👤 Saied Jalal Aboodarda

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Reza Ahmadi, Shahram Rasoulian, Hamidreza Heidary +4 more · 2026 · Annals of biomedical engineering · Springer · added 2026-04-24
Assessment of muscle coordination during cycling can provide insight into motor control strategies and movement efficiency. This study evaluated muscle synergy patterns as indicators of neuromuscular Show more
Assessment of muscle coordination during cycling can provide insight into motor control strategies and movement efficiency. This study evaluated muscle synergy patterns as indicators of neuromuscular coordination in the lower limbs across three power levels of cycling (LPL = Lowest Power Level, MPL = Middle Power Level, HPL = Highest Power Level). Twenty recreational cyclists performed a graded cycling test on a stationary bicycle ergometer. Electromyography (EMG) was recorded bilaterally from seven lower-limb muscles and muscle synergies were extracted using non-negative matrix factorization. The Synergy Index (SI) and Synergy Coordination Index (SCI) were calculated to assess muscle coordination patterns. Four muscle synergies were identified consistently across power levels, with changes in synergy composition and activation timing correlated with increasing muscular demands. At the dominant hip, SI remained consistent across power levels (0.50 ± 0.11 at LPL, 0.56 ± 0.15 at MPL, 0.54 ± 0.15 at HPL). At the dominant knee, SI decreased with increasing power (0.47 ± 0.07 at LPL to 0.34 ± 0.05 at HPL; p < 0.01, η These findings provide insight into how the central nervous system modulates its response to increasing mechanical demands. Combining synergy indices offers a promising approach to assess motor control, inform rehabilitation, and optimize performance in cycling tasks. Show less
📄 PDF DOI: 10.1007/s10439-026-04030-y
LPL