Abstract
While simultaneous and proportional activation of multiple degrees of freedom (DOFs) is supported by novel prosthetic hands, there are still no commercial controllers to appropriately enable it. Here, we test a ridge regression based myocontrol method in two real-time scenarios: 13 subjects with an extended high-density EMG electrode set (192 channels) and 4 subjects with a reduced set of electrodes (16 channels). In each scenario, the algorithm was trained on 3 repetitions of single DOF motions (rest, wrist flexion/extension and rotation, and hand closing) and then subjects were asked to reach 24 on-screen goals consisting of one-DOF, two-DOF, and three-DOF targets. The results showed that participants were able to reach all types of targets and that their one-DOF success rate remained high despite the simultaneous control of multiple DoFs (\(95.9\pm 5.7\%\)). Moreover, the performance did not significantly change when reducing the number of electrodes (\(97.6\pm 4.5\%\) for 16 channels).
The study was partially funded by the DFG project Tact_Hand (CA-1389/1-1) and the ERC Synergy project NaturalBionicS.
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Notes
- 1.
The EMG was gathered at 2048 Hz and treated with a 5th order Butterworth bandpass-filter (20–500 Hz). Features were calculated from the rectified, low-pass filtered signal (2nd order Butterworth at 2 Hz cut-off), and averaged across a window of 100 samples with a 3/4 overlap. The regularization parameter in RR was kept at 1.0.
- 2.
Sphericity and normality of the residuals were tested with Mauchly’s test and with Shapiro-Wilk test, respectively. Furthermore, since repeated measures ANOVA cannot deal with missing data, we additionally performed a multi-level linear analysis, which confirmed the findings.
References
I. Vujaklija, D. Farina, O.C. Aszmann, New developments in prosthetic arm systems. Orthopedic Res. Rev. 8, 31 (2016)
Complete Control Handbook, Coapt LLC (Chicago IL, 2018)
Ottobock, Technology for people 4.0: Ottobock at OTWorld 2018. https://www.ottobock.com/en/newsroom/news/technology-for-people-4-0-ottobock-at-otworld-2018.html (2018) (Online Accessed: 25 May 2020)
M. Ortiz-Catalan, B. Håkansson, R. Brånemark, Real-time and simultaneous control of artificial limbs based on pattern recognition algorithms. IEEE Trans. Neural Syst. Rehab. Eng. 22(4), 756–764 (2014)
I. Vujaklija, Novel control strategies for upper limb prosthetics, in International Conference on NeuroRehabilitation (Springer, Heidelberg, 2018), pp. 171–174
M. Ison, I. Vujaklija, B. Whitsell, D. Farina, P. Artemiadis, Simultaneous myoelectric control of a robot arm using muscle synergy-inspired inputs from high-density electrode grids,” in 2015 IEEE International Conference on Robotics and Automation (ICRA) (2015), pp. 6469–6474
J.M. Hahne, M.A. Schweisfurth, M. Koppe, D. Farina, Simultaneous control of multiple functions of bionic hand prostheses: performance and robustness in end users. Sci. Robot. 3(19), eaat3630 (2018)
C. Castellini, R.M. Bongers, M. Nowak, C.K. van der Sluis, Upper-limb prosthetic myocontrol: two recommendations. Front. Neurosci. 9, 496 (2016)
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Nowak, M., Vujaklija, I., Castellini, C., Farina, D. (2022). Highly Intuitive 3-DOF Simultaneous and Proportional Myocontrol of Wrist and Hand. In: Torricelli, D., Akay, M., Pons, J.L. (eds) Converging Clinical and Engineering Research on Neurorehabilitation IV. ICNR 2020. Biosystems & Biorobotics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-70316-5_60
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