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Improved Classification of Myoelectric Signals by Using Normalized Signal Trains

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Computer Aided Systems Theory – EUROCAST 2019 (EUROCAST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12014))

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Abstract

Modern myoelectric hand prostheses, like the i-limbTM ultra from Touch Bionics and the BebionicTM hand from RSLSteeper, are advanced multi-finger prostheses which can perform several hand movements and assume various gestures [5].

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References

  1. Attenberger, A.: Time analysis for improved upper limb movement classification. Doctoral thesis, Universität der Bundeswehr München, Neubiberg (2016)

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  2. Farina, D., et al.: The Extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges. IEEE Trans. Neural Syst. Rehabil. Eng. 22(4), 797–809 (2014)

    Article  Google Scholar 

  3. Fougner, A., Stavdahl, Ø., Kyberd, P.J., Losier, Y.G., Parker, P.A.: Control of upper limb prostheses: terminology and proportional myoelectric control—a review. IEEE Trans. Neural Syst. Rehabil. Eng. 20(5), 663–677 (2012)

    Article  Google Scholar 

  4. Hudgins, B., Parker, P., Scott, R.N.: A new strategy for multifunction myoelectric control. IEEE Trans. Biomed. Eng. 40(1), 82–94 (1993)

    Article  Google Scholar 

  5. Riet, D.V.d., Stopforth, R., Bright, G., Diegel, O.: An overview and comparison of upper limb prosthetics. In: 2013 Africon, pp. 1–8 (2013)

    Google Scholar 

  6. Zardoshti-Kermani, M., Wheeler, B.C., Badie, K., Hashemi, R.M.: EMG feature evaluation for movement control of upper extremity prostheses. IEEE Trans. Rehabil. Eng. 3(4), 324–333 (1995)

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Author information

Authors and Affiliations

  1. Institut für Technische Informatik, Universität der Bundeswehr München, 85577, Neubiberg, Germany

    Philip Gaßner & Klaus Buchenrieder

Authors
  1. Philip Gaßner
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  2. Klaus Buchenrieder
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Correspondence to Philip Gaßner .

Editor information

Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Gaßner, P., Buchenrieder, K. (2020). Improved Classification of Myoelectric Signals by Using Normalized Signal Trains. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_46

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  • DOI: https://doi.org/10.1007/978-3-030-45096-0_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45095-3

  • Online ISBN: 978-3-030-45096-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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