HybridNeuro at the International Electrotechnical and Computer Science Conference ERK 2025

On September 26th, 2025, HybridNeuro's young researcher, Nina Murks, from the University of Maribor, Slovenia, participated in the Electrotechnical and Computer Science ERK 2025 Conference. She presented her studies on motor unit analysis in high-density electromyography (hdEMG), actively contributing to the Biomedical Engineering section of the conference.

Nina presented the study "Manual editing significantly improves the accuracy of motor unit recruitment threshold and discharge rate assessment from synthetic high-density surface electromyograms". The research investigated how manual editing of synthetic hdEMG datasets affects the accuracy of key motor unit metrics. Results showed that editing significantly improves the estimation of recruitment threshold and discharge rate, while its impact on other parameters remains minimal. Factors such as contraction level and signal quality had a more significant impact on accuracy than operator experience or the type of investigated muscle.

By presenting these results at ERK 2025, HybridNeuro proudly showcased its innovative research to the international scientific community.