S. Ullrich, T. Kuhlen, Haptic palpation for medical simulation in virtual environments, Visualization and Computer Graphics, IEEE Transactions on, Vol. 18, No. 4, pp. 617-625, 2012.
 S. E. Waggoner, Cervical cancer, The Lancet, Vol. 361, No. 9376, pp. 2217-2225, 2003.
 J. Kim, B. Ahn, S. De, M. A. Srinivasan, An efficient soft tissue characterization algorithm from in vivo indentation experiments for medical simulation, The international journal of medical robotics and computer assisted surgery, Vol. 4, No. 3, pp. 277-285, 2008.
 P. Dario, M. Bergamasco, An advanced robot system for automated diagnostic tasks through palpation, Biomedical Engineering, IEEE Transactions on, Vol. 35, No. 2, pp. 118-126, 1988.
 A. Bicchi, G. Canepa, D. D. Rossi, P. Iacconi, E. P. Scillingo, A sensor-based minimally invasive surgery tool for detecting tissue elastic properties, in Proceeding of, IEEE, pp. 884-888.
 E. Scilingo, D. DeRossi, A. Bicchi, P. Iacconi, Haptic display for replication of rheological behavior of surgical tissues: modelling, control, and experiments, in Proceeding of.
 Z. Matin Ghahfarokhi, M. Salmani Tehrani, M. Moghimi Zand, M. Mahzoon, A Computational study on the effect of different design parameters on the accuracy of biopsy procedure, Journal of Computational Applied Mechanics, Vol. 46, No. 2, pp. 221-231, 2015.
 J. Yan, P. K. Scott, R. S. Fearing, Inclusion probing: signal detection and haptic playback of 2D FEM and experimental data, in Proceeding of, 14-19.
 V. Egorov, H. Van Raalte, A. P. Sarvazyan, Vaginal tactile imaging, Biomedical Engineering, IEEE Transactions on, Vol. 57, No. 7, pp. 1736-1744, 2010.
 F. J. Carter, T. G. Frank, P. J. Davies, D. McLean, A. Cuschieri, Measurements and modelling of the compliance of human and porcine organs, Medical Image Analysis, Vol. 5, No. 4, pp. 231-236, 2001.
 M. P. Ottensmeyer, Minimally invasive instrument for in vivo measurement of solid organ mechanical impedance, Thesis, Massachusetts Institute of Technology, 2001.
 M. P. Ottensmeyer, A. E. Kerdok, R. D. Howe, S. L. Dawson, The effects of testing environment on the viscoelastic properties of soft tissues, in: Medical Simulation, Eds., pp. 9-18: Springer, 2004.
 E. Samur, M. Sedef, C. Basdogan, L. Avtan, O. Duzgun, A robotic indenter for minimally invasive measurement and characterization of soft tissue response, Medical Image Analysis, Vol. 11, No. 4, pp. 361-373, 2007.
 H. Liu, D. P. Noonan, K. Althoefer, L. D. Seneviratne, Rolling mechanical imaging: a novel approach for soft tissue modelling and identification during minimally invasive surgery, in Proceeding of, IEEE, pp. 845-850.
 H. Liu, D. P. Noonan, B. J. Challacombe, P. Dasgupta, L. D. Seneviratne, K. Althoefer, Rolling mechanical imaging for tissue abnormality localization during minimally invasive surgery, Biomedical Engineering, IEEE Transactions on, Vol. 57, No. 2, pp. 404-414, 2010.
 K. Sangpradit, H. Liu, L. D. Seneviratne, K. Althoefer, Tissue identification using inverse finite element analysis of rolling indentation, in Proceeding of, IEEE, pp. 1250-1255.
 K. Sangpradit, H. Liu, P. Dasgupta, K. Althoefer, L. D. Seneviratne, Finite-element modeling of soft tissue rolling indentation, Biomedical Engineering, IEEE Transactions on, Vol. 58, No. 12, pp. 3319-3327, 2011.
 P.-L. Yen, D.-R. Chen, K.-T. Yeh, P.-Y. Chu, Lateral exploration strategy for differentiating the stiffness ratio of an inclusion in soft tissue, Medical engineering & physics, Vol. 30, No. 8, pp. 1013-1019, 2008.
 S. Chonan, Z. W. Jiang, M. Tanaka, T. Kato, M. Kamei, Y. Tanahashi, Development of a palpation sensor for detection of prostatic cancer and hypertrophy (optimum structural design of sensor), International Journal of Applied Electromagnetics and Mechanics, Vol. 9, No. 1, pp. 25-38, 1998.
