• DocumentCode
    1771487
  • Title

    Nonlinear two stage mechanotransduction model and neural response of Pacinian Corpuscle

  • Author

    Biswas, Arijit ; Manivannan, M. ; Srinivasan, M.A.

  • Author_Institution
    Dept. of Appl. Mech., IIT Madras, Chennai, India
  • fYear
    2014
  • fDate
    6-8 May 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a biomechanical and neurophysiological model of skin and Pacinian Corpuscle (PC) to simulate its neural response over few 10s of Hz to 2000 Hz obtained from experiments. The PC neural responses are studied with sinusoidal stimuli to elucidate the relation between receptor potential and action potential and its variabilities. The overall model includes mechanical signal conditioning in both skin-layers and PC-lamellae, electro-mechanical transduction in the inner core of PC, followed by an improved Adaptive Relaxation Pulse Frequency Modulation (ARPFM). This model can be extended to simulate a group of PCs including many other variabilities in PC which will help in enhancing the technologies related to perception of vibration.
  • Keywords
    bioelectric potentials; biomechanics; electromechanical effects; neurophysiology; pulse frequency modulation; skin; vibrations; ARPFM; PC neural responses; action potential; adaptive relaxation pulse frequency modulation; biomechanical model; electromechanical transduction; mechanical signal conditioning; neurophysiological model; nonlinear two-stage mechanotransduction model; pacinian corpuscle; receptor potential; sinusoidal stimuli; skin; time 10 s; vibration perception; Adaptation models; Biological system modeling; Biomechanics; Charge transfer; Electric potential; Generators; Skin; Neurophysiology; Receptor Potential; Spike Rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Science and Engineering Center Conference (BSEC), 2014 Annual Oak Ridge National Laboratory
  • Conference_Location
    Oak Ridge, TN
  • Type

    conf

  • DOI
    10.1109/BSEC.2014.6867740
  • Filename
    6867740