Description
Electrical neural activity detection and tracking have many applications in medical research and brain computer interface technologies. In this thesis, we focus on the development of advanced signal processing algorithms to track neural activity and on the mapping of these algorithms onto hardware to enable real-time tracking.
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Contributors
- Miao, Lifeng (Author)
- Chakrabarti, Chaitali (Thesis advisor)
- Papandreou-Suppappola, Antonia (Thesis advisor)
- Zhang, Junshan (Committee member)
- Bliss, Daniel (Committee member)
- Kovvali, Narayan (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013
Subjects
- Electrical Engineering
- Biomedical Engineering
- Algorithm Development
- Bayesian methods
- Hardware Implementation
- Neural Activity Tracking
- Field programmable gate arrays
- Bayesian statistical decision theory
- Electroencephalography--Data processing.
- Electroencephalography
- Signal processing--Digital techniques.
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Note
- Partial requirement for: Ph.D., Arizona State University, 2013Note typethesis
- Includes biliographical references (p. 95-103)Note typebibliography
- Field of study: Electrical engineering
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by Lifeng Miao