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A Wearable Hand Neuroprosthesis for Hand Rehabilitation After Stroke: Preliminary Results of the RETRAINER S2 Randomized Controlled Trial Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Evaluation of Hand-Grip Features Using Low-Cost Electromyography

Authors : A. Jover, G. Martí, F. Torres, S. T. Puente, A. Úbeda

Published in: Converging Clinical and Engineering Research on Neurorehabilitation III

Publisher: Springer International Publishing

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Abstract

In this paper, we evaluate the performance of a low-cost surface electromyographic (sEMG) device in the classification of different hand-grip features. To that end, hand-pressure information has been measured together with the sEMG activity of the forearm during the performance of grasping activities with three different finger groups. Results show that affordable sEMG sensoring can accurately differentiate between different grasping poses and is also capable, at the same time, of decoding hand force levels.

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previous chapter Hybrid Robotic System for Arm Training After Stroke: Preliminary Results of a Randomized Controlled Trial
next chapter Progress Towards the Development of the DeTOP Hand Prosthesis: A Sensorized Transradial Prosthesis for Clinical Use
Literature
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Chowdhury, R.H., Reaz, M.B.I., Ali, M.A.B.M., Bakar, A.A.A., Chellappan, K., Chang, T.G.: Surface electromyography signal processing and classification techniques. Sensors 13(9), 12431–12466 (2013)CrossRef
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Geethanjali, P.: Myoelectric control of prosthetic hands: state-of-the-art review. Med. Devices 9, 247–255 (2016)CrossRef
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J. ten Kate, Smit, G., Breedveld, P.: 3D-printed upper limb prostheses: a review. Disabil. Rehabil.: Assist. Technol. 7(4) (2012)
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Abdallah, I.B., Bouteraa, Y., Rekik, C.: Design and development of 3D printed myoelectric robotic exoskeleton for hand rehabilitation. Int. J. Smart Sens. Intell. Syst. 10(2), 341–366 (2017)
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Connan, M., Ramírez, E.R., Vodermayer, B., Castellini, C.: Assessment of a wearable force- and electromyography device and comparison of the related signals for myocontrol. Front. Neurorobot. 10(17) (2016)
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Kasuya, M., Seki, M., Kawamura, K., Kobayashi, Y., Fujie, M.G., Yokoi, H.: Robust grip force estimation under electric feedback using muscle stiffness and electromyography for powered prosthetic hand. In: 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, pp. 93-98 (2013)
Metadata
Title
Evaluation of Hand-Grip Features Using Low-Cost Electromyography
Authors
A. Jover
G. Martí
F. Torres
S. T. Puente
A. Úbeda
Copyright Year
2019
Book
Converging Clinical and Engineering Research on Neurorehabilitation III

Print ISBN: 978-3-030-01844-3

Electronic ISBN: 978-3-030-01845-0

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-01845-0_19