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Can I read Linear vs. non-linear mapping of peak power using surface EMG features during dynamic fatiguing contractions on EtoBox?
Linear vs. non-linear mapping of peak power using surface EMG features during dynamic fatiguing contractions by M. Gonzalez-Izal; A. Malanda; I. Rodríguez-Carreño; I. Navarro-Amézqueta; E.M. Gorostiaga; D. Farina; D. Falla; M. Izquierdo is a Medicine article available to read on EtoBox.
What is Linear vs. non-linear mapping of peak power using surface EMG features during dynamic fatiguing contractions about?
This study compares a non-linear (neural network) and a linear (linear regression) power mapping using a set of features of the surface electromyogram recorded from the vastus medialis and lateralis muscles. Fifteen healthy participants performed 5 sets of 10 repetitions leg press using the individual maximum load corresponding what they could perform 10 times (10RM) with 120 s of rest between them. The following sEMG variables were computed from each extension contraction and used as inputs to both approaches: mean average value (MAV), median frequency (Fmed), the spectral parameter proposed by Dimitrov (FInsm5), average (over the observation interval) of the instantaneous mean frequency obtained from a Choi-Williams distribution (MFM), and wavelet indices ratio between moments at different scales (WIRM1551, WIRM1M51, WIRM1522, WIRE51, and WIRW51). The nonlinear mapping (neural network) provided higher correlation coefficients and signal-to-noise ratios values (although not significantly different) between the actual and the estimated changes of power compared to linear mapping (linear regression) using the sEMG variables alone and a combination of WIRW51 and MFM (obtained by a st
Who reads Linear vs. non-linear mapping of peak power using surface EMG features during dynamic fatiguing contractions?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- M. Gonzalez-Izal; A. Malanda; I. Rodríguez-Carreño; I. Navarro-Amézqueta; E.M. Gorostiaga; D. Farina; D. Falla; M. Izquierdo
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0021-9290)
- Published
- 2010
- Language
- EN
- Field
- Medicine (Health Sciences)