Literature DB >> 19697262

Electrotactile stimulation on the tongue: Intensity perception, discrimination, and cross-modality estimation.

Cecil A Lozano1, Kurt A Kaczmarek, Marco Santello.   

Abstract

Due to its high sensitivity and conductivity, electrotactile stimulation (ETS) on the tongue has proven to be a useful and technically convenient tool to substitute and/or augment sensory capabilities. However, most of its applications have only provided spatial attributes and little is known about (a) the ability of the tongue's sensory system to process electrical stimuli of varying magnitudes and (b) how modulation of ETS intensity affects subjects' ability to decode stimulus intensity. We addressed these questions by quantifying: (1) the magnitude of the dynamic range (DR; maximal comfortable intensity/perception threshold) and its sensitivity to prolonged exposure; (2) subjects' ability to perceive intensity changes; and (3) subjects' ability to associate intensity with angular excursions of a protractor's handle. We found that the average DR (17 dB) was generally large in comparison with other tactile loci and of a relatively constant magnitude among subjects, even after prolonged exposure, despite a slight but significant upward drift (p < 0.001). Additionally, our results showed that as stimulus intensity increased, subjects' ability to discriminate ETS stimuli of different intensities improved (p < 0.05) while estimation accuracy, in general, slightly decreased (increasing underestimation). These results suggest that higher ETS intensity may increase recruitment of rapidly adapting mechanoreceptor fibers, as these are specialized for coding stimulus differences rather than absolute intensities. Furthermore, our study revealed that the tongue's sensory system can effectively convey electrical stimuli despite minimal practice and when information transfer is limited by memory and DR drift.

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Year:  2009        PMID: 19697262      PMCID: PMC2839388          DOI: 10.1080/08990220903158797

Source DB:  PubMed          Journal:  Somatosens Mot Res        ISSN: 0899-0220            Impact factor:   1.111


  37 in total

Review 1.  Tactile functions of mechanoreceptive afferents innervating the hand.

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Authors:  M A García-Pérez
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3.  Maximal dynamic range electrotactile stimulation waveforms.

Authors:  K A Kaczmarek; J G Webster; R G Radwin
Journal:  IEEE Trans Biomed Eng       Date:  1992-07       Impact factor: 4.538

4.  Closing an open-loop control system: vestibular substitution through the tongue.

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5.  Electrotactile and vibrotactile displays for sensory substitution systems.

Authors:  K A Kaczmarek; J G Webster; P Bach-y-Rita; W J Tompkins
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6.  Sensory supplementation system based on electrotactile tongue biofeedback of head position for balance control.

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7.  Human ability to discriminate various parameters in afferent electrical nerve stimulation with particular reference to prostheses sensory feedback.

Authors:  A B Anani; K Ikeda; L M Körner
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8.  Relations between intra-modal and cross-modal matching.

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9.  The perceptual properties of electrocutaneous stimulation: sensory quality, subjective intensity, and intensity-duration relation.

Authors:  T Tashiro; A Higashiyama
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6.  Perceived Intensity and Discrimination Ability for Lingual Electrotactile Stimulation Depends on Location and Orientation of Electrodes.

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7.  Stochastic Bioimpedance-Based Channel Model of The Human Body for Galvanic Coupling.

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