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Related Concept Videos

Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex. This...

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Related Experiment Video

Updated: Jul 14, 2026

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
07:32

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

Detection of tumours using a computational tactile sensing approach.

Mohsen Hosseini1, Siamak Najarian, Samira Motaghinasab

  • 1Biomechanics Department, Laboratory of Artificial Tactile Sensing and Robotic Surgery, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|May 24, 2007
PubMed
Summary

A new method uses 3D modeling to detect embedded objects like tumors in biological tissue. This approach aids in non-invasive surgical procedures by predicting tumor characteristics through tactile sensing.

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Last Updated: Jul 14, 2026

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07:32

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Area of Science:

  • Biomedical Engineering
  • Computational Biology

Background:

  • A novel method is introduced for detecting embedded objects within biological tissues.
  • This research focuses on identifying simulated tumors within tissue models.

Purpose of the Study:

  • To develop and validate a computational method for detecting and characterizing embedded objects in biological tissue.
  • To assess the feasibility of using tactile sensing for non-invasive surgical guidance.

Main Methods:

  • Utilized Finite Element Method (FEM) for modeling biological tissue with a simulated tumor.
  • Determined surface indications of the tumor and extracted its shape, size, depth, and location.
  • Generated tactile images and stress graphs from simulation results.

Main Results:

  • Successfully identified the presence of the simulated tumor within the tissue model.
  • Maximum stress analysis was employed to generate tactile maps.
  • Simulation outcomes showed strong agreement with existing studies.

Conclusions:

  • The 3D analysis presents a new method for predicting tumor characteristics.
  • This technique can be integrated with tactile sensing for artificial palpation.
  • The method has direct applications in assisting surgeons during non-invasive procedures.