Xiaopeng Zhao, Ph.D.

Affiliations: 
2004 Virginia Polytechnic Institute and State University, Blacksburg, VA, United States 
Area:
Applied Mechanics, Mechanical Engineering, Electronics and Electrical Engineering
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"Xiaopeng Zhao"

Parents

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Ali H. Nayfeh grad student 2004 Virginia Tech
 (Modeling and simulation of MEMS devices.)
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Publications

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Jiang Y, Jessee W, Hoyng S, et al. (2022) Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work? Frontiers in Aging Neuroscience. 14: 780817
Borhani S, Zhao X, Kelly MR, et al. (2021) Gauging Working Memory Capacity From Differential Resting Brain Oscillations in Older Individuals With A Wearable Device. Frontiers in Aging Neuroscience. 13: 625006
Abiri R, Borhani S, Kilmarx J, et al. (2020) A Usability Study of Low-cost Wireless Brain-Computer Interface for Cursor Control Using Online Linear Model. Ieee Transactions On Human-Machine Systems. 50: 287-297
Borhani S, Kilmarx J, Saffo D, et al. (2019) Optimizing Prediction Model for a Noninvasive Brain Computer Interface Platform using Channel Selection, Classification and Regression. Ieee Journal of Biomedical and Health Informatics
Abiri R, Borhani S, Jiang Y, et al. (2019) Decoding Attentional State to Faces and Scenes Using EEG Brainwaves Complexity. 2019: 1-10
Jiang Y, Li J, Jicha GA, et al. (2019) PROGNOSIS OF CONVERSION TO MILD COGNITIVE IMPAIRMENT AND TIME TO RELIABLE CHANGES VIA MEMORY-RELATED ELECTROPHYSIOLOGICAL BRAIN SIGNATURES Alzheimer's & Dementia. 15: P157
Baljepally S, Enani S, Borhani S, et al. (2019) Prediction of mortality associated with early onset pneumonia in Acute Myocardial Infarction Informatics in Medicine Unlocked. 16: 100211
Abiri R, Borhani S, Sellers EW, et al. (2018) A comprehensive review of EEG-based brain-computer interface paradigms. Journal of Neural Engineering
Jiang Y, Abiri R, Zhao X. (2017) Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback. Frontiers in Aging Neuroscience. 9: 52
McBride J, Zhao X, Munro N, et al. (2015) Discrimination of mild cognitive impairment and Alzheimer's disease using transfer entropy measures of scalp EEG. Journal of Healthcare Engineering. 6: 55-70
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