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dc.contributor.authorDelgado, Pablo
dc.contributor.authorJaradat, Lieth
dc.contributor.authorYihun, Yimesker S.
dc.date.accessioned2022-05-31T21:08:11Z
dc.date.available2022-05-31T21:08:11Z
dc.date.issued2022-04-28
dc.identifier.citationDelgado, P, Jaradat, L, & Yihun, Y. "Assessment of Task and Joint-Based Exoskeleton Designs for Elbow Joint Rehabilitation." Proceedings of the 2022 Design of Medical Devices Conference. 2022 Design of Medical Devices Conference. Minneapolis, MN, USA. April 11–14, 2022. V001T07A002. ASME. https://doi.org/10.1115/DMD2022-1034
dc.identifier.isbn978-0-7918-8571-0
dc.identifier.urihttps://doi.org/10.1115/DMD2022-1034
dc.identifier.urihttps://soar.wichita.edu/handle/10057/23368
dc.descriptionClick on the DOI to access this article (may not be free).
dc.description.abstractExoskeletons and robots have been used as a common practice to assist and automate rehabilitation exercises. Exoskeleton fitting and alignments are important factors and challenges that need to be addressed for smooth and safe operations and better outcomes. Such challenges often dictate the exoskeleton design approaches. Some focus on simplifying and mimicking human joints (joint-based) while others have a focus on a specific task (task-based), which does not need to align with the corresponding limb joint/s to generate the desired anatomical motion. In this study, the two design approaches are assessed in an elbow flexion-extension task. The muscle responses have been collected and compared with and without the exoskeletons. Based on 6 with no disability participants, the normalized Electromyography (EMG) RMS values are plotted. The plot profiles and magnitudes are used as a base to assess the exoskeleton alignment. For this specific task, the task-based exoskeleton has shown a profile closer to the one without exoskeleton with a relatively identical support as the joint-based one; the latter is evidenced through most subjects' muscle response magnitudes. This preliminary data has shown a good methodology and insight towards the assessment of exoskeletons, but more human subject data is needed with different task combinations to further strengthen the findings. © 2022 by ASME
dc.description.sponsorshipNational Science Foundation, NSF: CBET-1915872
dc.language.isoen_US
dc.publisherAmerican Society of Mechanical Engineers
dc.relation.ispartofseriesProceedings of the 2022 Design of Medical Devices Conference, DMD 2022
dc.subjectExoskeleton devices
dc.subjectDesign
dc.subjectElectromyography
dc.subjectMuscle
dc.subjectFittings
dc.subjectPerformance
dc.subjectRobots
dc.titleAssessment of task and joint-based exoskeleton designs for elbow joint rehabilitation
dc.typeConference paper
dc.rights.holder© 2022 by ASME


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