaccade biomarkers of cognitive and neurodegenerative disease.
Industry & Academic Partners

Technology Partners

We collaborate closely with industry and academic partners to translate laboratory prototypes into tools ready for clinical research.

Starkey Hearing Technologies
Cognixion
NaviFUS
Pupil Labs
Focused Ultrasound Foundation