Influence of the number of muscles and strides on selective motor control during gait in individuals with cerebral palsy

Gilad Sorek, Marije Goudriaan, Itai Schurr, Simon Henri Schless

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Objective: To evaluate the influence of the number of muscles and strides on estimating motor control accuracy during treadmill-gait, in individuals with cerebral palsy (CP). Methods: Bilateral lower limb electromyography data were extracted for 44 children/adolescents with CP. The number of synergy solutions required to explain 90 % of the variance (tVAF-threshold) and the total variance accounted for by one synergy (tVAF1) were calculated for a different number of strides (between 5 and 50) and muscles both unilaterally (four to seven) and bilaterally (eight to 14). The kappa and intraclass correlation coefficients were used to assess similarities in tVAF-threshold and tVAF1 between the different number of strides and muscle sets. Results: In both analyses, the number of muscles influenced the tVAF-threshold. Additionally, using <30 strides led to only substantial-moderate agreement with 50 strides (k < 0.80). In both analyses, the mean tVAF1 values demonstrated high-agreement between the different number of muscles (intraclass-correlations = 0.88–0.93) and strides (intraclass-correlations = 0.96–0.99); In the group level, it may result in an error of ≤2.3 %. However, in the individual level, using different number of muscles or <40 strides may result in an error of ≥6 %. Conclusion: Differing numbers of muscles and strides did not influence the group mean tVAF1 value, but it influenced the tVAF-threshold value. In addition, using different number of muscles or strides can lead to a large measurement error in the individual tVAF1 value.

Original languageEnglish
Article number102697
JournalJournal of Electromyography and Kinesiology
Volume66
DOIs
StatePublished - Oct 2022
Externally publishedYes

Keywords

  • Cerebral Palsy
  • Electromyography
  • Gait
  • Muscle Synergies
  • Reliability

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