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Micromachines 2018, 9(2), 79; https://doi.org/10.3390/mi9020079

Perceptual Surgical Knife with Wavelet Denoising

1,†
,
2,3,* and 2,†,*
1
Institute of Innovative Science and Technology, Tokai University, Hiratsuka-shi 259-1292, Japan
2
Micro/Nano Technology Center, Tokai University, Hiratsuka-shi 259-1292, Japan
3
Department of Mechanical Engineering, Tokai University, Hiratsuka-shi 259-1292, Japan
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Received: 28 December 2017 / Revised: 22 January 2018 / Accepted: 11 February 2018 / Published: 13 February 2018
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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. View Full-Text
Keywords: surgical knife; field-effect transistor (FET); wavelet denoising; perception; robotic surgery surgical knife; field-effect transistor (FET); wavelet denoising; perception; robotic surgery
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Li, T.; Sunami, Y.; Zhang, S. Perceptual Surgical Knife with Wavelet Denoising. Micromachines 2018, 9, 79.

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