FES based tremor suppression using repetitive control

E. H. Copur, C. Freeman, B. Chu, Dina Shona Laila

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Tremor is a neurological condition present in half of all multiple sclerosis and Parkinson cases, resulting in involuntary, debilitating movement oscillations. Functional electrical stimulation (FES) can be used to suppress tremor, but current approaches using classical control methods have shown significant limitations. This paper establishes the feasibility of using repetitive control (RC), giving rise to the first FES control structure that embeds learning from experience for the purpose of suppressing tremor. The paradigm is applied to suppress tremor at the wrist via FES regulated co-contraction of wrist extensors/flexors. Experimental evaluation is performed using a validated wrist-rig and results are compared against classical feedback control design to establish the efficacy of the approach.
Original languageEnglish
Pages6023 - 6028
DOIs
Publication statusPublished - 11 Feb 2016
EventIEEE Conference on Decision and Control - Osaka, Japan
Duration: 15 Dec 201518 Dec 2015

Conference

ConferenceIEEE Conference on Decision and Control
CountryJapan
CityOsaka
Period15/12/1518/12/15

Fingerprint

Feedback control

Bibliographical note

The full text is currently unavailable on the repository.

Keywords

  • Muscles
  • Wrist
  • Torque
  • Electrical stimulation
  • Steady-state
  • Contracts
  • Heuristic algorithms
  • neuromuscular stimulation
  • diseases
  • medical control systems
  • medical disorders
  • feedback control design
  • FES based tremor suppression
  • repetitive control
  • neurological condition
  • sclerosis
  • Parkinson
  • involuntary debilitating movement oscillations
  • functional electrical stimulation
  • FES control
  • FES regulated cocontraction
  • wrist extensors
  • wrist-rig
  • Modelling
  • Tremor suppression
  • Functional electrical stimulation
  • Repetitive control
  • Induced tremor

Cite this

Copur, E. H., Freeman, C., Chu, B., & Laila, D. S. (2016). FES based tremor suppression using repetitive control. 6023 - 6028. Paper presented at IEEE Conference on Decision and Control, Osaka, Japan. https://doi.org/10.1109/CDC.2015.7403166

FES based tremor suppression using repetitive control. / Copur, E. H.; Freeman, C.; Chu, B.; Laila, Dina Shona.

2016. 6023 - 6028 Paper presented at IEEE Conference on Decision and Control, Osaka, Japan.

Research output: Contribution to conferencePaper

Copur, EH, Freeman, C, Chu, B & Laila, DS 2016, 'FES based tremor suppression using repetitive control' Paper presented at IEEE Conference on Decision and Control, Osaka, Japan, 15/12/15 - 18/12/15, pp. 6023 - 6028. https://doi.org/10.1109/CDC.2015.7403166
Copur EH, Freeman C, Chu B, Laila DS. FES based tremor suppression using repetitive control. 2016. Paper presented at IEEE Conference on Decision and Control, Osaka, Japan. https://doi.org/10.1109/CDC.2015.7403166
Copur, E. H. ; Freeman, C. ; Chu, B. ; Laila, Dina Shona. / FES based tremor suppression using repetitive control. Paper presented at IEEE Conference on Decision and Control, Osaka, Japan.
@conference{da5617f039be4d6f8a17a0aa2ff571af,
title = "FES based tremor suppression using repetitive control",
abstract = "Tremor is a neurological condition present in half of all multiple sclerosis and Parkinson cases, resulting in involuntary, debilitating movement oscillations. Functional electrical stimulation (FES) can be used to suppress tremor, but current approaches using classical control methods have shown significant limitations. This paper establishes the feasibility of using repetitive control (RC), giving rise to the first FES control structure that embeds learning from experience for the purpose of suppressing tremor. The paradigm is applied to suppress tremor at the wrist via FES regulated co-contraction of wrist extensors/flexors. Experimental evaluation is performed using a validated wrist-rig and results are compared against classical feedback control design to establish the efficacy of the approach.",
keywords = "Muscles, Wrist, Torque, Electrical stimulation, Steady-state, Contracts, Heuristic algorithms, neuromuscular stimulation, diseases, medical control systems, medical disorders, feedback control design, FES based tremor suppression, repetitive control, neurological condition, sclerosis, Parkinson, involuntary debilitating movement oscillations, functional electrical stimulation, FES control, FES regulated cocontraction, wrist extensors, wrist-rig, Modelling, Tremor suppression, Functional electrical stimulation, Repetitive control, Induced tremor",
author = "Copur, {E. H.} and C. Freeman and B. Chu and Laila, {Dina Shona}",
note = "The full text is currently unavailable on the repository.; IEEE Conference on Decision and Control ; Conference date: 15-12-2015 Through 18-12-2015",
year = "2016",
month = "2",
day = "11",
doi = "10.1109/CDC.2015.7403166",
language = "English",
pages = "6023 -- 6028",

}

TY - CONF

T1 - FES based tremor suppression using repetitive control

AU - Copur, E. H.

AU - Freeman, C.

AU - Chu, B.

AU - Laila, Dina Shona

N1 - The full text is currently unavailable on the repository.

PY - 2016/2/11

Y1 - 2016/2/11

N2 - Tremor is a neurological condition present in half of all multiple sclerosis and Parkinson cases, resulting in involuntary, debilitating movement oscillations. Functional electrical stimulation (FES) can be used to suppress tremor, but current approaches using classical control methods have shown significant limitations. This paper establishes the feasibility of using repetitive control (RC), giving rise to the first FES control structure that embeds learning from experience for the purpose of suppressing tremor. The paradigm is applied to suppress tremor at the wrist via FES regulated co-contraction of wrist extensors/flexors. Experimental evaluation is performed using a validated wrist-rig and results are compared against classical feedback control design to establish the efficacy of the approach.

AB - Tremor is a neurological condition present in half of all multiple sclerosis and Parkinson cases, resulting in involuntary, debilitating movement oscillations. Functional electrical stimulation (FES) can be used to suppress tremor, but current approaches using classical control methods have shown significant limitations. This paper establishes the feasibility of using repetitive control (RC), giving rise to the first FES control structure that embeds learning from experience for the purpose of suppressing tremor. The paradigm is applied to suppress tremor at the wrist via FES regulated co-contraction of wrist extensors/flexors. Experimental evaluation is performed using a validated wrist-rig and results are compared against classical feedback control design to establish the efficacy of the approach.

KW - Muscles

KW - Wrist

KW - Torque

KW - Electrical stimulation

KW - Steady-state

KW - Contracts

KW - Heuristic algorithms

KW - neuromuscular stimulation

KW - diseases

KW - medical control systems

KW - medical disorders

KW - feedback control design

KW - FES based tremor suppression

KW - repetitive control

KW - neurological condition

KW - sclerosis

KW - Parkinson

KW - involuntary debilitating movement oscillations

KW - functional electrical stimulation

KW - FES control

KW - FES regulated cocontraction

KW - wrist extensors

KW - wrist-rig

KW - Modelling

KW - Tremor suppression

KW - Functional electrical stimulation

KW - Repetitive control

KW - Induced tremor

U2 - 10.1109/CDC.2015.7403166

DO - 10.1109/CDC.2015.7403166

M3 - Paper

SP - 6023

EP - 6028

ER -