Revista Brasileira de Medicina do Esporte
Print version ISSN 1517-8692
TANK, Flávia Fernandes; SILVA, Gustavo Telles da; OLIVEIRA, Carlos Gomes de and GARCIA, Marco Antonio Cavalcanti. Influence of the inter-electrodes distance and cadence of movement in the surface EMG signal frequency domain. Rev Bras Med Esporte [online]. 2009, vol.15, n.4, pp. 272-276. ISSN 1517-8692. http://dx.doi.org/10.1590/S1517-86922009000500008.
Surface electromyography (SEMG), despite being widely used in biomechanical investigations, still presents massive questioning about the influence of the distance of the inter-electrodes (DIE) in the signal morphology, especially in isotonic contractions. Thus, much of the research developed is still limited to the laboratory, where it is possible to establish better control over the recording and analysis protocols, which is not commonly observed in the clinical-sportive practice. Therefore, the aim of this study was to examine the effects of two electrodes placement protocols and the performance of isotonic contractions in the SEMG sign frequency domain. Fifteen right-handed male subjects (aged 22.8 ± 3.5 years) performed dynamic contractions of the right brachial biceps with load estimated in 20% of the maximum voluntary contraction in three different cadences (30, 45 and 60 bpm). The SEMG signals were registered by two channels with DIEs of 4.2 and 13 cm, respectively. The SEMG signals assessment was based on the median frequency of the potential spectrum of the signal, calculated via fast Fourier transform. DIE and cadence were defined as factors (two-way ANOVA; α = 0.05). No statistical differences or any interaction between both factors were observed in the three cadences (P> 0.05). Regardless of the distance used between electrodes, an investigation in the SEMG signal frequency domain in dynamic tasks should be avoided, even from reduced DIEs, as suggested in the literature, since variations in the torque and muscular length may disrupt the signal and hence its interpretation.
Keywords : electromyography; digital signal processing; isotonic contraction.