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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kutlu, M. Freeman, C.T. Hallewell, E. Hughes, A.-M. Laila, D.S. |
| Copyright Year | 2015 |
| Description | Author affiliation: Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK (Kutlu, M.; Freeman, C.T.) || Health Sci., Univ. of Southampton, Southampton, UK (Hallewell, E.; Hughes, A.-M.) || Eng. Sci., Univ. of Southampton, Southampton, UK (Laila, D.S.) |
| 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. |
| Starting Page | 253 |
| Ending Page | 258 |
| File Size | 486090 |
| Page Count | 6 |
| File Format | |
| ISSN | 19457901 |
| e-ISBN | 9781479918089 |
| DOI | 10.1109/ICORR.2015.7281208 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-11 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrodes Wrist Iterative Learning Control Functional Electrical Stimulation Muscles Stroke Rehabilitation Hardware Sensors Arrays Joints Sensing Technology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Rehabilitation Control and Systems Engineering Electrical and Electronic Engineering |
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