Optimized treatment of fibromyalgia using system identification and hybrid model predictive control

Academic Article

Abstract

  • © 2014 Elsevier Ltd. The term adaptive intervention is used in behavioral health to describe individually tailored strategies for preventing and treating chronic, relapsing disorders. This paper describes a system identification approach for developing dynamical models from clinical data, and subsequently, a hybrid model predictive control scheme for assigning dosages of naltrexone as treatment for fibromyalgia, a chronic pain condition. A simulation study that includes conditions of significant plant-model mismatch demonstrates the benefits of hybrid predictive control as a decision framework for optimized adaptive interventions. This work provides insights on the design of novel personalized interventions for chronic pain and related conditions in behavioral health.
  • Authors

    Digital Object Identifier (doi)

    Author List

  • Deshpande S; Nandola NN; Rivera DE; Younger JW
  • Start Page

  • 161
  • End Page

  • 173
  • Volume

  • 33