Tuning of myoelectric prostheses using fuzzy logic

  • Authors:

  • C. Bonivento;A. Davalli;C. Fantuzzi

  • Affiliations:

  • DEIS, Universití di Bologna, viale del Risorgimento, 2, 40136 Bologna, Italy;Centro per la Sperimentazione ed Applicazione di Protesi e Presidi Ortopedici, INAIL, Vigorso (Bologna), Italy;Dipartimento di Ingegneria, Universití di Ferrara, via Saragat, 1, 44100 Ferrara, Italy

  • Venue:
  • Artificial Intelligence in Medicine
  • Year:
  • 2001

  • Fuzzy Systems in Biomedicine

    Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies

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Abstract

This contribution concerns the use of a supervisory expert system based on fuzzy logic for the parameter adjusting of myoelectric prostheses. The prosthesis system is an artificial arm produced by INAIL in Vigorso (Bologna, Italy), which is equipped with an on-board actuation system. The expert system guides patients through an interactive session whose aim is to test the prosthesis functionality and, when necessary, to self-adjust the parameters.