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 elucidat. The relation between receptor potential and action potential and its variabilities. The overall model includes mechanical signal conditioning in both skinlayers and PC-lamellae, electro-mechanical transduction i. 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 enhancin. The technologies related to perception of vibration.

Manivannan Muniyandi

Department of Applied Mechanics

Frequency modulation

Neurophysiology

PULSE TIME MODULATION

signal transduction

Action potentials

Electro-mechanical

INNER CORE

mechanotransduction

NEURAL RESPONSE

NEUROPHYSIOLOGICAL MODEL

OVERALL-MODEL

RECEPTOR POTENTIAL

Microcomputers

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

Nonlinear two stage mechanotransduction model and neural response of Pacinian Corpuscle

Proceedings of the 2014 Biomedical Sciences and Engineering Conference - 5th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations - The Multi-Scale Brain: Spanning Molecular, Cellular, Systems, Cognitive, Behavioral, and Clinical Neuroscience, BSEC 2014

This paper describes a multiscale analytical model of the lamellar structure and the biomechanical response of the Pacinian Corpuscle (PC). In order to analyze the contribution of the PC lamellar structure for detecting high-frequency vibrotactile (VT) stimuli covering 10 Hz to a few kHz, the model response is studied against trapezoidal and sinusoidal stimuli. The model identifies a few generalizable features of the lamellar structure which makes it scalable for different sizes of PC with different number of lamellae. The model describes the mechanical signal conditioning of the lamellar structure in terms of a recursive transfer-function, termed as the Compression-Transmittance-Transfer-Function (CTTF). The analytical results show that with the increase of the PC layer index above 15, the PC inner core (IC) relaxes within 1 ms against step compression of the outermost layer. This model also considers the mass of each PC layer to investigate its effect on the biomechanical response of the lamellar structure. The interlamellar spacing and its biomechanical properties along with the model response are validated with experimental data in the literature. The proposed model can be used for simulating a network of PCs considering their diversity for analyzing the high-frequency VT sensitivity of the human skin. © 2008-2011 IEEE.

Fulltext

IEEE Transactions on Haptics

Multiscale Layered Biomechanical Model of the Pacinian Corpuscle

This paper describes a wide band biomechanical model of Pacinian Corpuscle (PC) embedded in skin and its response against the trapezoidal and sinusoidal stimuli in order to study human vibrotactile (VT) sensitivity near the VT Sensitivity Threshold (VTST) covering few 10s of Hz to few kHz. The overall model includes mechanical signal conditioning in both skin layers and PC lamellae. The developed model describes the mechanical signal processing of the PC lamellar structure in a recursive transfer function and its response is validated against the data from literature. © 2013 IEEE.

Proceedings of the 2013 4th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations, BSEC 2013

A biomechanical model of pacinian corpuscle & skin

Journal of Neurophysiology

A simple model of mechanotransduction in primate glabrous skin

Proceedings of the National Academy of Sciences

Mechanistic basis for low threshold mechanosensitivity in voltage-dependent K+ channels

2008 IEEE Biomedical Circuits and Systems Conference

Conveying tactile feedback using a model of mechanotransduction

Journal of Neuroscience

The Neural Coding of Stimulus Intensity: Linking the Population Response of Mechanoreceptive Afferents with Psychophysical Behavior

Nonlinear Two Stage Mechanotransduction Model and Neural Response of Pacinian Corpuscle

Journal	Data powered by TypesetProceedings of the 2014 Biomedical Sciences and Engineering Conference - 5th Annual ORNL Biomedical Sciences and Engineering Conference: Collaborative Biomedical Innovations - The Multi-Scale Brain: Spanning Molecular, Cellular, Systems, Cognitive, Behavioral, and Clinical Neuroscience, BSEC 2014
Publisher	Data powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open Access	No