Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial

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dc.citation.firstpage122en_US
dc.citation.journalTitle2017 International Conference on Rehabilitation Robotics (ICORR)en_US
dc.citation.lastpage127en_US
dc.contributor.authorSullivan, Jennifer L.en_US
dc.contributor.authorBhagat, Nikunj A.en_US
dc.contributor.authorYozbatiran, Nurayen_US
dc.contributor.authorParanjape, Rutaen_US
dc.contributor.authorLosey, Colin G.en_US
dc.contributor.authorGrossman, Robert G.en_US
dc.contributor.authorContreras-Vidal, Jose L.en_US
dc.contributor.authorFrancisco, Gerard E.en_US
dc.contributor.authorO’Malley, Marcia K.en_US
dc.contributor.orgMechanical Engineeringen_US
dc.date.accessioned2018-07-03T16:08:36Zen_US
dc.date.available2018-07-03T16:08:36Zen_US
dc.date.issued2017en_US
dc.description.abstractThis paper presents the preliminary findings of a multi-year clinical study evaluating the effectiveness of adding a brain-machine interface (BMI) to the MAHI-Exo II, a robotic upper limb exoskeleton, for elbow flexion/extension rehabilitation in chronic stroke survivors. The BMI was used to trigger robot motion when movement intention was detected from subjects' neural signals, thus requiring that subjects be mentally engaged during robotic therapy. The first six subjects to complete the program have shown improvements in both Fugl-Meyer Upper-Extremity scores as well as in kinematic movement quality measures that relate to movement planning, coordination, and control. These results are encouraging and suggest that increasing subject engagement during therapy through the addition of an intent-detecting BMI enhances the effectiveness of standard robotic rehabilitation.en_US
dc.identifier.citationSullivan, Jennifer L., Bhagat, Nikunj A., Yozbatiran, Nuray, et al.. "Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial." <i>2017 International Conference on Rehabilitation Robotics (ICORR),</i> (2017) IEEE: 122-127. https://doi.org/10.1109/ICORR.2017.8009233.en_US
dc.identifier.doihttps://doi.org/10.1109/ICORR.2017.8009233en_US
dc.identifier.urihttps://hdl.handle.net/1911/102349en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE.en_US
dc.titleImproving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trialen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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