• DocumentCode
    252582
  • Title

    Non-invasive techniques to assess muscle fatigue using biosensors: A review

  • Author

    Sarillee, Mohamed ; Hariharan, M. ; Anas, Mohamad Nuzli ; Omar, M.I. ; Aishah, M.N. ; Oung, Q.W.

  • Author_Institution
    Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Arau, Malaysia
  • fYear
    2014
  • fDate
    11-12 Aug. 2014
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    Muscle fatigue is a common muscle condition which experiences in our daily activity. Muscle fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has commonly been used to detect muscle fatigue. Effort has been made to improve the current detection using different Myography. Mechanomyogram (MMG) and acoustic myogram (AMG) were used to record mechanical activity of the muscle, which is a useful parameter to detect muscle fatigue. This review discusses the on existing myogram and various signal processing methods and techniques that have been applied. Towards the end of the paper, challenges and future trends are discussed.
  • Keywords
    bioacoustics; biomechanics; electromyography; fatigue; medical signal processing; AMG; EMG; MMG; acoustic myogram; biosensors; daily activity; electromyography; mechanical activity; mechanomyogram; muscle condition; muscle fatigue detection; noninvasive techniques; signal processing methods; signal processing techniques; Acoustics; Electromyography; Fatigue; Feature extraction; Force; Muscles; Time-frequency analysis; AMG; EMG; MMG; Muscle fatigue;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and System Graduate Research Colloquium (ICSGRC), 2014 IEEE 5th
  • Conference_Location
    Shah Alam
  • Print_ISBN
    978-1-4799-5691-3
  • Type

    conf

  • DOI
    10.1109/ICSGRC.2014.6908719
  • Filename
    6908719