FES-based upper-limb stroke rehabilitation with advanced sensing and control

M. Kutlu, C. T. Freeman, E. Hallewell, A.-M. Hughes, Dina Shona Laila

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Functional electrical stimulation (FES) has shown effectiveness in restoring movement post-stroke when applied to assist participants' voluntary action during repeated, motivating tasks. Recent clinical trials have used advanced controllers that precisely adjust FES to assist functional reach and grasp tasks, showing significant reduction in impairment. The system reported in this paper advances the state-of-the-art by: (1) integrating an FES electrode array on the forearm to assist complex hand and wrist gestures; (2) utilising non-contact PrimeSense and Kinect sensors to accurately record the arm, hand and wrist position in 3D; and (3) employing an interactive touch table to present motivating virtual reality (VR) tasks. Feasibility of the system has been evaluated in clinical trials with 4 hemiparetic, chronic stroke participants. Results show that performance error reduced across all tasks and confirm the feasibility of applying precisely controlled FES to multiple muscle groups in the upper limb using advanced sensors, controllers and array hardware. This low-cost, compact technology hence has potential to be transferred to participants' homes in order to reduce upper-limb impairment following chronic stroke.
Original languageEnglish
Pages253-258
DOIs
Publication statusPublished - 1 Oct 2015
EventIEEE International Conference on Rehabilitation Robotics - , Singapore
Duration: 11 Aug 201514 Aug 2015

Conference

ConferenceIEEE International Conference on Rehabilitation Robotics
Abbreviated titleICORR
CountrySingapore
Period11/08/1514/08/15

Fingerprint

Patient rehabilitation
Controllers
Sensors
Virtual reality
Muscle
Hardware
Electrodes
Costs

Bibliographical note

The full text is currently unavailable on the repository.

Keywords

  • Joints
  • Electrodes
  • Wrist
  • Muscles
  • Arrays
  • Hardware
  • Sensors
  • virtual reality
  • biosensors
  • electrodes
  • medical computing
  • medical control systems
  • patient rehabilitation
  • chronic stroke
  • upper-limb stroke rehabilitation
  • functional electrical stimulation
  • movement post-stroke
  • FES electrode array
  • hand gesture
  • wrist gesture
  • noncontact PrimeSense
  • Kinect sensors
  • interactive touch table
  • performance error
  • upper limb
  • array hardware
  • upper-limb impairment
  • Sensing Technology
  • Stroke Rehabilitation
  • Functional Electrical Stimulation
  • Iterative Learning Control

Cite this

Kutlu, M., Freeman, C. T., Hallewell, E., Hughes, A-M., & Laila, D. S. (2015). FES-based upper-limb stroke rehabilitation with advanced sensing and control. 253-258. Paper presented at IEEE International Conference on Rehabilitation Robotics, Singapore. https://doi.org/10.1109/ICORR.2015.7281208

FES-based upper-limb stroke rehabilitation with advanced sensing and control. / Kutlu, M.; Freeman, C. T.; Hallewell, E.; Hughes, A.-M.; Laila, Dina Shona.

2015. 253-258 Paper presented at IEEE International Conference on Rehabilitation Robotics, Singapore.

Research output: Contribution to conferencePaper

Kutlu, M, Freeman, CT, Hallewell, E, Hughes, A-M & Laila, DS 2015, 'FES-based upper-limb stroke rehabilitation with advanced sensing and control' Paper presented at IEEE International Conference on Rehabilitation Robotics, Singapore, 11/08/15 - 14/08/15, pp. 253-258. https://doi.org/10.1109/ICORR.2015.7281208
Kutlu M, Freeman CT, Hallewell E, Hughes A-M, Laila DS. FES-based upper-limb stroke rehabilitation with advanced sensing and control. 2015. Paper presented at IEEE International Conference on Rehabilitation Robotics, Singapore. https://doi.org/10.1109/ICORR.2015.7281208
Kutlu, M. ; Freeman, C. T. ; Hallewell, E. ; Hughes, A.-M. ; Laila, Dina Shona. / FES-based upper-limb stroke rehabilitation with advanced sensing and control. Paper presented at IEEE International Conference on Rehabilitation Robotics, Singapore.
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