• DocumentCode
    2486524
  • Title

    Measurement and analysis of surface electromyographic signals on patients wearing eyeglasses

  • Author

    Fiorucci, Edoardo ; Bucci, Giovanni ; Ciancetta, Fabrizio ; Monaco, Annalisa

  • Author_Institution
    Dipt. di Ing. Elettr. e dell´´Inf., Univ. degli Studi dell´´Aquila, L´´Aquila, Italy
  • fYear
    2011
  • fDate
    30-31 May 2011
  • Firstpage
    267
  • Lastpage
    273
  • Abstract
    Evaluation of human surface muscle activity and stress, such as face muscles, is important for the functional study, diagnosis, prosthetic and orthodontic therapy. The surface electromyography (SEMG) is a measurement technique widely adopted for evaluating the activity of body surface muscles in a non-invasive way. Unfortunately the traditional SEMG measurement techniques are not suitable for the evaluation of the muscular activity and stress in rest positions, as during the optometric examinations. The main goal of this paper is to propose a new approach for the evaluation of muscular stress in patient wearing eyeglasses, based on the measurement and analysis for surface electromyographic signals, acquired in rest position for. Some experimental results, obtained with the proposed approach, are presented and discussed in the paper.
  • Keywords
    biomedical measurement; electromyography; medical signal processing; ophthalmic lenses; eyeglasses; face muscles; human surface muscle activity; human surface muscle stress; muscular stress evaluation; optometric examinations; sEMG analysis; sEMG measurement; surface electromyographic signals; Electromyography; Gain; Lenses; Muscles; Noise; Stress; Voltage measurement; Surface electromyography; non-invasive measurement; signal processing bioinstrumentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-9336-4
  • Type

    conf

  • DOI
    10.1109/MeMeA.2011.5966656
  • Filename
    5966656