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Building An Open-source Robotic Stereotaxic Instrument
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Texture differentiation using audio signal analysis with robotic interventional instruments.

C H Chen1, T Sühn1, M Kalmar1

  • 1INKA Intelligente Katheter, Otto-von-Guericke University, Magdeburg, Germany.

Computers in Biology and Medicine
|August 3, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an acoustic emission method to restore the sense of touch in robotic minimally invasive surgery (RMIS). Audio analysis of grasper-tissue interactions reveals texture correlations, enhancing surgical feedback.

Keywords:
Acoustic emissionHaptic feedbackNon-invasive sensor placementRobotic minimally invasive surgerySignal processing

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Area of Science:

  • Robotics
  • Surgical Technology
  • Biomedical Engineering

Background:

  • Robotic minimally invasive surgery (RMIS) often lacks tactile feedback crucial for traditional surgery.
  • Existing haptic sensors for RMIS face challenges including integration, cost, sterilization, and limited sensing areas.
  • Restoring the sense of touch is vital for improving surgeon performance and patient outcomes in RMIS.

Purpose of the Study:

  • To adapt acoustic emission technology for capturing tool-tissue interaction sounds during RMIS.
  • To present a proof-of-concept for using audio feedback from a RMIS grasper.
  • To explore the potential of acoustic signals for providing tactile information in robotic surgery.

Main Methods:

  • Developed a system to acquire audio information from a RMIS grasper during tissue interaction.
  • Recorded interactions between the grasper and various artificial and biological textures.
  • Applied advanced signal processing techniques to analyze the recorded audio data.

Main Results:

  • Identified a clear correlation between specific audio spectral components and the tested textures.
  • Demonstrated the feasibility of using acoustic emission for texture discrimination in RMIS.
  • Established a foundation for developing novel haptic feedback systems based on sound.

Conclusions:

  • Acoustic emission is a promising, non-invasive method for restoring tactile sensation in RMIS.
  • The developed technique offers a potential solution to the limitations of current haptic feedback systems.
  • Further research can lead to enhanced surgical guidance and improved safety in robotic procedures.