UKF-based state feedback control of abnormal neural oscillations in demyelination symptom

Qitao Jin, Jiang Wang, Bin Deng, Xile Wei, Feng Dong, Huiyan Li, Yanqiu Che

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

Abstract

Fast axonal conduction of action potentials in mammals relies on myelin insulation. Demyelination can cause slowed, blocked, desynchronized, or paradoxically excessive spiking that underlies the symptoms observed in demyelination diseases. Feedback control via functional electrical stimulation (FES) seems to be a promising treatment modality in such diseases. However, there are challenges to implementing such method for neurons: high nonlinearity, biological tissue constrains and unobservable ion channel states. To address this problem, we propose an estimating and tracking control strategy for systems based on Kalman filter, in order to enhance the action potential propagation reliability of demyelinated neuron via FES. Our method could promote the design of new closed-loop electrical stimulation systems for patients suffering from different nerve system dysfunctions.

Original languageEnglish (US)
Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages4984-4988
Number of pages5
DOIs
StatePublished - Dec 1 2012
Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
Duration: Jul 6 2012Jul 8 2012

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Other

Other10th World Congress on Intelligent Control and Automation, WCICA 2012
CountryChina
CityBeijing
Period7/6/127/8/12

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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    Jin, Q., Wang, J., Deng, B., Wei, X., Dong, F., Li, H., & Che, Y. (2012). UKF-based state feedback control of abnormal neural oscillations in demyelination symptom. In WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation (pp. 4984-4988). [6359423] (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6359423