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An Advanced Hardware Platform for Modern Hand-Prostheses

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Book cover Computer Aided Systems Theory – EUROCAST 2017 (EUROCAST 2017)

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Abstract

While commercially available prostheses have seen mechanical improvements in recent years, new and improved myoelectric control schemes have been proposed in academia but have not made it into readily available devices. Conversely, current commercial prostheses only allow a limited number of analog-only input channels and can not be easily modified. However, research on myoelectric control schemes is frequently conducted using a higher number of channels and new control schemes necessitate the modification of the hand prostheses firmware.

In this contribution, we present new electronics and firmware for the commercial Steeper bebionic hand prosthesis. The firmware implements different control schemes for analog and digital sensors. To support both types of sensors, we bring forward a communication scheme for a combined interface, ensuring backwards compatibility.

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References

  1. Attenberger, A., Buchenrieder, K.: Modeling and visualization of classification-based control schemes for upper limb prostheses. In: 2012 IEEE 19th International Conference and Workshops on Engineering of Computer-Based Systems, pp. 188–194, April 2012. https://doi.org/10.1109/ECBS.2012.32

  2. Herrmann, S., Buchenrieder, K.: Fusion of myoelectric and near-infrared signals for prostheses control. In: Proceedings of the 4th International Convention on Rehabilitation Engineering & Assistive Technology, iCREATe 2010, pp. 54:154:4. Singapore Therapeutic, Assistive & Rehabilitative Technologies (START) Centre, Kaki Bukit TechPark II, Singapore (2010)

    Google Scholar 

  3. Krausz, N.E., Rorrer, R.A.L., Weir, R.F.ff.: Design and fabrication of a six degree-of-freedom open source hand. IEEE Trans. Neural Syst. Rehabil. Eng. 24(5), 562–572 (2016). https://doi.org/10.1109/TNSRE.2015.2440177

  4. McGimpsey, G., Bradford, T.C.: Limb prosthetics services and devices - critical unmet need: market analysis. White Paper, Bioengineering Institute Center for Neuroprosthetics, Worcester Polytechnic Institute, Worcester (2008)

    Google Scholar 

  5. McLean, L., Scott, R.N.: The early history of myoelectric control of prosthetic limbs (1945–1970). In: Muzumdar, A. (ed.) Powered Upper Limb Prostheses - Control, Implementation and Clinical Application, pp. 1–15. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-642-18812-1_1

    Google Scholar 

  6. Phinyomark, A., Quaine, F., Charbonnier, S., Serviere, C., Tarpin-Bernard, F., Laurillau, Y.: EMG feature evaluation for improving myoelectric pattern recognition robustness. Expert Syst. Appl. 40(12), 4832–4840 (2013). https://doi.org/10.1016/j.eswa.2013.02.023

    Article  Google Scholar 

  7. Resnik, L., Klinger, S.L., Etter, K.: The DEKA arm: its features, functionality, and evolution during the veterans affairs study to optimize the DEKA arm. Prosthet. Orthot. Int. 38(6), 492–504 (2014). https://doi.org/10.1177/0309364613506913

    Article  Google Scholar 

  8. Scott, S.H., Kalaska, J.F.: Reaching movements with similar hand paths but different arm orientations. I. Activity of individual cells in motor cortex. J. Neurophysiol. 77(2), 826–852 (1997)

    Article  Google Scholar 

  9. Singh, R.M., Chatterji, S., Kumar, A.: Trends and challenges in EMG based control scheme of exoskeleton robots—a review. Int. J. Sci. Eng. Res. 3(8), 933–940 (2012)

    Google Scholar 

  10. Trachtenberg, M.S., Singhal, G., Kaliki, R., Smith, R.J., Thakor, N.V.: Radio frequency identification - an innovative solution to guide dexterous prosthetic hands. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3511–3514 (2011). https://doi.org/10.1109/IEMBS.2011.6090948

  11. Wang, J., Ren, H., Chen, W., Zhang, P.: A portable artificial robotic hand controlled by EMG signal using ANN classifier. In: 2015 IEEE International Conference on Information and Automation, pp. 2709–2714, August 2015. https://doi.org/10.1109/ICInfA.2015.7279744

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Correspondence to Peter Hegen .

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Hegen, P., Buchenrieder, K. (2018). An Advanced Hardware Platform for Modern Hand-Prostheses. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science(), vol 10672. Springer, Cham. https://doi.org/10.1007/978-3-319-74727-9_41

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  • DOI: https://doi.org/10.1007/978-3-319-74727-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74726-2

  • Online ISBN: 978-3-319-74727-9

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