An Advanced Hardware Platform for Modern Hand-Prostheses
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.
KeywordsElectromyography EMG Prosthetic hands
- 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
- 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