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A Preliminary Tactile Conduction Model Based on Neural Electrical Properties Analysis

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Intelligent Robotics and Applications (ICIRA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13456))

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Abstract

The absence of tactile feedback leads to a high rejection rate from prostheses users and impedes the functional performance of dexterous hand prostheses. To effectively deliver tactile feedback, transcutaneous electrical nerve stimulation (TENS) has attracted extensive attention in the field of tactile sensation restoration, due to its advantages of non-invasive application and homology with neural signals. However, the modulation of electrotactile stimulation parameters still depends on operators’ experience instead of a theoretical guidance. Thus, this paper establishes a preliminary tactile conduction model which is expected to provide a theoretical foundation for the adjustment of electrotactile stimulation parameters. Based on a review of studies about the electrical conduction properties of electrodes and upper-limb tissues which are related to tactile generation process, a tactile conduction model is established to describe the neural signal transduction path from electrodes to tactile nerve fibres and the influence of different stimulation parameters on subjects’ sensation experience is briefly analysed.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No. 62003222) and the Research Fund of Liaoning Provincial Department of Education (Grant No. LQGD2020018).

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Authors and Affiliations

  1. Shenyang University of Technology, Liaoning, 110879, China

    **qing Li & Kairu Li

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  1. **qing Li
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  2. Kairu Li
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Correspondence to Kairu Li .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Honghai Liu

  2. Huazhong University of Science and Technology, Wuhan, China

    Zhou** Yin

  3. Shenyang Institute of Automation, Shenyang, Liaoning, China

    Lianqing Liu

  4. Harbin Institute of Technology, Harbin, China

    Li Jiang

  5. Shanghai Jiao Tong University, Shanghai, China

    Guoying Gu

  6. Shenzhen Institutes of Advanced Technology, Shenzhen, China

    **nyu Wu

  7. Harbin Institute of Technology, Shenzhen, China

    Weihong Ren

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Li, X., Li, K. (2022). A Preliminary Tactile Conduction Model Based on Neural Electrical Properties Analysis. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13456. Springer, Cham. https://doi.org/10.1007/978-3-031-13822-5_71

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  • DOI: https://doi.org/10.1007/978-3-031-13822-5_71

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-13822-5

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