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dc.creatorEleni, A.en
dc.date.accessioned2015-11-23T10:26:16Z
dc.date.available2015-11-23T10:26:16Z
dc.date.issued2008
dc.identifier10.1109/BIBE.2008.4696838
dc.identifier.isbn9781424428458
dc.identifier.urihttp://hdl.handle.net/11615/27353
dc.description.abstractBrain-robot interface (BRI) has been a growing field of innovative research and development in cognitive neuroscience and brain bioimaging processing technologies. In this paper we endeavor to explore how medical robotics and neurorobotic prosthetics can be controlled by Brain-Robot Interfaces and RFID (Radio Frequency Identification) technologies, directly using brain signals obtained non- invasively from the scalp through electroencephalography (EEG) in order to assist disabled patients to ameliorate their everyday lives.There is a general consensus that computational visualizations and interfaces are proliferating in every aspect of medical practice, prompted from the current trends in telemedicine. The main focus of the study is on architectures of Brain-robot interfaces for communication and control using one specific modality, namely electroencephalography (EEG), alpha (a) wave-based BRI with an emphasis on biosignal processing aspects.The main motivation for the application of such scientific methods is the development of an alternative communication and control means for severely disabled people, focusing in replacing total voluntary muscle control using robotic prosthetics. The substantial goal is to demonstrate that an EEG- based brain-robot interface can be used for sophisticated robotic interaction with the environment, involving not only navigation as in previous applications but also manipulation and transport of objects. Visualization of brain electrical activity and BRI technology, by their intimate connection with the wonder of human thought processes, are a fascinating research field, that has demonstrated the unprecedented ability of direct information transfer from the brain to medical robots or robotic prosthetics. Inclusion of a BRI in a multimodal interface thus results in a net gain of information transfer capability that alters the standards in medical robotics.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-67549097157&partnerID=40&md5=48ec3f1caf2073e9870d2cbd560c19be
dc.subjectBrain computer interface (BCI)en
dc.subjectBrain robot interface (BRI)en
dc.subjectNeurorobotic prosthetics RFIDen
dc.subjectAlternative communicationen
dc.subjectBio-imagingen
dc.subjectBiosignal processingen
dc.subjectBrain electrical activityen
dc.subjectBrain signalsen
dc.subjectCognitive neurosciencesen
dc.subjectCommunication and controlen
dc.subjectComputational visualizationen
dc.subjectCurrent trendsen
dc.subjectDisabled peopleen
dc.subjectInformation transfersen
dc.subjectInnovative researchen
dc.subjectMedical practiceen
dc.subjectMedical roboticsen
dc.subjectMedical robotsen
dc.subjectMulti-modal interfacesen
dc.subjectNet gainen
dc.subjectNon-invasiveen
dc.subjectProcessing technologiesen
dc.subjectResearch fieldsen
dc.subjectRFID Technologyen
dc.subjectRobot interfaceen
dc.subjectRobotic interactionen
dc.subjectScientific methoden
dc.subjectThought processen
dc.subjectBioinformaticsen
dc.subjectBrainen
dc.subjectElectroencephalographyen
dc.subjectElectrophysiologyen
dc.subjectIndustrial researchen
dc.subjectInterfaces (computer)en
dc.subjectMan machine systemsen
dc.subjectMuscleen
dc.subjectProstheticsen
dc.subjectRadio frequency identification (RFID)en
dc.subjectRoboticsen
dc.subjectTechnologyen
dc.subjectTelemedicineen
dc.subjectVisualizationen
dc.subjectRobotsen
dc.titleControl of medical robotics and neurorobotic prosthetics by non invasive brain-robot interfaces via EEG and RFID technologyen
dc.typeconferenceItemen


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