학술논문

A Method for Estimating Doctor's Fatigue Level in Operating a Surgical Robot Using Wearable Sensors
Document Type
Conference
Source
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2021 IEEE International Conference on. :38-43 Mar, 2021
Subject
Computing and Processing
Training
Medical robotics
Conferences
Wearable computers
Estimation
Medical services
Fatigue
wearable computing
context awareness
surgical robot
fatigue estimation
Language
Abstract
Robot-assisted laparoscopic surgery, such as the da Vinci Surgical System, has a problem in that surgeons might continue operating for a long period of time without realizing their fatigue and without proper concentration, or they might ignore their fatigue even when they notice it. We propose a method for quantitatively estimating the level fatigue by attaching wearable sensors to a doctor while using a surgical robot. In this study, several sensor configurations were tested to investigate the sensor configuration, which is easy for the surgeon to wear. In an evaluation experiment, doctors used a robotic surgery simulator for a long period of time, and the score calculated by the simulator was estimated as the fatigue level expressed by the surgeon. We discussed with doctors how the results of the fatigue estimation should be applied to the system design.