EMG ONSET DETECTION - A HIDDEN FACTOR

Mateusz Magda ()
Additional contact information
Mateusz Magda: Computer Science & Management, Wroclaw University of Science and Technology, Wroclaw

CBU International Conference Proceedings, 2016, vol. 4, issue 0, 873-878

Abstract: Electromyographic (EMG) examination has gained popularity and was deployed in both practical and research fields. This technology enables one to observe the voltage generated by a neuromuscular system and to interpret body movements. Over time, it has been proved highly difficult to precisely determine the beginning of a muscle contraction. A relatively low signal to noise ratio, which is even smaller in case of a surface electromyography (sEMG), complicates this task, and more advanced onset detection algorithms were proposed. Despite the existence of statistically advanced algorithms, proposed in recent years, in many cases a manual onset detection performed by an EMG specialist remains in use, mainly due to lack of reliable solutions. This paper presents a hidden factor, not found in the literature until now, which directly relates subsequent voltage values with muscle activity. Observation of this parameter helps detect muscle onset precisely. Combined with other statistical factors, it can shed light on a totally new, enhanced branch of muscle onset estimators. This study conducts a numerical comparison to follow the hypothesis that the examined factor is correlated with a muscle contraction state.

Keywords: EMGMuscle; Onset; Detection; Factor (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ojs.journals.cz/index.php/CBUIC/article/view/867/958 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aad:iseicj:v:4:y:2016:i:0:p:873-878

DOI: 10.12955/cbup.v4.867

Access Statistics for this article

More articles in CBU International Conference Proceedings from ISE Research Institute
Bibliographic data for series maintained by Petr Hájek ().