2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018
DOI: 10.1109/embc.2018.8513074
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Sensibility Assessment For User Interface And Training Program Of An Upper-Limb Rehabilitation Robot, D-SEMUL

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Cited by 3 publications
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“…The end-effector-based-type upper limb rehabilitation robots support and pull the end of the patients through a closed-loop linkage mechanism or a series mechanism, so as to realize the rehabilitation training of the upper limb. The most representative of the robots with the closed-loop linkage mechanisms include MIT-MANUS (Hogan et al, 1992), D-SEMUL (Kikuchi et al, 2018), CASIA-ARM (Luo et al, 2019), and SepaRRo (Chang et al, 2018). They could per-Published by Copernicus Publications.…”
Section: Introductionmentioning
confidence: 99%
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“…The end-effector-based-type upper limb rehabilitation robots support and pull the end of the patients through a closed-loop linkage mechanism or a series mechanism, so as to realize the rehabilitation training of the upper limb. The most representative of the robots with the closed-loop linkage mechanisms include MIT-MANUS (Hogan et al, 1992), D-SEMUL (Kikuchi et al, 2018), CASIA-ARM (Luo et al, 2019), and SepaRRo (Chang et al, 2018). They could per-Published by Copernicus Publications.…”
Section: Introductionmentioning
confidence: 99%
“…The exoskeleton-type upper limb rehabilitation robot has a kinematic structure similar to that of the human upper limb, and it generates driving force on each joint of the patient's upper limb to drive limb rehabilitation training, such as CADEN-7 (Perry et al, 2007), Harmony (Kim and Deshpande, 2017), ARMin III (Nef et al, 2009), Co-EXos (Zhang et al, 2019), Armeo Power (Jarrase et al, 2015), and LIMPACTA (Otten et al, 2015). Compared with the end-effector-based robot, the exoskeleton robot can drive the patient's limbs to perform three-dimensional rehabilitation training, especially the large-ROM flexion/extension training of the human shoulder.…”
Section: Introductionmentioning
confidence: 99%