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A Human-Machine Interface Using Electrical Impedance Tomography for Hand Prosthesis Control

Wu, Y; Jiang, D; Liu, X; Bayford, R; Demosthenous, A; (2018) A Human-Machine Interface Using Electrical Impedance Tomography for Hand Prosthesis Control. IEEE Transactions on Biomedical Circuits and Systems , 12 (6) pp. 1322-1333. 10.1109/TBCAS.2018.2878395.

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Abstract

This paper presents a human-machine interface that establishes a link between the user and a hand prosthesis. It successfully uses electrical impedance tomography, a conventional bio-impedance imaging technique, using an array of electrodes contained in a wristband on the user's forearm. Using a high-performance analog front-end application specific integrated circuit (ASIC) the user's forearm inner bio-impedance redistribution is accurately assessed. These bio-signatures are strongly related to hand motions and using artificial neural networks, they can be learned so as to recognize the user's intention in real-time for prosthesis operation. In this work, eleven hand motions are designed for prosthesis operation with a gesture switching enabled sub-grouping method. Experiments with five subjects show that the system can achieve 98.5% accuracy with a grouping of three gestures and an accuracy of 94.4% with two sets of five gestures. The ASIC comprises a current driver with common-mode reduction capability and a current feedback instrumentation amplifier. The ASIC operates from <formula><tex>$\pm$</tex></formula>1.65 V power supplies, occupies an area of 0.07 mm2, and has a minimum bio-impedance sensitivity of 12.7 m&#x03A9;p-p.

Type: Article A Human-Machine Interface Using Electrical Impedance Tomography for Hand Prosthesis Control An open access version is available from UCL Discovery 10.1109/TBCAS.2018.2878395 https://doi.org/10.1109/TBCAS.2018.2878395 English This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. Voltage measurement , Electrodes , Prosthetics , Tomography , Current measurement , Muscles , Impedance, Current driver , electrical impedance tomography , human machine interface , hand prosthesis control , instrumentation amplifier UCL > Provost and Vice Provost OfficesUCL > Provost and Vice Provost Offices > UCL BEAMSUCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering ScienceUCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng http://discovery.ucl.ac.uk/id/eprint/10061153