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Repetitive Control Based Tremor Suppression Using Electrical Stimulation

Repetitive Control Based Tremor Suppression Using Electrical Stimulation. Engin Hasan Copur Dr. Bing Chu, Dr. Christopher Freeman, Dr. Dina Shona Laila University of Southampton. Outline. What is a tremor? Tremor Suppression Techniques Objective Simulation Results

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Repetitive Control Based Tremor Suppression Using Electrical Stimulation

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  1. Repetitive Control Based Tremor Suppression Using ElectricalStimulation Engin Hasan Copur Dr. Bing Chu, Dr. Christopher Freeman, Dr. Dina Shona Laila University of Southampton UKACC PhD Presentation Showcase

  2. Outline • What is a tremor? • Tremor Suppression Techniques • Objective • Simulation Results • Conclusion and Future Work UKACC PhD Presentation Showcase

  3. What is atremor? • Tremor is an approximately rhythmic, roughly sinusoidal involuntarymovement • 1.5 million patients in Europe have essential tremor (Sullivan et al., 2004) • Of these 1.5 million as many as one in three may have intention tremor (Louis et al., 2009) UKACC PhD Presentation Showcase

  4. Tremor Suppression Techniques • Invasive Methods: • Stereotactic Thalamotomy • Deep Brain Stimulation (DBS) • Non-invasive Methods: • Pharmacological treatment • Non-pharmacological treatment UKACC PhD Presentation Showcase

  5. Functional Electrical Stimulation (FES) • Previous treatment methods have some limitations • FES is potentially more effective and less dangerous than the others • An open challenge of using FES for tremor suppression is to employ a most effective closed-loop control algorithm in FES applications. UKACC PhD Presentation Showcase

  6. Objective • In my study, repetitive control is used and compared with some other methods to examine whether repetitive control has more potential than the others for suppressing tremor or not. UKACC PhD Presentation Showcase

  7. Simulation Results Wrist Model Gain Filter Time responses of output of closed-loop system with high-pass and band-pass filters UKACC PhD Presentation Showcase

  8. Simulation Results Repetitive Controller Wrist Model Time responses of output of closed-loop system with different repetitive control algortihms UKACC PhD Presentation Showcase

  9. Conclusion or summary or future work • Conclusion • Filters are able to remove tremor signal very slightly • RC is more efficient than filters • However both methods have some limitations • Future Work • All simulations in this study will be tested experimentally • The identification method of wrist model will be checked • The studies will be expanded to design a more robust control algorithm • All methods may be tested on MS patients diagnosed with intention tremor UKACC PhD Presentation Showcase

  10. Thank you! UKACC PhD Presentation Showcase

  11. References • Louis, E. D., Frucht, S. J., and Rios, E. (2009). Intention tremor in essential tremor: Prevalence and association with disease duration. Movement Disorders, 24(4):626–627. 4 • Sullivan, K. L., Hauser, R. A., and Zesiewicz, T. A. (2004). Essential tremor: Epidemiology, diagnosis, and treatment. The Neurologist, 10(5):250–258. UKACC PhD Presentation Showcase

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