Design and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopy

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dc.contributor.authorAbibullaev, Berdakh
dc.contributor.authorAn, Jinung
dc.contributor.authorLee, Seung Hyun
dc.contributor.authorMoon, Jeon Il
dc.creatorBerdakh, Abibullaev
dc.date.accessioned2017-12-22T03:15:38Z
dc.date.available2017-12-22T03:15:38Z
dc.date.issued2017-02-01
dc.description.abstractAbstract The integration of Brain-Computer-Interfaces (BCI) into rehabilitation research is a promising approach that may substantially impact the rehabilitation success. Yet, there is still significant challenges that needs to be addressed before the BCI technology can be fully used effectively in a clinical setting as a neural prosthesis for motor impaired users. As it is still unknown whether the conventional BCI induction strategies that use different the types of stimuli and/or mental tasks induce cortical reorganization for disabled users. This paper presents a design and evaluation of a real-time Near-Infrared Spectroscopy (NIRS) based BCI protocol to control an external haptic device, and an interesting source of brain signals that may convey complementary information for inducing neuroplasticity. The protocol is based on the ideas derived from Mirror-based Therapy (MT) in which subjects not only perform literal motor imagery tasks but also combine their intents with visual action observation of a related motor imagery task. The NIRS-BCI system then commands a haptic device in real-time to move in opposing directions of leftward and rightward movement. We also compare the proposed protocol to the conventional limb motor imagery task and verify its efficacy with online decoding accuracies up to 94.99%. The initial validation of the experimental setup was done with seven healthy subjects. Nonetheless we contend that the design of the current NIRS-BCI method hold promise with patient populations for effective stroke rehabilitation therapy, because the beneficial effects of MT alone in post-stroke recovery has already been manifested in the literature.en_US
dc.identifierDOI:10.1016/j.measurement.2016.12.001
dc.identifier.citationBerdakh Abibullaev, Jinung An, Seung Hyun Lee, Jeon Il Moon, Design and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopy, In Measurement, Volume 98, 2017, Pages 250-261en_US
dc.identifier.issn02632241
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0263224116306996
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/3013
dc.language.isoenen_US
dc.publisherMeasurementen_US
dc.relation.ispartofMeasurement
dc.rights.license© 2016 Elsevier Ltd. All rights reserved.
dc.subjectBrain-computer interfaceen_US
dc.subjectNear-infrared spectroscopyen_US
dc.subjectMirror therapyen_US
dc.subjectHaptic deviceen_US
dc.subjectPCAen_US
dc.subjectMultiple support vector machinesen_US
dc.subjectChannel localizationen_US
dc.subjectBCI for neural rehabilitationen_US
dc.titleDesign and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopyen_US
dc.typeArticleen_US
elsevier.aggregationtypeJournal
elsevier.coverdate2017-02-01
elsevier.coverdisplaydateFebruary 2017
elsevier.endingpage261
elsevier.identifier.doi10.1016/j.measurement.2016.12.001
elsevier.identifier.eid1-s2.0-S0263224116306996
elsevier.identifier.piiS0263-2241(16)30699-6
elsevier.identifier.scopusid85006356576
elsevier.openaccess0
elsevier.openaccessarticlefalse
elsevier.openarchivearticlefalse
elsevier.startingpage250
elsevier.teaserThe integration of Brain-Computer-Interfaces (BCI) into rehabilitation research is a promising approach that may substantially impact the rehabilitation success. Yet, there is still significant challenges...
elsevier.volume98
workflow.import.sourcescience

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