A1 Journal article (refereed)
Design and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions (2022)

Cerone, G. L., Giangrande, A., Ghislieri, M., Gazzoni, M., Piitulainen, H., & Botter, A. (2022). Design and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 61-71. https://doi.org/10.1109/TNSRE.2022.3140220

JYU authors or editors

Publication details

All authors or editors: Cerone, G. L.; Giangrande, A.; Ghislieri, M.; Gazzoni, M.; Piitulainen, H.; Botter, A.

Journal or series: IEEE Transactions on Neural Systems and Rehabilitation Engineering

ISSN: 1534-4320

eISSN: 1558-0210

Publication year: 2022

Volume: 30

Pages range: 61-71

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/TNSRE.2022.3140220

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/79815

Abstract

Sensorimotor integration is the process through which the human brain plans the motor program execution according to external sources. Within this context, corticomuscular and corticokinematic coherence analyses are common methods to investigate the mechanism underlying the central control of muscle activation. This requires the synchronous acquisition of several physiological signals, including EEG and sEMG. Nevertheless, physical constraints of the current, mostly wired, technologies limit their application in dynamic and naturalistic contexts. In fact, although many efforts were made in the development of biomedical instrumentation for EEG and High Density-surface EMG (HD-sEMG) signal acquisition, the need for an integrated wireless system is emerging. We hereby describe the design and validation of a new fully wireless body sensor network for the integrated acquisition of EEG and HD-sEMG signals. This Body Sensor Network is composed of wireless bio-signal acquisition modules, named sensor units, and a set of synchronization modules used as a general-purpose system for time-locked recordings. The system was characterized in terms of accuracy of the synchronization and quality of the collected signals. An in-depth characterization of the entire system and an head-to-head comparison of the wireless EEG sensor unit with a wired benchmark EEG device were performed. The proposed device represents an advancement of the State-of-the-Art technology allowing the integrated acquisition of EEG and HD-sEMG signals for the study of sensorimotor integration.

Keywords: neuromuscular activity; measuring instruments (devices); EEG; electromyography; sensor networks; wireless networks

Contributing organizations

Related projects

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 2