Perceptual surgical knife with wavelet denoising

Tao Li, Yuta Sunami, Sheng Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Robotic surgery is a new technology in medical applications and has been undergoing rapid development. The surgical knife, essential for robotic surgery, has the ability to determine the success of an operation. In this paper, on the basis of the principle of field-effect transistors (FETs), a perceptual surgical knife is proposed to detect the electrons or electric field of the human body with distinguishable signals. In addition, it is difficult to discriminate between the motions of surgical knives from the perceptual signals that are disturbed by high-frequency Gaussian white noise. Therefore, the wavelet denoising approach is chosen to reduce the high-frequency noise. The proposed perceptual surgical knife with the wavelet denoising method has the characteristics of high sensitivity, low cost, and good repeatability.

Original languageEnglish
Article number79
JournalMicromachines
Volume9
Issue number2
DOIs
Publication statusPublished - 2018 Feb 13
Externally publishedYes

Keywords

  • Field-effect transistor (FET)
  • Perception
  • Robotic surgery
  • Surgical knife
  • Wavelet denoising

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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