Fatigue analysis of laparoscopic training real time based on EEG signals
ZUO Yan
WANG Shuyi
LIU Yun
XU Mingzhe
WANG Peng
DU Yunxiao
Abstract：To evaluate fatigue real time and the laparoscopic training effect,and to find the relationship between them.Data acqui-sition module and fatigue analysis module were designed based on MATLAB.During the training,EEG data were collected by Brainlink and sent to data acquisition module wirelessly by bluetooth,the raw data′s artifacts were eliminated by the way of blind source separa-tion(BSS).And then,4 kinds of EEG rhythm were detected using the method of wavelet packet analysis.Fatigue values were calcu-lated using Semi supervised regression model of Mahalanobis distance.This module's threshold value was evaluated using receiver op-erating characteristic(ROC)curve.When fatigue values exceed the threshold, it indicated that fatigue occured and warning tips for termination of training appeared.Eye movement signals were collected by Tobii X 1 Light Eye Tracker,the effect of laparoscopic training was evaluated using the parameters of completion time,fixation time,error accounts,fixation accounts,the percentage of fixation time and the percentage of fixation/saccade.In 1~6 times training,fatigue values rised without fatigue occurrence,and the training effects became better;in 7~15 times, fatigue values changed relatively flat, and training effect tended to a stable plateau; in the 16~20 times,fatigue values rised significantly with fatigue occurring and the training effects declined.The fatigue level has effects on training effect.When the fatigue value reaches the fatigue threshold of 10,namely fatigue occurrence,the train should be terminated.
Keywords：Laparoscopic surgery trainingEye trackerEEGFatigue analysisEvaluation of training effect
Publication Date：2018-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：6( 46-51 )