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Neural machine interfaces for controlling multifunctional powered upper-limb prostheses.

Kengo Ohnishi1, Richard F Weir, Todd A Kuiken

  • 1Northwestern University Prosthetic Research Laboratory Research Associate, Oita University, Department of Welfare Engineering, Faculty of Engineering700 Dannoharu, Oita, 8701192, Japan. ohnishi@cc.oita-u.ac.jp

Expert Review of Medical Devices
|December 26, 2006
PubMed
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This review explores neural interfaces for controlling advanced prosthetic limbs. It covers amputation data, prosthetic use, and various interface technologies, including brain-machine and nerve interfaces, for better prosthetic function.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Medicine

Background:

  • Upper-limb amputation presents significant challenges for individuals, impacting daily life and independence.
  • Externally powered upper-limb prostheses offer functional restoration but require effective control strategies.
  • Advancements in neural interface technology are crucial for improving prosthetic control and user experience.

Purpose of the Study:

  • To investigate diverse neural machine interfaces for voluntary control of externally powered upper-limb prostheses.
  • To review the epidemiology of upper limb amputation and clinical studies of prosthetic use.
  • To examine the efficacy and clinical results of various interface types for prosthetic control.

Main Methods:

  • Literature review of studies on electromyographic, peripheral nerve, and brain-machine interfaces.

Related Experiment Videos

  • Analysis of research on muscle acoustic and mechanical property interfaces.
  • Exploration of sensory feedback integration into neural systems.
  • Main Results:

    • Electromyographic, peripheral nerve, and brain-machine interfaces show promise for prosthetic control.
    • Muscle acoustic and mechanical properties offer alternative interface modalities.
    • Interfacing sensory information to the nervous system is a key challenge for intuitive prosthetic use.

    Conclusions:

    • Various neural interfaces are being developed for advanced prosthetic limb control.
    • Integrating sensory feedback is essential for enhancing user embodiment and function.
    • Continued research in neural interfacing is vital for improving outcomes for amputees.