Advancing neuromodulation using a dynamic control framework

Pedram Afshar, Xuan Wei, MacIej Lazarewicz, Rahul Gupta, Greg Molnar, Timothy Denison

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The current state of neuromodulation can be cast in a classical dynamic control framework such that the nervous system is the classical plant, the neural stimulator is the controller, tools to collect clinical data are the sensors, and the physician's judgment is the state estimator. This framework characterizes the types of opportunities available to advance neuromodulation. In particular, technology can potentially address two dominant factors limiting the performance of the control system: observability, the ability to observe the state of the system from output measurements, and controllability, the ability to drive the system to a desired state using control actuation. Improving sensors and actuation methods are necessary to address these factors. Equally important is improving state estimation by understanding the neural processes underlying diseases. Development of enabling technology to utilize control theory principles facilitates investigations into improving intervention as well as research into the dynamic properties of the nervous system and mechanisms of action of therapies. In this paper, we provide an overview of the control system framework for neuromodulation, its practical challenges, and investigational devices applying this framework for limited applications. To help motivate future efforts, we describe our chronically implantable, low-power neural stimulation system, which integrates sensing, actuation, and state estimation. This research system has been implanted and used in an ovine to address novel research questions.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages671-674
Number of pages4
Volume2011
DOIs
StatePublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

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  • Cite this

    Afshar, P., Wei, X., Lazarewicz, M., Gupta, R., Molnar, G., & Denison, T. (2011). Advancing neuromodulation using a dynamic control framework. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (Vol. 2011, pp. 671-674). [6090150] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6090150