Jane E Huggins
Research Associate Professor, Physical Medicine and Rehabilitation, Medical School
Research Associate Professor, Biomedical Engineering, College of Engineering
325 East Eisenhower Parkway
Ann Arbor, Michigan 48108
[email protected]
Ann Arbor, Michigan 48108
Available to mentor
Jane E Huggins
Research Associate Professor
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Research Overview
My research focuses on the development of electroencephalogram (EEG)-based brain-computer interfaces (BCIs) into practical clinical tools for use by people with physical impairments. Barriers to clinical use include signal processing challenges, selection of tasks for BCI operation, interactions between BCIs and different conditions causing impairments, and technical support issues to troubleshoot in-home BCI use.
Links
UMDBI Lab Webpage
Recent Publications
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Huggins JE. 2026 Jun 15;PresentationIntroduction to P300 Brain-Computer Interface Data Analysis Challenges
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Huggins JE, Biswas P, Huggins JK, Chandel R. Sensors, 2026 Mar 30; 26 (7): 2123 - 2123.Journal ArticleA Flash Group Creation Algorithm for P300 Brain–Computer Interface Integration with Irregular Assistive Technology Keyboard Layouts
DOI:10.3390/s26072123 -
Tou SLJ, Warschausky SA, Karlsson P, Huggins JE. Frontiers in Human Neuroscience, 2026 Mar 27; 20: 1720969Journal ArticleIndividualized electrode subset improves the calibration accuracy of an EEG P300-design brain-computer interface for people with severe cerebral palsy
DOI:10.3389/fnhum.2026.1720969 -
Zhao B, Wang Y, Huggins JE, Kang J. The Annals of Applied Statistics, 2026 Mar 21; 20 (1): 744 - 763.Journal ArticleA Bayesian reinforcement learning framework for optimizing the BCI-utility of P300 brain-computer interfaces
DOI:10.1214/25-aoas2080 -
Huggins JE, Hill K. 2026 Jun 15;PresentationCommunication Brain-Computer Interfaces: Benefits and Barriers
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Hill K, Huggins JE, Lieto A, Ferguson C. 2026 Jun 15;PresentationEnvisioning Future Communication through Brain-Computer Interface (BCI) Implementation Research Projects across the Research Lifecycle
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Duerstock B, Klinich K, Huggins J, Fink P. 2026 Jun 16;PresentationAccessible Mobility
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Ma T, Huggins JE, Kang J. 2024 Jan 18; arXiv,PreprintBayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface
DOI:10.48550/arxiv.2401.07111
Featured News & Stories
Department News
Dr. Jane Huggins interviewed by Digital Tends about brain-computer interfaces
Dr. Jane Huggins of PM&R was interviewed by Digital Tends about brain-computer interfaces.