1. Materials for HybridNeuro webinar titled "Validation of results: statistical models and MU identification accuracy"Aleš Holobar, Nina Murks, 2024, complete scientific database of research data Abstract: 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.
Keywords: HybridNeuro, webinar, teaching materials, statistical models, regression analysis, motor unit identification, matlab, rstudio, statistics, surface high density electromyogram (HDEMG), tibialis anterior, dataset
Published in DKUM: 30.05.2024; Views: 221; Downloads: 25
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2. Webinar: Data Management and EthicsMilan Ojsteršek, Matjaž Divjak, 2024, scientific film, scientific sound or video publication Abstract: Video recording and presentation slides of a lecture by Milan Ojsteršek and Matjaž Divjak for the HybridNeuro webinar "Data Management and Ethics", which was held online on April 8th 2024 at Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia.
More info including additional materials (slides, example dataset): https://www.hybridneuro.feri.um.si/webinars/data_management_and_ethics.html
The HybridNeuro project combines the expertise of leading European partners in the field of Neural Interfaces to set up new pathways of analyzing human motor system and human movements and transfer the academic research into clinical and industrial practice. Link: https://www.hybridneuro.feri.um.si/
This project has received funding from the Horizon Europe Research and Innovation Programme under GA No. 101079392, as well as UK Research and Innovation organisation (GA No. 10052152).
This video is available under the Creative Commons Attribution 4.0 International licence (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
Keywords: HybridNeuro project, webinar, presentation, data management, data annotation, open science, open access, data repository, FAIR data, metadata
Published in DKUM: 09.05.2024; Views: 201; Downloads: 7
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3. Načrtovanje in izvedba učenja na daljavoŽan Kocen, 2016, undergraduate thesis Abstract: V zadnjih časih se ogromno vlaga v e-izobraževanje, saj je za mnogo ljudi, ki živijo v odročnejših krajih, edini način, da lahko pridobijo izobrazbo. Opredelil bom znanja in spretnosti, potrebne za pripravo, načrtovanje in izvedbo učenja na daljavo. Glede na najdene podatke bom pretvoril učno uro, ki sem jo izvedel v tradicionalni učilnici, v MOOC e-tečaj na platformi Udemy. Tako bom praktično preizkusil in primerjal učenje v klasični učilnici z učenjem na daljavo. Velik izziv za današnje učitelje je, kako uporabiti orodja, da bo učno okolje čim bolj prilagojeno vsakemu posamezniku.
Keywords: izobraževanje na daljavo, e-izobraževanje, MOOCS, Udemy, LMS, Keller, Bloom, Wiggins, e-tečaj, asinhrono, sinhrono, virtualna, učilnica, webinar
Published in DKUM: 09.09.2016; Views: 2293; Downloads: 422
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