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Full-Text Articles in Medicine and Health Sciences
Processing Random Signals In Neuroscience, Electrical Engineering And Operations Research, Kalyan Raman
Processing Random Signals In Neuroscience, Electrical Engineering And Operations Research, Kalyan Raman
Wayne State University Dissertations
The topic of this dissertation is the study of noise in electrical engineering, neuroscience, biomedical engineering, and operations research through mathematical models that describe, explain, predict and control dynamic phenomena. Noise is modeled through Brownian Motion and the research problems are mathematically addressed by different versions of a generalized Langevin equation. Our mathematical models utilize stochastic differential equations (SDEs) and stochastic optimal control, both of which were born in the soil of electrical engineering. Central to this dissertation is a brain-physics based model of cerebrospinal fluid (CSF) dynamics, whose structure is fundamentally determined by an electrical circuit analogy. Our general …
Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors, Brady King
Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors, Brady King
Wayne State University Dissertations
OPTIMAL SURGICAL PORT PLACEMENT AND AUTOMATED ROBOTIC POSITIONING FOR RAMAN AND OTHER BIOSENSORS
by
BRADY KING
January 2011
Advisors: Dr. Abhilash Pandya, Dr. Darin Ellis, Dr. Le Yi Wang, and Dr. Greg Auner
Major: Computer Engineering
Degree: Doctor of Philosophy
Medical biosensors can provide new information during minimally invasive and robotic surgical procedures. However, these biosensors have significant physical limitations that make it difficult to find optimal port locations and place them in vivo. This dissertation explores the application of robotics and virtual/augmented reality to biosensors to enable their optimal use in vivo.
In the first study, human …