Perceptual surgical knife with wavelet denoising

Tao Li, Yuta Sunami, Sheng Zhang

研究成果: Article査読

抄録

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.

本文言語English
論文番号79
ジャーナルMicromachines
9
2
DOI
出版ステータスPublished - 2018 2 13
外部発表はい

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 機械工学
  • 電子工学および電気工学

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