• A Multi-Modal Approach for Hand Motion Classification Using Surface EMG and Accelerometers 

      Fougner, Anders Lyngvi; Scheme, Erik; Chan, Adrian D. C.; Englehart, Kevin; Stavdahl, Øyvind (IEEE Engineering in Medicine and Biology Society. Conference Proceedings;6091054, Journal article; Peer reviewed, 2011)
      For decades, electromyography (EMG) has been used for diagnostics, upper-limb prosthesis control, and recently even for more general human-machine interfaces. Current commercial upper limb prostheses usually have only two ...
    • Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control-A Review 

      Fougner, Anders Lyngvi; Stavdahl, Øyvind; Kyberd, Peter Joseph; Losier, Yves G.; Parker, Philip A. (Journal article; Peer reviewed, 2012)
      The recent introduction of novel multifunction hands as well as new control paradigms increase the demand for advanced prosthetic control systems. In this context, an unambiguous terminology and a good understanding of the ...
    • Examining the Adverse Effects of Limb Position on PatternRecognition Based Myoelectric Control 

      Scheme, Erik; Fougner, Anders Lyngvi; Stavdahl, Øyvind; Chan, Adrian D. C.; Englehart, Kevin (;5627638, Journal article; Peer reviewed, 2010)
      Pattern recognition of myoelectric signals for the control of prosthetic devices has been widely reported and debated. A large portion of the literature focuses on offline classification accuracy of pre-recorded signals. ...
    • Resolving the Limb Position Effect in Myoelectric Pattern Recognition 

      Fougner, Anders Lyngvi; Scheme, Erik; Chan, Adrian D. C.; Englehart, Kevin; Stavdahl, Øyvind (Journal article; Peer reviewed, 2011)
      Reported studies on pattern recognition of electromyograms (EMG) for the control of prosthetic devices traditionally focus on classification accuracy of signals recorded in a laboratory. The difference between the constrained ...