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A JOURNAL PAPER WITH THE HIGHEST IMPACT FACTOR AT THE INSTITUTE OF COMPUTER SCIENCE

Publish date: 2017/09/19 | Expire date: 2017/10/19 | Author: Pia Prebevšek

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A study by the research group 07896-010 (System Software Laboratory) has been published in a distinguished journal "Proceedings of the IEEE" with the Impact Factor JCR IF (2016): 9.237. This paper has currently the highest impact factor at the Institute of Computer Science (https://cs.feri.um.si/en/research-activities/publications/).

D. FARINA, A. HOLOBAR. Characterization of human motor units from surface EMG decomposition. Proceedings of the IEEE, 2016, 104(2): 353-373, JCR IF (2016): 9.237

Motor units are the smallest functional units of our movements. The study of their activation provides a window into the mechanisms of motor control of humans. The classic methods for motor unit investigations date to several decades ago. They are based on invasive recordings with selective needle electrodes. Conversely, the non-invasive (surface) EMG has been commonly processed as an interference signal with the information extraction limited to its global characteristics that are only crudely associated to the underlying motor unit activities. In the last decade, we proposed the methods for reliable extraction of individual motor unit activities from the interference surface EMG signal. In this review, we describe these methods and their applications in human-machine interfaces. This study has been published in a distinguished IEEE Proceedings journal with the JCR impact factor of 9.237.