Modular hybrid functional electrical stimulation system

T. Yukawa, M. Khalid, Masaru Uchiyama, H. Inooka, T. Ohashi, G. Obinata, H. Kagaya, Y. Shimada

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    We consider the design of a modular hybrid functional electrical stimulation (FES) system for an injured person. FES is one of the most advanced techniques in medical sciences in which paralyzed nerves and muscles are stimulated to re-realize the motion of the inactive parts. In this paper we propose a system using an assistant robot to follow an FES performance, as FES control has a lot of uncertainties in characteristics. The assistant robot used here is a 3-link serial type, and attached to the injured person to actively assist the FES performance. The assistant robot must be very simple, light, and slender, having some supply unit, silent actuators, and usually must be easily attached to the injured person. Instead of only FES we use a modular hybrid FES system, as it is very difficult for only FES capacity to support the injured person because of many physical uncertainties involved in a human body. For this purpose, we constitute various types of human models which can be used to reveal an action exactly, and make clear the characteristics of a muscle function. Furthermore, we also propose a control system for a model of the injured person with the assistant robot. Finally, we show that the robust performance of the injured person has been achieved in the standing motion using the modular hybrid FES system.

    Original languageEnglish
    Pages (from-to)1184-1190
    Number of pages7
    JournalProceedings - IEEE International Conference on Robotics and Automation
    Volume2
    Publication statusPublished - 1996 Jan 1
    EventProceedings of the 1996 13th IEEE International Conference on Robotics and Automation. Part 1 (of 4) - Minneapolis, MN, USA
    Duration: 1996 Apr 221996 Apr 28

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Artificial Intelligence
    • Electrical and Electronic Engineering

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