» Articles » PMID: 24981060

The Application of Precisely Controlled Functional Electrical Stimulation to the Shoulder, Elbow and Wrist for Upper Limb Stroke Rehabilitation: a Feasibility Study

Overview
Publisher Biomed Central
Date 2014 Jul 2
PMID 24981060
Citations 19
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Functional electrical stimulation (FES) during repetitive practice of everyday tasks can facilitate recovery of upper limb function following stroke. Reduction in impairment is strongly associated with how closely FES assists performance, with advanced iterative learning control (ILC) technology providing precise upper-limb assistance. The aim of this study is to investigate the feasibility of extending ILC technology to control FES of three muscle groups in the upper limb to facilitate functional motor recovery post-stroke.

Methods: Five stroke participants with established hemiplegia undertook eighteen intervention sessions, each of one hour duration. During each session FES was applied to the anterior deltoid, triceps, and wrist/finger extensors to assist performance of functional tasks with real-objects, including closing a drawer and pressing a light switch. Advanced model-based ILC controllers used kinematic data from previous attempts at each task to update the FES applied to each muscle on the subsequent trial. This produced stimulation profiles that facilitated accurate completion of each task while encouraging voluntary effort by the participant. Kinematic data were collected using a Microsoft Kinect, and mechanical arm support was provided by a SaeboMAS. Participants completed Fugl-Meyer and Action Research Arm Test clinical assessments pre- and post-intervention, as well as FES-unassisted tasks during each intervention session.

Results: Fugl-Meyer and Action Research Arm Test scores both significantly improved from pre- to post-intervention by 4.4 points. Improvements were also found in FES-unassisted performance, and the amount of arm support required to successfully perform the tasks was reduced.

Conclusions: This feasibility study indicates that technology comprising low-cost hardware fused with advanced FES controllers accurately assists upper limb movement and may reduce upper limb impairments following stroke.

Citing Articles

Active, Actuated, and Assistive: a Scoping Review of Exoskeletons for the Hands and Wrists.

Galbert A, Buis A Can Prosthet Orthot J. 2024; 7(1):43827.

PMID: 39628640 PMC: 11609922. DOI: 10.33137/cpoj.v7i1.43827.


Synchronized application of closed-loop NMES and precision tACS in post-stroke hand rehabilitation: a protocol of neurorehabilitation trial.

Tashiro S, Takemi M, Yamada S, Tsuji T Ther Adv Chronic Dis. 2024; 15:20406223241297397.

PMID: 39575381 PMC: 11580065. DOI: 10.1177/20406223241297397.


Effect of functional electrical stimulation-based mirror therapy using gesture recognition biofeedback on upper extremity function in patients with chronic stroke: A randomized controlled trial.

Kim Y, Song J, Park S, Lee M Medicine (Baltimore). 2024; 102(52):e36546.

PMID: 38206692 PMC: 10754587. DOI: 10.1097/MD.0000000000036546.


The concepts of muscle activity generation driven by upper limb kinematics.

Schmidt M, Glasmachers T, Iossifidis I Biomed Eng Online. 2023; 22(1):63.

PMID: 37355651 PMC: 10290331. DOI: 10.1186/s12938-023-01116-9.


Rehabilitation of Upper Limb Motor Impairment in Stroke: A Narrative Review on the Prevalence, Risk Factors, and Economic Statistics of Stroke and State of the Art Therapies.

Anwer S, Waris A, Gilani S, Iqbal J, Shaikh N, Pujari A Healthcare (Basel). 2022; 10(2).

PMID: 35206805 PMC: 8872602. DOI: 10.3390/healthcare10020190.


References
1.
Feigin V, Barker-Collo S, McNaughton H, Brown P, Kerse N . Long-term neuropsychological and functional outcomes in stroke survivors: current evidence and perspectives for new research. Int J Stroke. 2008; 3(1):33-40. DOI: 10.1111/j.1747-4949.2008.00177.x. View

2.
Johnson M . Recent trends in robot-assisted therapy environments to improve real-life functional performance after stroke. J Neuroeng Rehabil. 2006; 3:29. PMC: 1764881. DOI: 10.1186/1743-0003-3-29. View

3.
Freeman C, Exell T, Meadmore K, Hallewell E, Hughes A . Computational models of upper-limb motion during functional reaching tasks for application in FES-based stroke rehabilitation. Biomed Tech (Berl). 2014; 60(3):179-91. DOI: 10.1515/bmt-2014-0011. View

4.
ODwyer S, OKeeffe D, Coote S, Lyons G . An electrode configuration technique using an electrode matrix arrangement for FES-based upper arm rehabilitation systems. Med Eng Phys. 2005; 28(2):166-76. DOI: 10.1016/j.medengphy.2005.03.010. View

5.
Micera S, Keller T, Lawrence M, Morari M, Popovic D . Wearable neural prostheses. Restoration of sensory-motor function by transcutaneous electrical stimulation. IEEE Eng Med Biol Mag. 2010; 29(3):64-9. DOI: 10.1109/MEMB.2010.936547. View