Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Pre-processing of Multi-channel sEMG Signals Based on ICA and Spectral Curve Descriptors

    Access Status
    Fulltext not available
    Authors
    Lee, Wai Lee
    Mansour, Ali
    Tan, Tele
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Lee, W.l. and Mansour, A. and Tan, T. 2010. Pre-processing of Multi-channel sEMG Signals Based on ICA and Spectral Curve Descriptors, in Lim, C.T. and Goh, J.C.H. (ed), 6th World Congress of Biomechanics (WBC 2010), Aug 1 2010, pp. 1370-1373. Singapore: Springer.
    Source Title
    IFMBE Proceedings Vol. 31
    Source Conference
    6th World Congress of Biomechanics (WBC 2010)
    ISBN
    9783642145148
    School
    Department of Computing
    Remarks

    The original publication is available at http://www.springerlink.com

    URI
    http://hdl.handle.net/20.500.11937/29913
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, a set of multi-channel sEMG was given to examine the coordination between quadriceps andhamstring. To extract valuable muscle information and also describe muscles? activities from noisy multi-channel sEMG, advanced signal processing techniques are required to cancel additive noise, remove artifacts and reduce crosstalkes among electrodes. In the last two decades, Independent Component Analysis (ICA) techniques have been successfully used to remove crosstalkes among electrodes. Besides that, ICA are multi-channel adaptive signal processing techniques and do not require any prior information of the signal.In our study, ICA is used to eliminate the crosstalks among the electrodes. To improve the performance of our system, spectral descriptors were also used to describe muscle activities. Many experiments and various simulations have been conducted. Our experimental results showed that ICA can remove the crosstalks and further improve the signal quality while three differentspectral descriptors which are energy, MPF and VMF can work together to describe a muscle activity effectively.

    Related items

    Showing items related by title, author, creator and subject.

    • Spatial variation and inconsistency between estimates of onset of muscle activation from EMG and ultrasound.
      Dieterich, A.; Botter, A.; Vieira, T.; Peolsson, A.; Petzke, F.; Davey, Paul; Falla, D. (2017)
      Delayed onset of muscle activation can be a descriptor of impaired motor control. Activation onset can be estimated from electromyography (EMG)-registered muscle excitation and from ultrasound-registered muscle motion, ...
    • Single-Trial Multi-channel N170 Estimation Using Linear Discriminant Analysis (LDA)
      Lee, Wee; Tan, Tele; Falkmer, Torbjorn; Leung, Yee-Hong (2012)
      N170 is one of the event-related potentials (ERPs) that have been extensively used to study the neurological response of a subject when presented with a visual face stimulus. Although many N170 experiments have been ...
    • Equalisation for carrierless amplitude and phase modulation
      Gao, Jason (2002)
      Carrierless amplitude and phase (CAP) modulation is generally regarded as a bandwidth efficient two-dimensional (2-D) passband line code. It is closely related to the pulse amplitude modulation (PAM) and quadrature amplitude ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.