20.500.12556/DKUM-88845 Materials for HybridNeuro webinar titled "Validation of results: statistical models and MU identification accuracy" This dataset contains a collection of teaching materials that were used in the HybridNeuro project webinar titled "Validation of results: statistical models and MU identification accuracy". The webinar was presented by Aleš Holobar and covered the complexities of motor unit (MU) identification accuracy, regression analysis and Bayesian models. The primary aim of the webinar was to spark a robust discussion within the scientific community, particularly focusing on the application and implications of linear mixed models and Bayesian regression in the realm of MU identification. The teaching materials include Matlab and R source code for statistical analysis of the included data, as well as three examples of MU identification results in CSV format (from both synthetic and experimental HDEMG signals). The presentation slides in PDF format are also included. The dataset is approximately 9 MB in size. HybridNeuro webinar teaching materials statistical models regression analysis motor unit identification matlab rstudio statistics surface high density electromyogram (HDEMG) tibialis anterior dataset material za poučevanje elektromiogrami true true false s. n. Angleški jezik Angleški jezik Neznano 2024-05-29 22:25:10 2024-05-30 22:33:33 2024-12-09 09:53:27 0000-00-00 00:00:00 2024 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.6 197835267 DKUM_introduction.pdf DKUM_introduction.pdf 1 5B9AA1C3F0524C7338E03B3150DDC534 3b737e0587cc44be2a274dc5fe37c074e01d6c485f10d6dba988ad1801d99d77 4c06c8b1-1dfb-11ef-8334-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=179902 HybridNeuro_Webinar_2024_Holobar_ValidationOfResults_materials_v1.0.0.zip HybridNeuro_Webinar_2024_Holobar_ValidationOfResults_materials_v1.0.0.zip 1 2726A2D309FE2C95776059874FEB6448 a23332b9b5cae89edebb40904f138ff5153dc8893d0027904a23217adbf1e6f2 b38e3b39-1dfb-11ef-8334-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=179903 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0