TY - GEN
T1 - Using two-Third power law for segmentation of hand movement in robotic assisted surgery
AU - Shafiei, Somayeh B.
AU - Guru, Khurshid A.
AU - Esfahani, Ehsan T.
N1 - Publisher Copyright:
Copyright © 2015 by ASME.
PY - 2015
Y1 - 2015
N2 - In this study, we have developed a robust and accurate algorithm based on concept of two-Third power law in human motor control to segment the hand trajectory of robotic surgeons into smaller segments. We hypothesis that tracking a longer trajectory is subjected to higher cognitive workload that may lead in to an imperfect CNS performance in programming muscle activation which will lead to more number of segment trajectories and pause points in hand movements. To test our hypothesis, after segmenting the trajectory, we determine the correlation between affine velocity and workload extracted from Surgeon's Electroencephalography (EEG) features. EEG features are extracted by using brain waves recorded by wireless brain computer interface (B-Alert X-10 system). In our experimental study, 2 groups of participants three "experts" and five "Competent and Proficient" performed Urethro-vesical Anastomosis on an inanimate model, using the da-Vinci Surgical System® (Sunnyvale, CA).
AB - In this study, we have developed a robust and accurate algorithm based on concept of two-Third power law in human motor control to segment the hand trajectory of robotic surgeons into smaller segments. We hypothesis that tracking a longer trajectory is subjected to higher cognitive workload that may lead in to an imperfect CNS performance in programming muscle activation which will lead to more number of segment trajectories and pause points in hand movements. To test our hypothesis, after segmenting the trajectory, we determine the correlation between affine velocity and workload extracted from Surgeon's Electroencephalography (EEG) features. EEG features are extracted by using brain waves recorded by wireless brain computer interface (B-Alert X-10 system). In our experimental study, 2 groups of participants three "experts" and five "Competent and Proficient" performed Urethro-vesical Anastomosis on an inanimate model, using the da-Vinci Surgical System® (Sunnyvale, CA).
UR - https://www.scopus.com/pages/publications/84979076139
U2 - 10.1115/DETC2015-47813
DO - 10.1115/DETC2015-47813
M3 - Conference contribution
AN - SCOPUS:84979076139
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 39th Mechanisms and Robotics Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015
Y2 - 2 August 2015 through 5 August 2015
ER -