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

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

3. Univ logo What is a tremor?  Tremor is an approximately rhythmic, roughly sinusoidal involuntary movement  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 Slide 3

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

5. Univ logo 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 Slide 5

6. Univ logo UKACC PhD Presentation Showcase Slide 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.

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

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

9. Univ logo UKACC PhD Presentation Showcase Slide 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

10. Univ logo Thank you! UKACC PhD Presentation Showcase Slide 10

11. Univ logo 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 Slide 11