Suchergebnisse - Entropy

Zanin, M., Azzalini, A., Ranaweera, J., Till, K., Darrall-Jones, J., Roe, G. “… ., regularity of attacking shape [entropy]), and technical (e.g., passes) and physical (e.g., total distance) characteristics were quantified.  …”

Matthews, M., Johnston, W., Bleakley, C. M., Davies, R. J., Rankin, A. T., Webb, M., Caulfield, B. C., Archbold, H. A. P. “… Dependent variables were normalized reach distance and the sample entropy (SEn) of the 3 axes (x, y, and z). Results: Of the 195 participants, 100 reported a history of concussion.  …”

Caballero, C., Barbado, D., Urbán, T., García-Herrero, J. A., Moreno, F. J. “… Entropy …”

Robalo, R., Diniz, A., Fernandes, O., Passos, P. “… A variability analysis (correlation dimension, approximate entropy and Lyapunov exponent) was used to evaluate how an increased variability or stability, in a specific joint movement, contributes to a better adaptive behaviour when facing perceptual impairment.  …”

Moore, L. J., Harris, D. J., Sharpe, B. T., Vine, S. J., Wilson, M. R. “… ., other) locations, and exhibited lower entropy than the players. While search rate failed to predict decision-making accuracy, the time spent fixating central-, outer-, and non-pack locations, as well as entropy, were significant predictors.  …”

Leite, N. M., Leser, R., Gonçalves, B., Calleja-Gonzalez, J., Baca, A., Sampaio, J. “… The positional data were captured by the Ubisense Real Time Location System and analysed with non-linear signal processing methods (approximate entropy) and repeated measures ANOVA. There were differences in the regularity values between F¼ and FULL in distance to the basket and to the opponents` basket.  …”

de-Groot-Ferrando, A., Rios-Diaz, J., Martinez-Paya, J. J., del-Baño-Aledo, M. E. “… The morphometric parameters were: echogenicity, echogenicity variation, width, thickness and circularity; and GLCM textural features: contrast and entropy. Image analysis was performed with ImageJ software v1.44.  …”

de Saa Guerra, Y., Martin Gonzalez, J. M., Garcia-Manso, J. M. “… We studied 18 NBA and 14 ACB regular seasons. Both leagues´ entropy levels are high (NBA mean 0.984; ACB mean 0.979), which indicates high competitiveness, but the entropy of the ACB (from 0.972 to 0.987) shows more seasonal variability than the NBA (from 0.985 to 0.990).  …”

Gerhard, J., Lott, C., Hoos, O. “… Beneath traditional HRV parameters, fractal correlation properties and predictability of RR-intervals were analysed using short-term scaling exponent a1 of DFA and sample entropy (SampEn). A repeated measure ANOVA was used to reveal significant changes in HRV-parameters with increasing PE.  …”