Estimating and minimizing movement artifacts in surface electromyogram

Karacan, İlhan; Arslan, Betilay Topkara; Karaoglu, Ayse; Aydın, Tuğba; Gray, Simon; Ungan, Pekcan; Türker, Kemal S.

doi:10.1016/j.jelekin.2023.102778

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…The study by Karacan et al 2023 highlighted the importance of using filters in sEMG studies [191]. For the masticatory muscles in sEMG studies, the recommended frequency limits are usually between 20 Hz and 500 Hz [10,192,193].…”

Section: Bandwidthmentioning

confidence: 99%

Surface Electromyography in Dentistry—Past, Present and Future

Zieliński,

Gawda

2024

JCM

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Surface electromyography (sEMG) is a technique for measuring and analyzing the electrical signals of muscle activity using electrodes placed on the skin’s surface. The aim of this paper was to outline the history of the development and use of surface electromyography in dentistry, to show where research and technical solutions relating to surface electromyography currently lie, and to make recommendations for further research. sEMG is a diagnostic technique that has found significant application in dentistry. The historical section discusses the evolution of sEMG methods and equipment, highlighting how technological advances have influenced the accuracy and applicability of this method in dentistry. The need for standardization of musculoskeletal testing methodology is highlighted and the needed increased technical capabilities of sEMG equipment and the ability to specify parameters (e.g., sampling rates, bandwidth). A higher sampling rate (the recommended may be 2000 Hz or higher in masticatory muscles) allows more accurate recording of changes in the signal, which is essential for accurate analysis of muscle function. Bandwidth is one of the key parameters in sEMG research. Bandwidth determines the range of frequencies effectively recorded by the sEMG system (the recommended frequency limits are usually between 20 Hz and 500 Hz in masticatory muscles). In addition, the increased technical capabilities of sEMG equipment and the ability to specify electromyographic parameters demonstrate the need for a detailed description of selected parameters in the methodological section. This is necessary to maintain the reproducibility of sEMG testing. More high-quality clinical trials are needed in the future.

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Section: Bandwidthmentioning

confidence: 99%

Surface Electromyography in Dentistry—Past, Present and Future

Zieliński,

Gawda

2024

JCM

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A comparison of electromyography techniques: surface versus intramuscular recording

Karacan,

Türker

2024

Eur J Appl Physiol

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Motion artifact variability in biomagnetic wearable devices

Ghahremani Arekhloo,

Wang,

Parvizi

et al. 2024

Front. Med. Technol.

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Motion artifacts can be a significant noise source in biomagnetic measurements when magnetic sensors are not separated from the signal source. In ambient environments, motion artifacts can be up to ten times stronger than the desired signals, varying with environmental conditions. This study evaluates the variability of these artifacts and the effectiveness of a gradiometer in reducing them in such settings. To achieve these objectives, we first measured the single channel output in varying magnetic field conditions to observe the effect of homogeneous and gradient background fields. Our analysis revealed that the variability in motion artifact within an ambient environment is primarily influenced by the gradient magnetic field rather than the homogeneous one. Subsequently, we configured a gradiometer in parallel and vertical alignment with the direction of vibration (X-axis). Our findings indicated that in a gradient background magnetic field ranging from 1 nT/mm to 10 nT/mm, the single-channel sensor output exhibited a change of 164.97 pT per mm unit increase, while the gradiometer output showed a change of only 0.75 pT/mm within the same range. Upon repositioning the gradiometer vertically (Y direction), perpendicular to the direction of vibration, the single-channel output slope increased to 196.85 pT, whereas the gradiometer output only increased by 1.06 pT/mm for the same range. Our findings highlight the influence of ambient environments on motion artifacts and demonstrate the potential of gradiometers to mitigate these effects. In the future, we plan to record biomagnetic signals both inside and outside the shielded room to compare the efficacy of different gradiometer designs under varying environmental conditions.

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Estimating and minimizing movement artifacts in surface electromyogram

Cited by 3 publications

References 17 publications

Surface Electromyography in Dentistry—Past, Present and Future

Surface Electromyography in Dentistry—Past, Present and Future

A comparison of electromyography techniques: surface versus intramuscular recording

Motion artifact variability in biomagnetic wearable devices

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