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A Smart Modular IoT Sensing Device for Enhancing Sensory Feedbacks in Surgical Robotics

Mafalda Rosa, Rongrong Liu, Giorgio Pitruzzello, Giuseppe Tortora

Year
2022
Citations
2
Access
Open access

Abstract

This paper proposes a device of sensing that could be integrated into the instruments of any surgical robot. Despite advances in robot-assisted laparoscopic surgery, the tools currently supplied to surgical robots have limited functions, due to the absence of sensorization. With this motivation, we present a preliminary work based on the design, development, and early stages of experimentation with smart and multifunctional devices of sensing for surgical tools. The proposed device of sensing has a proximity sensor, colorimetric sensor, and BLE connection for different surgical instruments to connect to each other. The proximity feedback allows the surgeon to know the distance of the instrument from a particular tissue, to operate in conditions of greater safety. With the colorimetric feedback, on the other hand, we intend to proceed to the identification of specific tissue areas with characteristics that are not typical of the physiological tissue. The results show that the device is promising and can be further developed for multiple clinical needs in robotic procedures. This system can effectively increase the functionality of surgical instruments by overcoming the sensing limitations introduced by using robots in laparoscopic surgery.

Keywords

Modular designRobotSurgical robotComputer scienceRoboticsArtificial intelligenceHuman–computer interactionIdentification (biology)Surgical proceduresLaparoscopic surgery

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