000095485 001__ 95485
000095485 005__ 20210902121717.0
000095485 0247_ $$2doi$$a10.3389/fnins.2020.00849
000095485 0248_ $$2sideral$$a119554
000095485 037__ $$aART-2020-119554
000095485 041__ $$aeng
000095485 100__ $$aSchwarz, A.
000095485 245__ $$aAnalyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems
000095485 260__ $$c2020
000095485 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095485 5203_ $$aReaching and grasping is an essential part of everybody’s life, it allows meaningful interaction with the environment and is key to independent lifestyle. Recent electroencephalogram (EEG)-based studies have already shown that neural correlates of natural reach-and-grasp actions can be identified in the EEG. However, it is still in question whether these results obtained in a laboratory environment can make the transition to mobile applicable EEG systems for home use. In the current study, we investigated whether EEG-based correlates of natural reach-and-grasp actions can be successfully identified and decoded using mobile EEG systems, namely the water-based EEG-VersatileTM system and the dry-electrodes EEG-HeroTM headset. In addition, we also analyzed gel-based recordings obtained in a laboratory environment (g.USBamp/g.Ladybird, gold standard), which followed the same experimental parameters. For each recording system, 15 study participants performed 80 self-initiated reach-and-grasp actions toward a glass (palmar grasp) and a spoon (lateral grasp). Our results confirmed that EEG-based correlates of reach-and-grasp actions can be successfully identified using these mobile systems. In a single-trial multiclass-based decoding approach, which incorporated both movement conditions and rest, we could show that the low frequency time domain (LFTD) correlates were also decodable. Grand average peak accuracy calculated on unseen test data yielded for the water-based electrode system 62.3% (9.2% STD), whereas for the dry-electrodes headset reached 56.4% (8% STD). For the gel-based electrode system 61.3% (8.6% STD) could be achieved. To foster and promote further investigations in the field of EEG-based movement decoding, as well as to allow the interested community to make their own conclusions, we provide all datasets publicly available in the BNCI Horizon 2020 database (http://bnci-horizon-2020.eu/database/data-sets).
000095485 536__ $$9info:eu-repo/grantAgreement/EC/H2020/643955/EU/Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities/MoreGrasp$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 643955-MoreGrasp$$9info:eu-repo/grantAgreement/EC/H2020/681231/EU/Non-invasive decoding of cortical patterns induced by goal directed movement intentions and artificial sensory feedback in humans/Feel your Reach$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 681231-Feel your Reach
000095485 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095485 590__ $$a4.677$$b2020
000095485 591__ $$aNEUROSCIENCES$$b87 / 273 = 0.319$$c2020$$dQ2$$eT1
000095485 592__ $$a1.499$$b2020
000095485 593__ $$aNeuroscience (miscellaneous)$$c2020$$dQ2
000095485 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095485 700__ $$aEscolano, C.
000095485 700__ $$0(orcid)0000-0003-1183-349X$$aMontesano, L.$$uUniversidad de Zaragoza
000095485 700__ $$aMüller-Putz, G.R.
000095485 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000095485 773__ $$g14 (2020), 849 1-17$$pFront. neurosci.$$tFrontiers in neuroscience$$x1662-4548
000095485 8564_ $$s7064006$$uhttps://zaguan.unizar.es/record/95485/files/texto_completo.pdf$$yVersión publicada
000095485 8564_ $$s502757$$uhttps://zaguan.unizar.es/record/95485/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095485 909CO $$ooai:zaguan.unizar.es:95485$$particulos$$pdriver
000095485 951__ $$a2021-09-02-09:25:23
000095485 980__ $$aARTICLE