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Method for Optimal Digit Alignment for the Fitting of Partial Hand Powered Prostheses: A Preliminary Study

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Converging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 21))

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Abstract

Current fitting procedures of powered partial hand prostheses heavily rely on manual “trial & error” approaches by skilled prosthetists without taking advantage of more modern engineering enabling technologies. Here we preliminary present an optimization method for the placement of the powered digits based on a biomechanical simplified model. The mathematical model is built taking into account the geometry of the residual limb, the functional conditions of the stump and the kinematics of the prosthesis. The optimization refers to the distance, on the palm plane, between the basements of two opposing digits. In particular it focused on the opposition capability of a prosthetic index digit with an unpaired thumb in a pinch grasp. The optimal posture is the one that allows the maximum control accuracy of the force along the direction of the grasp. We argue that the proposed method could be used to predict the quality of the fitting and to standardize the process.

This work was supported by the National Workers’ Compensation (INAIL) under the PPR3 and PPR 1/2 AS CECA2020 grants.

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References

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Acknowledgments

We would like to warmly thank Dr. Andrea Cutti because this work would not have been possible without the inspiring discussions we had with him.

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Correspondence to I. Imbinto .

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Imbinto, I., Controzzi, M., Cipriani, C. (2019). Method for Optimal Digit Alignment for the Fitting of Partial Hand Powered Prostheses: A Preliminary Study. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_26

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  • DOI: https://doi.org/10.1007/978-3-030-01845-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01844-3

  • Online ISBN: 978-3-030-01845-0

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