Literature DB >> 14618927

3-D finite-element models of human and monkey fingertips to investigate the mechanics of tactile sense.

Kiran Dandekar1, Balasundar I Raju, Mandayam A Srinivasan.   

Abstract

The biomechanics of skin and underlying tissues plays a fundamental role in the human sense of touch. It governs the mechanics of contact between the skin and an object, the transmission of the mechanical signals through the skin, and their transduction into neural signals by the mechanoreceptors. To better understand the mechanics of touch, it is necessary to establish quantitative relationships between the loads imposed on the skin by an object, the state of stresses/strains at mechanoreceptor locations, and the resulting neural response. Towards this goal, 3-D finite-element models of human and monkey fingertips with realistic external geometries were developed. By computing fingertip model deformations under line loads, it was shown that a multi-layered model was necessary to match previously obtained in vivo data on skin surface displacements. An optimal ratio of elastic moduli of the layers was determined through numerical experiments whose results were matched with empirical data. Numerical values of the elastic moduli of the skin layers were obtained by matching computed results with empirically determined force-displacement relationships for a variety of indentors. Finally, as an example of the relevance of the model to the study of tactile neural response, the multilayered 3-D finite-element model was shown to be able to predict the responses of the slowly adapting type I (SA-I) mechanoreceptors to indentations by complex object shapes.

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Mesh:

Year:  2003        PMID: 14618927     DOI: 10.1115/1.1613673

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  38 in total

1.  Comparative study of application accuracy of two frameless neuronavigation systems: experimental error assessment quantifying registration methods and clinically influencing factors.

Authors:  Dimitrios Paraskevopoulos; Andreas Unterberg; Roland Metzner; Jens Dreyhaupt; Georg Eggers; Christian Rainer Wirtz
Journal:  Neurosurg Rev       Date:  2011-01-19       Impact factor: 3.042

2.  Effect of skin-transmitted vibration enhancement on vibrotactile perception.

Authors:  Yoshihiro Tanaka; Yuichiro Ueda; Akihito Sano
Journal:  Exp Brain Res       Date:  2015-03-19       Impact factor: 1.972

3.  Viscoelastic characterization of the primate finger pad in vivo by microstep indentation and three-dimensional finite element models for tactile sensation studies.

Authors:  Siddarth Kumar; Gang Liu; David W Schloerb; Mandayam A Srinivasan
Journal:  J Biomech Eng       Date:  2015-03-18       Impact factor: 2.097

Review 4.  Mathematical and computational modelling of skin biophysics: a review.

Authors:  Georges Limbert
Journal:  Proc Math Phys Eng Sci       Date:  2017-07-26       Impact factor: 2.704

5.  Simulating tactile signals from the whole hand with millisecond precision.

Authors:  Hannes P Saal; Benoit P Delhaye; Brandon C Rayhaun; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

6.  Contact mechanics of the human finger pad under compressive loads.

Authors:  Brygida M Dzidek; Michael J Adams; James W Andrews; Zhibing Zhang; Simon A Johnson
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

7.  Coordination of contact forces during multifinger static prehension.

Authors:  Joel R Martin; Mark L Latash; Vladimir M Zatsiorsky
Journal:  J Appl Biomech       Date:  2011-05       Impact factor: 1.833

8.  Computational modeling indicates that surface pressure can be reliably conveyed to tactile receptors even amidst changes in skin mechanics.

Authors:  Yuxiang Wang; Yoshichika Baba; Ellen A Lumpkin; Gregory J Gerling
Journal:  J Neurophysiol       Date:  2016-04-20       Impact factor: 2.714

9.  Neural coding of passive lump detection in compliant artificial tissue.

Authors:  James C Gwilliam; Takashi Yoshioka; Allison M Okamura; Steven S Hsiao
Journal:  J Neurophysiol       Date:  2014-05-07       Impact factor: 2.714

10.  Validating a population model of tactile mechanotransduction of slowly adapting type I afferents at levels of skin mechanics, single-unit response and psychophysics.

Authors:  Gregory J Gerling; Isabelle I Rivest; Daine R Lesniak; Jacob R Scanlon; Lingtian Wan
Journal:  IEEE Trans Haptics       Date:  2014 Apr-Jun       Impact factor: 2.487

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