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Related Experiment Video

Updated: Feb 24, 2026

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
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Upper limb training/assessment program using passive force controllable rehabilitation system.

Takehito Kikuchi, Chihiro Sato, Kazuki Yamabe

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |August 18, 2017
    PubMed
    Summary

    This study introduces a new robotic system, the Simple Exercise Machine for Upper Limbs (SEMUL), for hemiplegia rehabilitation. SEMUL demonstrated superior improvements in motor function assessments compared to traditional training methods.

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    Area of Science:

    • Neurorehabilitation
    • Robotics in Medicine
    • Biomechanics

    Background:

    • Upper limb rehabilitation for hemiplegia relies heavily on experienced therapists, leading to variability in training.
    • Rehabilitation robots offer potential for objective assessment and standardized training.
    • Existing methods lack consistent force control and sensing for precise rehabilitation.

    Purpose of the Study:

    • To develop a safe, brake-type robotic rehabilitation system for upper limb training in hemiplegia patients.
    • To create a novel upper limb training and assessment program compatible with the developed robotic system.
    • To evaluate the efficacy of the new robotic system against conventional training methods.

    Main Methods:

    • Development of the Simple Exercise Machine for Upper Limbs (SEMUL) utilizing an electro-rheological fluid brake.
    • Creation of the "WIPE" (Writing, Imaging, Performing, Exercising) upper limb training and assessment program.
    • Clinical trials involving twelve hemiplegia subjects using an ABA design, comparing SEMUL training with general training, and assessing motor function with Fugl-Meyer Assessment (FMA), Brunnstrome recovery stage, Simple Test for Evaluating Hand Function (STEF), Stroke Impairment Assessment Set (SIAS), and Motor Activity Log.

    Main Results:

    • SEMUL training group showed significantly higher improvements in Fugl-Meyer Assessment (FMA) scores compared to the general training group.
    • Improvements in Simple Test for Evaluating Hand Function (STEF) were greater in the SEMUL group.
    • The Stroke Impairment Assessment Set (SIAS) also indicated superior functional gains with SEMUL training.

    Conclusions:

    • The developed SEMUL system, coupled with the WIPE program, offers an effective robotic approach for upper limb rehabilitation in hemiplegia.
    • Robotic-assisted therapy using SEMUL can lead to better motor function recovery than conventional methods.
    • This study highlights the potential of computational rehabilitation for objective and enhanced patient outcomes.