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Non-integer Order Filtration of Electromyographic Signals

  • Jerzy Baranowski
  • Paweł Piątek
  • Aleksandra Kawala-Janik
  • Marta Zagórowska
  • Waldemar Bauer
  • Tomasz Dziwiński
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 320)

Abstract

Electromyography (EMG) is recently of growing interest of doctors and scientists as it provides a tool for muscle performance verification. In this paper a new approach to EMG signal processing is considered. This approach is non-integer order filtering. Bi-fractional filter is designed and filtering occurs through exact computation.

Keywords

Muscle Performance Integer Order Motor Unit Action Potential Electromyographic Signal Apply Soft Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jerzy Baranowski
    • 1
  • Paweł Piątek
    • 1
  • Aleksandra Kawala-Janik
    • 2
  • Marta Zagórowska
    • 1
  • Waldemar Bauer
    • 1
  • Tomasz Dziwiński
    • 1
  1. 1.Department of Automatics and Biomedical EngineeringAGH University of Science and TechnologyKrakówPoland
  2. 2.Faculty of Electrical Engineering, Automatic Control and InformaticsOpole University of TechnologyOpolePoland

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