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Titel:

Uncertainty-aware Automated Assessment of the Arm Impedance with Upper-limb Exoskeletons

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Tesfazgi, S.; Sangouard, R.; Endo, S.; Hirche, S.
Abstract:
Providing high degree of personalization to a specific need of each patient is invaluable to improve the utility of robot-driven neurorehabilitation. For the desired customization of treatment strategies, precise and reliable estimation of the patient's state becomes important, as it can be used to continuously monitor the patient during training and to document the rehabilitation progress. Wearable robotics have emerged as a valuable tool for this quantitative assessment as the actuation and se...     »
Stichworte:
tesfazgi_pub_sel, tesfazgi_pub, tesfazgi:frontiers:2023, rehyb
Horizon 2020:
871767
Zeitschriftentitel:
Frontiers in Neurorobotics
Jahr:
2023
Band / Volume:
17
Seitenangaben Beitrag:
1167604
Volltext / DOI:
doi:10.3389/fnbot.2023.1167604
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