EMG based design and evaluation of micro macro neural network for rollover support trunk orthosis

Takeshi Ando, Jun Okamoto, Mitsuru Takahashi, Masakatsu G. Fujie

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    An EMG controlled intelligent orthosis was developed to support the rollover movement of cancer bone metastasis patients. In this paper, the validation of the developed signal processing algorithm to recognize the rollover was focused. Firstly, the ElectroMechanicalDelay of the internal oblique muscle was measured as the about 65 (msec). Secondly, it was confirmed that the rollover movement was recognized about 65 (msec) before the movement started. Therefore, the developed Micro Macro Neural Network (MMNN) recognized the rollover movement using the EMG signal as quick as possible. Finally, the robustness of the developed MMNN was discussed by conducting the experiment to discriminate between the rollover and turning out. We proposed and developed the original algorithm in which the logical XOR operation was added to the MMNN, because the MMNN which learned the characteristics of the only rollover recognized the turning out movement as the rollover movement perfectly. When the proposed algorithm that combined the MMNN and XOR operator was used, the rollover and turning out movements were discriminated 83%.

    Original languageEnglish
    Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
    Pages2916-2921
    Number of pages6
    DOIs
    Publication statusPublished - 2010
    Event2010 IEEE International Conference on Robotics and Automation, ICRA 2010 - Anchorage, AK
    Duration: 2010 May 32010 May 7

    Other

    Other2010 IEEE International Conference on Robotics and Automation, ICRA 2010
    CityAnchorage, AK
    Period10/5/310/5/7

    Fingerprint

    Macros
    Neural networks
    Muscle
    Mathematical operators
    Signal processing
    Bone
    Experiments

    ASJC Scopus subject areas

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

    Cite this

    Ando, T., Okamoto, J., Takahashi, M., & Fujie, M. G. (2010). EMG based design and evaluation of micro macro neural network for rollover support trunk orthosis. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 2916-2921). [5509868] https://doi.org/10.1109/ROBOT.2010.5509868

    EMG based design and evaluation of micro macro neural network for rollover support trunk orthosis. / Ando, Takeshi; Okamoto, Jun; Takahashi, Mitsuru; Fujie, Masakatsu G.

    Proceedings - IEEE International Conference on Robotics and Automation. 2010. p. 2916-2921 5509868.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Ando, T, Okamoto, J, Takahashi, M & Fujie, MG 2010, EMG based design and evaluation of micro macro neural network for rollover support trunk orthosis. in Proceedings - IEEE International Conference on Robotics and Automation., 5509868, pp. 2916-2921, 2010 IEEE International Conference on Robotics and Automation, ICRA 2010, Anchorage, AK, 10/5/3. https://doi.org/10.1109/ROBOT.2010.5509868
    Ando T, Okamoto J, Takahashi M, Fujie MG. EMG based design and evaluation of micro macro neural network for rollover support trunk orthosis. In Proceedings - IEEE International Conference on Robotics and Automation. 2010. p. 2916-2921. 5509868 https://doi.org/10.1109/ROBOT.2010.5509868
    Ando, Takeshi ; Okamoto, Jun ; Takahashi, Mitsuru ; Fujie, Masakatsu G. / EMG based design and evaluation of micro macro neural network for rollover support trunk orthosis. Proceedings - IEEE International Conference on Robotics and Automation. 2010. pp. 2916-2921
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