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Article

Motion Artifacts in Dynamic EEG Recordings: Experimental Observations, Electrical Modelling, and Design Considerations

by
Alessandra Giangrande
1,2,
Alberto Botter
1,
Harri Piitulainen
2 and
Giacinto Luigi Cerone
1,*
1
Laboratory of Neuromuscular System and Rehabilitation Engineering, Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy
2
Faculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(19), 6363; https://doi.org/10.3390/s24196363
Submission received: 23 August 2024 / Revised: 19 September 2024 / Accepted: 27 September 2024 / Published: 30 September 2024
(This article belongs to the Section Physical Sensors)

Abstract

Despite the progress in the development of innovative EEG acquisition systems, their use in dynamic applications is still limited by motion artifacts compromising the interpretation of the collected signals. Therefore, extensive research on the genesis of motion artifacts in EEG recordings is still needed to optimize existing technologies, shedding light on possible solutions to overcome the current limitations. We identified three potential sources of motion artifacts occurring at three different levels of a traditional biopotential acquisition chain: the skin-electrode interface, the connecting cables between the detection and the acquisition systems, and the electrode-amplifier system. The identified sources of motion artifacts were modelled starting from experimental observations carried out on EEG signals. Consequently, we designed customized EEG electrode systems aiming at experimentally disentangling the possible causes of motion artifacts. Both analytical and experimental observations indicated two main residual sites responsible for motion artifacts: the connecting cables between the electrodes and the amplifier and the sudden changes in electrode-skin impedance due to electrode movements. We concluded that further advancements in EEG technology should focus on the transduction stage of the biopotentials amplification chain, such as the electrode technology and its interfacing with the acquisition system.
Keywords: electroencephalography; biomedical instrumentation; motion artifacts; the brain; EEG electrodes; EEG cap design; electrode-amplifier system modelling electroencephalography; biomedical instrumentation; motion artifacts; the brain; EEG electrodes; EEG cap design; electrode-amplifier system modelling

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MDPI and ACS Style

Giangrande, A.; Botter, A.; Piitulainen, H.; Cerone, G.L. Motion Artifacts in Dynamic EEG Recordings: Experimental Observations, Electrical Modelling, and Design Considerations. Sensors 2024, 24, 6363. https://doi.org/10.3390/s24196363

AMA Style

Giangrande A, Botter A, Piitulainen H, Cerone GL. Motion Artifacts in Dynamic EEG Recordings: Experimental Observations, Electrical Modelling, and Design Considerations. Sensors. 2024; 24(19):6363. https://doi.org/10.3390/s24196363

Chicago/Turabian Style

Giangrande, Alessandra, Alberto Botter, Harri Piitulainen, and Giacinto Luigi Cerone. 2024. "Motion Artifacts in Dynamic EEG Recordings: Experimental Observations, Electrical Modelling, and Design Considerations" Sensors 24, no. 19: 6363. https://doi.org/10.3390/s24196363

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