Advancing lower-limb post-stroke rehabilitation: leveraging muscle synergies and multichannel functional electrical stimulations

Xiaoyu Guo, Kelvin Y. S. Lau, Roy T. H. Cheung, Ning Lan, Rosa H. M. Chan, Vincent C. K. Cheung

Research output: Chapter in Book / Conference PaperChapterpeer-review

Abstract

Functional electrical stimulation of muscles (FES) during task performance
is a promising intervention that may effectively restore post-stroke motor
impairment. Here, we characterize the efficacy of multi-muscle FES for gait rehabilitation
when the FES stimulus is personalized based on the altered muscle synergies
of the stroke survivor. Chronic hemiparetic stroke survivors were assigned
to the FES (N = 23) or sham (N = 10) group. Customized FES (5 sessions) was
applied to 6–7 muscles of the affected leg during overground walking (>600 steps
per session). Individualized FES stimuli were constructed as muscle activities
re-composed from selected muscle synergies of age-matched healthy subjects.
Synergy-based FES induced higher increases in the lower-limb Fugl-Meyer score
than sham FES. Significant improvements in knee flexion and ankle dorsiflexion
were also observed in the FES group. More importantly, the subjects’ synergies
selected for design of the FES stimuli had higher similarity to healthy synergies
after FES in the FES group. Our results indicate that synergy-based FES may
lead to motor functional improvement by promoting the recruitment of closer-tonormal
muscle synergies for gait, thereby resulting in more naturalistic gait after
FES.
Original languageEnglish
Title of host publicationConverging Clinical and Engineering Research on Neurorehabilitation V
Subtitle of host publicationProceedings of the 6th International Conference on Neurorehabilitation (ICNR 2024), November 5–8, 2024, La Granja, Spain
EditorsJose L. Pons, Jesus Tornero, Metin Akay
Place of PublicationSwitzerland
PublisherSpringer Science and Business Media Deutschland GmbH
Pages525-529
Number of pages5
Volume2
ISBN (Electronic)9783031775840
ISBN (Print)9783031775833
DOIs
Publication statusPublished - 2024

Publication series

NameBiosystems and Biorobotics
Volume32
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

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