Biosignal processing methods to explore the effects of side-dominance on patterns of bi- and unilateral standing stability in healthy young adults

Négyesi, János ✉ [Négyesi, János (Orvostudományok), author]; Petró, Bálint [Petró, Bálint (Biomechatronika), author] Department of Mechatronics, Optics and Informat... (BUTE / FME); Salman, Diane Nabil; Khandoker, Ahsan; Katona, Péter [Katona, Péter (biomechanika), author] Kineziológia Tanszék (HUSS / SETI); Wang, Ziheng; Almaazmi, Anfal Ibrahim Sanqour Qambar; Hortobágyi, Tibor [Hortobágyi, Tibor (Mozgástudomány), author] Department of Sportbiology (UP / FS / ISSPE); Somogy Megyei Kaposi Mór Oktató Kórház; Kineziológia Tanszék (HUSS / SETI); Váczi, Márk [Váczi, Márk (biomechanika), author] Department of Theory and Practice of Sports (UP / FS / ISSPE); Rácz, Kristóf [Rácz, Kristóf (Biomechanika, bio...), author] Department of Mechatronics, Optics and Informat... (BUTE / FME); Pálya, Zsófia [Pálya, Zsófia (Biomechanika, bio...), author] Department of Mechatronics, Optics and Informat... (BUTE / FME); Grand, László [Grand, László (Idegtudomány), author] Információs Technológiai és Bionikai Kar (PPCU); Kiss, Rita M. [Kiss, Rita (Biomechanika, Bio...), author] Department of Mechatronics, Optics and Informat... (BUTE / FME); Nagatomi, Ryoichi

English Article (Journal Article) Scientific
Published: FRONTIERS IN PHYSIOLOGY 1664-042X 13 Paper: 965702 , 19 p. 2022
  • SJR Scopus - Physiology (medical): Q1
Fundings:
  • (JSPS KAKENHI 21K17600)
Subjects:
  • Health sciences
We examined the effects of side-dominance on the laterality of standing stability using ground reaction force, motion capture ( MoCap ), and EMG data in healthy young adults. We recruited participants with strong right ( n = 15) and left ( n = 9) hand and leg dominance (side-dominance). They stood on one or two legs on a pair of synchronized force platforms for 50 s with 60 s rest between three randomized stance trials. In addition to 23 CoP -related variables, we also computed six MoCap variables representing each lower-limb joint motion time series. Moreover, 39 time- and frequency-domain features of EMG data from five muscles in three muscle groups were analyzed. Data from the multitude of biosignals converged and revealed concordant patterns: no differences occurred between left- and right-side dominant participants in kinetic, kinematic, or EMG outcomes during bipedal stance. Regarding single leg stance, larger knee but lower ankle joint kinematic values appeared in left vs right-sided participants during non-dominant stance. Left-vs right-sided participants also had lower medial gastrocnemius EMG activation during non-dominant stance. While right-side dominant participants always produced larger values for kinematic data of ankle joint and medial gastrocnemius EMG activation during non-dominant vs dominant unilateral stance, this pattern was the opposite for left-sided participants, showing larger values when standing on their dominant vs non-dominant leg, i.e., participants had a more stable balance when standing on their right leg. Our results suggest that side-dominance affects biomechanical and neuromuscular control strategies during unilateral standing.
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2024-12-08 19:04