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

• Published in: IEEE transactions on biomedical circuits and systems Vol. 12; no. 6; pp. 1322 - 1333
• Main Authors: Wu, Yu, Jiang, Dai, Liu, Xiao, Bayford, Richard, Demosthenous, Andreas
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acidity; Analog circuits; Application specific integrated circuits; Artificial neural networks; Current driver; Current measurement; Electrical impedance; electrical impedance tomography; Electrodes; Forearm; Hand; hand prosthesis control; human–machine interface; Impedance; Instrumentation; instrumentation amplifier; Integrated circuits; Muscles; Neural networks; Power supplies; Prostheses; Prosthetics; Real time operation; Sodium channels; Switching theory; Tomography; Voltage measurement
• ISSN: 1932-4545; 1940-9990; 1940-9990
• DOI: 10.1109/TBCAS.2018.2878395

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 (that occupy an area of 0.07 mm 2 ). The ASIC operates from ±1.65 V power supplies and has a minimum bio-impedance sensitivity of 12.7 mΩ p-p .