4.7 Article

Explore Electrotactile Parametric Properties Using an Electrical Stimulation System

期刊

IEEE SENSORS JOURNAL
卷 22, 期 7, 页码 7053-7062

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3152185

关键词

Graphical user interfaces; Encoding; Electrical stimulation; Current measurement; Sensors; Electrodes; Skin; Electrical stimulation; electrotactile; psychophysical measurement

资金

  1. Shenzhen Science and Technology Program [JCYJ20210324120214040]
  2. Guangdong Science and Technology Research Council [2020B1515120064]
  3. National Natural Science Foundation of China [61733011, 62003222]

向作者/读者索取更多资源

This study focuses on exploring the parametric properties of electrotactile feedback using an electrical stimulation system and innovative measurement methods. The results show that the new bisection algorithm is more robust and achieves a 50% efficiency improvement, while individual differences and sensitivities can be quantified by the sensitivity index.
Influenced by multiple factors, to understand electrotactile properties is challenging but significant in comparing individual differences, parameters control and coding, and model studies. However, the inadequacy of measurement systems and methods limits the application and development of electrotactile feedback. This study focuses on the exploration of parametric properties using an electrical stimulation system (ESS) via innovative measurement methods and electrotactile control. A 6-channel portable stimulator and a graphical user interface (GUI) with interactive algorithms have been designed. Modified staircase method, bisection and parametric-random algorithms are developed for the psychophysical measurement of detection thresholds (DT), pain threshold (PT), just-noticeable difference (JND), parameter-intensity properties (PIP) and sensitivity index (SI). The system performance is verified by conducting four sub-experiments on eight subjects. Bisection algorithm is proved to be more robust (p < 0.05). JND measurement based on bisection algorithm achieves 50% efficiency improvement over traditional methods. The individual differences and sensitivities are quantified by SI. The JND and PIP measurement results indicate the potential for iso-resolution and iso-intensity control in information coding as well as parameter-intensity modelling. The results of this paper could provide a basis for tactile information encoding as well as an experimental platform for investigating perception mechanism.

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