The assessment and physiological register of muscular tissue can be done through mechanomyography (MMG). The oscillation of muscular displacement is acquired on the skin surface, insomuch that the skinfold thickness can influence in MMG response. The aim of this study is verify the influence of different skinfold thickness on MMG features responses. Triaxial MMG was used over the rectus femoris muscle belly of ten volunteers during maximal voluntary contraction. MMG spectral and temporal analyses were made and specific features (root mean square (RMS), Integral (Int), mean frequency (MF), zero-crossing (ZC), and μ3) were correlated with skinfold thickness. Moderate and high negative correlation occurred to MMG mean frequency in axes X (ρ = - 0.57) and Y (ρ = -0.75), respectively. As the fat tissue behaves like a low-pass filter, i.e. the thicker his skinfold the shorter its bandwidth; therefore, the skinfold thicknesses result in lower frequency responses. So, hereafter these results may be applied to calibrate MMG responses as biofeedback systems in, for instance, neuroprostheses. © 2013 Springer-Verlag.39 IFMBE 20302033Scheeren, E., Krueger-Beck, E., Nogueira-Neto, G.N., Nohama, P., Button, V.L.D.S.N., Wrist Movement Characterization by Mechanomyography Technique (2010) J Med Biol Eng, 30 (6), pp. 373-380Nogueira-Neto, G.N., Müller, R.W., Salles, F.A., Nohama, P., Button, V.L.S., Mechanomyographic sensor: A triaxial accelerometry approach International Joint Conference on Biomedical Engineering Systems and Technology, Funchal, 2008, pp. 176-179Beck, T.W., Housh, T.J., Fry, A.C., Cramer, J.T., Weir, J.P., Schilling, B.K., Falvo, M.J., Moore, C.A., A wavelet-based analysis of surface mechanomyographic signals from the quadriceps femoris (2009) Muscle Nerve, 39, pp. 355-363Yungher, D.A., Wininger, M.T., Barr, J.B., Craelius, W., Threlkeld, A.J., Surface muscle pressure as a measure of active and passive behavior of muscles during gait (2011) Med Eng Phys, 33 (4), pp. 464-471Krueger, E., Scheeren, E.M., Nogueira-Neto, G.N., Button, V.L.C.S.N., Nohama, P., JobbÃgy, Ã.K., Magjarevic, R., FES Application with Different off Times in Paraplegic Subject during Open Chain Movement: Case Report 5th European Conference of the International Federation for Medical and Biological Engineering, Hungary, 2011, pp. 765-768Yu, N.Y., Chang, S.H., The Characterization of Contractile and Myoelectric Activities in Paralyzed Tibialis Anterior Post Electrically Elicited Muscle Fatigue (2010) Artif Organs, 34 (4), pp. E117-E121Krueger, E., Scheeren, E., Chu, G.F.D., Nogueira-Neto, G.N., Button, V.L.D.S.N., Mechanomyography analysis with 0.2 s and 1.0 s time delay after onset of contraction BIOSTEC 2010: 3rd International Joint Conference on Biomedical Engineering Systems and Technologies, Valence, 2010, pp. 296-299Popovic, M.R., Thrasher, T.A., Neuroprostheses (2004) Encyclopedia of Biomaterials and Biomedical Engineering, pp. 1056-1065. , G. L. Bowlin and G. Wnek, Eds. New York: Informa HealthcareVedsted, P., Søgaard, K., Blangsted, A.K., Madeleine, P., Sjøgaard, G., Biofeedback effectiveness to reduce upper limb muscle activity during computer work is muscle specific and time pressure dependent (2011) J Electromyogr Kinesiol, 21 (1), pp. 49-58Silva, J., Chau, T., Coupled microphone-accelerometer sensor pair for dynamic noise reduction in MMG signal recording (2003) Electron. Lett., 39 (21), pp. 1496-1498Beck, T.W., Housh, T.J., Johnson, G.O., Cramer, J.T., Weir, J.P., Coburn, J.W., Malek, M.H., Does the frequency content of the surface mechanomyographic signal reflect motor unit firing rates? A brief review (2007) Journal of Electromyography and Kinesiology, 17 (1), pp. 1-13. , DOI 10.1016/j.jelekin.2005.12.002, PII S1050641106000058Matsunaga, T., Shimada, Y., Sato, K., Muscle fatigue from intermittent stimulation with low and high frequency electrical pulses (1999) Archives of Physical Medicine and Rehabilitation, 80 (1), pp. 48-53. , DOI 10.1016/S0003-9993(99)90306-4Baptista, R.R., Scheeren, E.M., Macintosh, B.R., Vaz, M.A., Low-frequency fatigue at maximal and submaximal muscle contractions (2009) Braz J Med Biol Res, 42, pp. 380-385Madeleine, P., Ge, H.-Y.H.-Y., Jaskolska, A., Farina, D., Jaskolski, A., Arendt-Nielsen, L., Spectral moments of mechanomyographic signals recorded with accelerometer and microphone during sustained fatiguing contractions (2006) Medical and Biological Engineering and Computing, 44 (4), pp. 290-297. , DOI 10.1007/s11517-006-0036-2Becker, I., Baxter, G.D., Woodley, S.J., The vastus lateralis muscle: An anatomical investigation (2010) Clinical Anatomy, 23, pp. 575-585Orizio, C., Muscle sound: Bases for the introduction of a mechanomyographic signal in muscle studies (1993) Crit Rev Biomed Eng, 21 (3), pp. 201-243Zuniga, J.M., Housh, T.J., Camic, C.L., Russell Hendrix, C., Bergstrom, H.C., Schmidt, R.J., Johnson, G.O., The effects of skinfold thicknesses and innervation zone on the mechanomyographic signal during cycle ergometry (2011) J Electromyogr Kinesiol, 25 (5), pp. 789-794Polato, D., Carvalho, M.C., Garcia, M.A.C., Efeitos de dois parâmetros antropométricos no comportamento do sinal mecanomiográfico em testes de força muscular (2008) Rev Bras Med Esporte, 14 (3), pp. 221-226Jaskólska, A., Brzenczek, W., Kisiel-Sajewicz, K., Kawczynski, A., Marusiak, J., Jaskólski, A., The effect of skinfold on frequency of human muscle mechanomyogram (2004) J Electromyogr Kinesiol, 14 (2), pp. 217-225