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dc.contributor.authorCerone, G. L.
dc.contributor.authorGiangrande, A.
dc.contributor.authorGhislieri, M.
dc.contributor.authorGazzoni, M.
dc.contributor.authorPiitulainen, H.
dc.contributor.authorBotter, A.
dc.date.accessioned2022-02-17T11:47:13Z
dc.date.available2022-02-17T11:47:13Z
dc.date.issued2022
dc.identifier.citationCerone, 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. <i>IEEE Transactions on Neural Systems and Rehabilitation Engineering</i>, <i>30</i>, 61-71. <a href="https://doi.org/10.1109/TNSRE.2022.3140220" target="_blank">https://doi.org/10.1109/TNSRE.2022.3140220</a>
dc.identifier.otherCONVID_104280874
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/79815
dc.description.abstractSensorimotor 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofseriesIEEE Transactions on Neural Systems and Rehabilitation Engineering
dc.rightsCC BY-NC-ND 4.0
dc.titleDesign and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202202171542
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange61-71
dc.relation.issn1534-4320
dc.relation.volume30
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2022
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.relation.grantnumber327288
dc.relation.grantnumber311877
dc.subject.ysosensoriverkot
dc.subject.ysolangattomat verkot
dc.subject.ysomittauslaitteet
dc.subject.ysoelektromyografia
dc.subject.ysohermo-lihastoiminta
dc.subject.ysoEEG
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p24338
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
jyx.subject.urihttp://www.yso.fi/onto/yso/p3583
jyx.subject.urihttp://www.yso.fi/onto/yso/p22356
jyx.subject.urihttp://www.yso.fi/onto/yso/p25107
jyx.subject.urihttp://www.yso.fi/onto/yso/p3328
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1109/TNSRE.2022.3140220
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramResearch costs of Academy Research Fellow, AoFen
jyx.fundingprogramResearch profiles, AoFen
jyx.fundingprogramAkatemiatutkijan tutkimuskulut, SAfi
jyx.fundingprogramProfilointi, SAfi
jyx.fundinginformationThis work was supported by the University of Jyväskylä “Brain changes across the life-span” under Grant 311877. The work of H. Piitulainen was supported in part by the Academy of Finland under Grant 296240 and Grant 327288 and in part by the Jane and Aatos Erkko Foundation under Grant 602.274
dc.type.okmA1


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