著者

Meigen Liu Junichi Ushiba

出版者

The Keio Journal of Medicine

雑誌

The Keio Journal of Medicine (ISSN:00229717)

巻号頁・発行日

vol.71, no.4, pp.82-92, 2022 (Released:2022-12-25)

参考文献数

68

被引用文献数

5

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Because recovery from upper limb paralysis after stroke is challenging, compensatory approaches have been the main focus of upper limb rehabilitation. However, based on fundamental and clinical research indicating that the brain has a far greater potential for plastic change than previously thought, functional restorative approaches have become increasingly common. Among such interventions, constraint-induced movement therapy, task-specific training, robotic therapy, neuromuscular electrical stimulation (NMES), mental practice, mirror therapy, and bilateral arm training are recommended in recently published stroke guidelines. For severe upper limb paralysis, however, no effective therapy has yet been established. Against this background, there is growing interest in applying brain–machine interface (BMI) technologies to upper limb rehabilitation. Increasing numbers of randomized controlled trials have demonstrated the effectiveness of BMI neurorehabilitation, and several meta-analyses have shown medium to large effect sizes with BMI therapy. Subgroup analyses indicate higher intervention effects in the subacute group than the chronic group, when using movement attempts as the BMI-training trigger task rather than using motor imagery, and using NMES as the external device compared with using other devices. The Keio BMI team has developed an electroencephalography-based neurorehabilitation system and has published clinical and basic studies demonstrating its effectiveness and neurophysiological mechanisms. For its wider clinical application, the positioning of BMI therapy in upper limb rehabilitation needs to be clarified, BMI needs to be commercialized as an easy-to-use and cost-effective medical device, and training systems for rehabilitation professionals need to be developed. A technological breakthrough enabling selective modulation of neural circuits is also needed.

著者

Atsuko Nishimoto Yohei Otaka Shoko Kasuga Eri Otaka Kotaro Yamazaki Junichi Ushiba Meigen Liu

出版者

The Keio Journal of Medicine

雑誌

The Keio Journal of Medicine (ISSN:00229717)

巻号頁・発行日

vol.65, no.3, pp.57-63, 2016 (Released:2016-09-25)

参考文献数

9

被引用文献数

1

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Robotics is an emerging field in rehabilitation medicine. Robots have the potential to complement traditional clinical assessments because they can measure functions more precisely and quantitatively than current clinical assessments. We present a patient with a proximal humeral fracture whose recovery process was evaluated with an exoskeleton robotic device. The patient, a 34-year-old woman, suffered a left proximal humeral fracture while snowboarding. She is an occupational therapist and is the first author of this study. With conservative therapy, fracture union was seen on X-ray at 6 weeks post-injury. At that time, the patient was permitted to move her left upper limb actively within the tolerance of pain. We assessed the function of the injured upper limb at 6, 7, and 12 weeks post-injury with the KINARM exoskeleton robotic device and with conventional clinical measures. The active range of motion and the muscle strength of the left shoulder improved over time. Using robotic assessment, the precise movement profiles, position sense, and functional ability of both arms were quantified and also showed progressive improvement over time. Assessment with a robotic device of the recovery process after proximal humeral fracture allowed quantification of functional impairments that could not be felt subjectively nor identified with conventional clinical assessments.