 M. Tanaka, H. Nesori, Y. Tanahashi, Development of an active palpation sensor wearable on a finger for detecting prostate cancer and hypertrophy, Ann of NanoBME, Vol. 1, pp. 141-147, 2008.
 L. Han, A. Noble, M. Burcher, The elastic reconstruction of soft tissues, in Proceeding of, IEEE, pp. 1035-1038.
 J. Kim, M. A. Srinivasan, Characterization of viscoelastic soft tissue properties from in vivo animal experiments and inverse FE parameter estimation, in: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005, Eds., pp. 599-606: Springer, 2005.
 I. Kato, K. Koganezawa, A. Takanishi, Automatic breast cancer palpation robot: WAPRO-4, Advanced Robotics, Vol. 3, No. 4, pp. 251-261, 1988.
 T. P. Prevost, A. Balakrishnan, S. Suresh, S. Socrate, Biomechanics of brain tissue, Acta biomaterialia, Vol. 7, No. 1, pp. 83-95, 2011.
 X. Wang, J. A. Schoen, M. E. Rentschler, A quantitative comparison of soft tissue compressive viscoelastic model accuracy, Journal of the mechanical behavior of biomedical materials, Vol. 20, pp. 126-136, 2013.
 M. Farshad, M. Barbezat, P. Flüeler, F. Schmidlin, P. Graber, P. Niederer, Material characterization of the pig kidney in relation with the biomechanical analysis of renal trauma, Journal of Biomechanics, Vol. 32, No. 4, pp. 417-425, 1999.
 P. J. Davies, F. J. Carter, D. G. Roxburgh, A. Cuschieri, Mathematical Modelling for Keyhole Surgery Simulations: Spleen Capsule as an Elastic Membrabe, Computational and Mathematical Methods in Medicine, Vol. 1, No. 4, pp. 247-262, 1999.
 H. Liu, D. P. Noonan, Y. H. Zweiri, K. Althoefer, L. D. Seneviratne, The development of nonlinear viscoelastic model for the application of soft tissue identification, in Proceeding of, IEEE, pp. 208-213.
 A. J. Madhani, Design of teleoperated surgical instruments for minimally invasive surgery, 1998.
 E. Karadogan, R. L. Williams, J. N. Howell, R. R. Conatser Jr, A stiffness discrimination experiment including analysis of palpation forces and velocities, Simulation in Healthcare, Vol. 5, No. 5, pp. 279-288, 2010.
 A. E. Kerdok, Characterizing the nonlinear mechanical response of liver to surgical manipulation, Thesis, Harvard University Cambridge, MA, 2006.
 R. Ghajar, M. Shokrieh, A. R. Shajari, Transient thermo-visco-elastic response of a functionally graded non-axisymmetric cylinder, Journal of Computational Applied Mechanics, Vol. 46, No. 2, pp. 191-204, 2015.
 M. Choulaie, A. Khademifar, Nonlinear Vibration and Stability Analysis of Beam on the Variable Viscoelastic Foundation, Journal of Computational Applied Mechanics, Vol. 48, No. 1, pp. 99-110, 2017.
 H. W. Haslach, Nonlinear viscoelastic, thermodynamically consistent, models for biological soft tissue, Biomechanics and Modeling in Mechanobiology, Vol. 3, No. 3, pp. 172-189, 2005.
 H. F. Brinson, L. C. Brinson, Polymer engineering science and viscoelasticity, in: Eds., pp. 172, Berlin: Springer, 2008.
 M. Sedef, E. Samur, C. Basdogan, Real-time finite-element simulation of linear viscoelastic tissue behavior based on experimental data, IEEE Computer Graphics and Applications, Vol. 26, No. 6, 2006.
 E. Clayton, J. Garbow, P. Bayly, Frequency-dependent viscoelastic parameters of mouse brain tissue estimated by MR elastography, Physics in medicine and biology, Vol. 56, No. 8, pp. 2391, 2011.
 M. Caputo, J. M. Carcione, F. Cavallini, Wave simulation in biologic media based on the Kelvin-Voigt fractional-derivative stress-strain relation, Ultrasound in medicine & biology, Vol. 37, No. 6, pp. 996-1004, 2011.
 T. Söderström, P. Stoica, 1988, System identification, Prentice-Hall, Inc.,
 J. Funk, G. Hall, J. Crandall, W. Pilkey, Linear and quasi-linear viscoelastic characterization of ankle ligaments, Journal of biomechanical engineering, Vol. 122, No. 1, pp. 15-22, 2000.
 A. Papoulis, S. U. Pillai, 2002, Probability, random variables, and stochastic processes, Tata McGraw-Hill Education,