Aleš Holobar (Avtor), Nina Murks (Avtor)

Povzetek

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.

Ključne besede

material za poučevanje;elektromiogrami;HybridNeuro;webinar;teaching materials;statistical models;regression analysis;motor unit identification;HDEMG;surface high density electromyogram;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 2.20 - Raziskovalni podatki
Organizacija: UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Založnik: s. n.
UDK: 004.6
COBISS: 197835267 Povezava se bo odprla v novem oknu
Št. ogledov: 221
Št. prenosov: 19
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarne ključne besede: material za poučevanje;elektromiogrami;
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: 1 spletni vir (datoteka PDF obsega 4 str.))
ID: 23890429