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A Control Engineering Approach for Designing an Optimized Treatment Plan for Fibromyalgia


Abstract There is increasing interest in the medical and behavioral health communities towards developing effective strategies for the treatment of chronic diseases. Among these lie adaptive interventions, which consider adjusting treatment dosages over time based on participant response. Control engineering offers a broad-based solution framework for optimizing the effectiveness of such interventions. In this thesis, an approach is proposed to develop dynamical models and subsequently, hybrid model predictive control schemes for assigning optimal dosages of naltrexone, an opioid antagonist, as treatment for a chronic pain condition known as fibromyalgia. System identification techniques are employed to model the dynamics from the daily diary report... (more)
Created Date 2011
Contributor Deshpande, Sunil (Author) / Rivera, Daniel E. (Advisor) / Si, Jennie (Committee member) / Tsakalis, Konstantinos (Committee member) / Arizona State University (Publisher)
Subject Electrical Engineering / Engineering / control systems / electrical engineering / fibromyalgia / hybrid model predictive control / optimized behavioral interventions / system identification
Type Masters Thesis
Extent 248 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note M.S. Electrical Engineering 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis