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Repetitive Control of Electrical Stimulation for Tremor Suppression
Open accessAbstract
Tremor is a rapid involuntary movement often seen in patients with neurological conditions such as multiple sclerosis and Parkinson's disease. This debilitating oscillation can be suppressed by applying functional electrical stimulation (FES) within a closed-loop control system. However, conventional implementations use classical control methods and have proved capable of only limited performance. This paper establishes the feasibility of embedding repetitive control (RC) action to exploit the capability of learning from experience to completely suppress tremor at the wrist via FES regulated co-contraction of wrist extensors/flexors. A nonlinear model structure and associated identification procedure are first proposed to guarantee stability and performance of the RC system. Then a linearizing control approach is developed to facilitate transparent RC design, together with a mechanism to preserve patients' voluntary intention. Experimental evaluation is performed with both unimpaired and neurologically impaired participants using a validated wrist-rig. For the former group, a novel electromechanical system is employed to induce tremor artificially. Results are bench-marked against a well-known classical filtering technique to establish the efficacy of the RC approach. These confirm that the proposed control system with the developed model identification procedure can increase tremor suppression by 43.3% compared with conventional filtering. In addition, the mechanism reduces the interference of RC action with voluntary motion by 20.2% compared with conventional filtering.
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“One study involving a single individual exhibiting intention tremor, due to MS, was identified that reported the impact of FES suppression on the voluntary motion in a step-target tracking task [32].”
From Controlling a motorized orthosis to follow elbow volitional movement: tests with individuals with pathological tremor (2019) · cites this paper as [32]
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Cites
Deuschl, G., Raethjen, J., Lindemann, M., & Krack, P. (2001) · Muscle & Nerve · doi:10.1002/mus.1063 · Cited by 508 · cited 1×
“2771327 within the central nervous system [3], tremulous movement often results in serious impairment of functional abilities which may contribute to feelings of social isolation and depression [4].”
BackgroundAttenuation of pathological tremors by functional electrical stimulation I: Method
Prochazka, A., Elek, J., & Javidan, M. (1992) · Annals of Biomedical Engineering · doi:10.1007/bf02368521 · Cited by 150
A neuroprosthesis for tremor management through the control of muscle co-contraction
Gallego, J. Á., Rocon, E., Belda-Lois, J. M., & Pons, J. L. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-36 · Cited by 81 · cited 1×
“In [17] muscle co-contraction was used to increase the stiffness and viscosity of an antagonist muscle pair, thereby reducing tremor amplitude significantly.”
MethodAttenuation of pathological tremors by functional electrical stimulation II: Clinical evaluation
Javidan, M., Elek, J., & Prochazka, A. (1992) · Annals of Biomedical Engineering · doi:10.1007/bf02368522 · Cited by 80 · cited 1×
“In [14], conventional high-pass and bandpass filters were applied in closed-loop to suppress tremor at the wrist or elbow”
MethodOn the Use of Fixed‐Intensity Functional Electrical Stimulation for Attenuating Essential Tremor
Bó, A. P. L., Azevedo‐Coste, C., Geny, C., Poignet, P., & Fattal, C. (2014) · Artificial Organs · doi:10.1111/aor.12261 · Cited by 40
Biomechanical loading as an alternative treatment for tremor: a review of two approaches
Rocon, E., Gallego, J. Á., Belda-Lois, J. M., Benito-León, J., & Pons, J. L. (2012) · Tremor and Other Hyperkinetic Movements · doi:10.5334/tohm.107 · Cited by 26
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Cited by
Sorted by citations
A Soft Exoskeleton for Tremor Suppression Equipped with Flexible Semiactive Actuator
Zahedi, A., Zhang, B., Yi, A., & Zhang, D. (2021) · Soft Robotics · doi:10.1089/soro.2019.0194 · Cited by 57
Herrnstadt, G., McKeown, M. J., & Menon, C. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-019-0484-1 · Cited by 30
Zhou, Y., Habibollahi, Z., Ibrahim, A., Jenkins, M. E., Naish, M. D., & Trejos, A. L. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3211450 · Cited by 8
Metadata
- Authors
- Copur, E. H., Freeman, C. T., Chu, B., & Laila, D. S.
- Affiliations
- University of Southampton (GB)
- Venue
- IEEE Transactions on Control Systems Technology
- Published
- 2019-03
- Volume
- 27
- Issue
- 2
- Pages
- 540-552
- ISSN
- 1063-6536 (ISSN-L)
- 1558-0865
- 2374-0159
- OpenAlex
- W2528806420
- Cited by
- 38
- References
- 6
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 6 · 2021: 7 · 2020: 8 · 2019: 2
- FWCI
- 2.06
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- IEEE Transactions on Control Systems Technology (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Pure (Coventry University) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Iterative Learning Control Systems
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- tremor suppression, repetitive control, functional electrical stimulation, feedback control, nonlinear system identification, linearizing control, Parkinson's disease, multiple sclerosis, nonlinear models
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- Copur, E. H., Freeman, C. T., Chu, B., & Laila, D. S. (2019). Repetitive Control of Electrical Stimulation for Tremor Suppression. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2017.2771327