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Characterization of muscle activation and muscle synergism in the 'forward lunge' gait movement of badminton players using surface electromyography sensors

(Charakterisierung der Muskelaktivierung und des Muskelsynergismus beim Vorwärtssprung von Badmintonspielern mit Hilfe von Oberflächen-Elektromyographie-Sensoren)

The `forward lunge` is a crucial movement in badminton that demands effective muscle activation and coordination. This study compared the muscle activation patterns of professional and amateur male badminton players during this movement. A total of 24 players (12 professionals and 12 amateurs) participated, with surface electromyography (sEMG) used to measure the activity of 12 muscles on the right side during the lunge. The movement was divided into swing and support phases based on ground reaction force data. The sEMG signals were analyzed using integral EMG (iEMG) and root-mean-square (RMS) amplitude, and muscle synergy patterns were extracted via non-negative matrix factorization (NNMF) and k-means clustering. The results showed significantly higher iEMG and RMS values in muscles such as the gastrocnemius, biceps femoris, gluteus maximus, external oblique, and latissimus dorsi in professional players (p < 0.05), while no significant differences were observed in the tibialis anterior, vastus medialis, vastus lateralis, deltoideus, biceps, and soleus muscles. Muscle synergy analysis revealed three activation patterns in the professional group, compared to two in the amateur group. The additional synergy pattern in the professional players involved greater recruitment of lower limb and core muscles, especially during the support phase. In contrast, the amateur group showed earlier muscle activation but exhibited less efficient coordination. These findings suggest that muscle activation and coordination patterns in the forward lunge are influenced by playing level, highlighting the importance of lower limb and core training for badminton athletes to optimize performance and reduce injury risk.
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Bibliographische Detailangaben
Schlagworte:
Notationen:Spielsportarten Biowissenschaften und Sportmedizin Naturwissenschaften und Technik
Tagging:Mustererkennung
Veröffentlicht in:Sensors
Sprache:Englisch
Veröffentlicht: 2025
Online-Zugang:https://doi.org/10.3390/s25061644
Jahrgang:25
Heft:6
Seiten:1644
Dokumentenarten:Artikel
Level:hoch