國立虎尾科技大學 |

Investigation of Brain Computer Interface as a New Modality in Human-Surgical Robot Interaction.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Investigation of Brain Computer Interface as a New Modality in Human-Surgical Robot Interaction./
Author:	Besharat Shafiei, Somayeh.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	161 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
Contained By:	Dissertation Abstracts International79-08B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10742854
ISBN:	9780355679373

Investigation of Brain Computer Interface as a New Modality in Human-Surgical Robot Interaction.
Besharat Shafiei, Somayeh.

Investigation of Brain Computer Interface as a New Modality in Human-Surgical Robot Interaction. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 161 p.

Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.

Thesis (Ph.D.)--State University of New York at Buffalo, 2018.

Despite advances in robotics, currently surgical robots are simple tools, controlled by surgeons. Also, surgeon-surgical robot interaction is a passive framework, while surgeons are responsible for performing different tasks of surgery in operating rooms. Adding intelligence to surgical robots demands understanding the process of motor command creation in a surgeon's brain and how this command changes while being transmitted to limbs and then to robot tools. Also, making operating rooms more dynamic and flexible demands monitoring the brain states as well as surgical skills of surgeons in real time. The introduction of such a surgical robot capable of actively collaborating with humans requires representing the process of motor-cognition surgical skills in the brain.

ISBN: 9780355679373Subjects--Topical Terms:

557493
Mechanical engineering.

Investigation of Brain Computer Interface as a New Modality in Human-Surgical Robot Interaction.
LDR:03740nam a2200409 4500 001 890770
005 20180727091503.5
008 180907s2018 ||||||||||||||||| ||eng d
020 $a 9780355679373
035 $a (MiAaPQ)AAI10742854
035 $a (MiAaPQ)buffalo:15536
035 $a AAI10742854
040 $a MiAaPQ $c MiAaPQ
100 1 $a Besharat Shafiei, Somayeh. $3 1148674
245 1 0 $a Investigation of Brain Computer Interface as a New Modality in Human-Surgical Robot Interaction.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 161 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
500 $a Adviser: Gary Dargush.
502 $a Thesis (Ph.D.)--State University of New York at Buffalo, 2018.
520 $a Despite advances in robotics, currently surgical robots are simple tools, controlled by surgeons. Also, surgeon-surgical robot interaction is a passive framework, while surgeons are responsible for performing different tasks of surgery in operating rooms. Adding intelligence to surgical robots demands understanding the process of motor command creation in a surgeon's brain and how this command changes while being transmitted to limbs and then to robot tools. Also, making operating rooms more dynamic and flexible demands monitoring the brain states as well as surgical skills of surgeons in real time. The introduction of such a surgical robot capable of actively collaborating with humans requires representing the process of motor-cognition surgical skills in the brain.
520 $a Since surgeons remotely control the robot in the closed-loop of human-robot interaction, the end-effector trajectory is corrected by perceiving the trajectory and transferences between hand and eye by practice during the learning process.
520 $a Human-robot interaction is a complicated skill that demands development of the cognition, perception, and motor skills during the learning process.
520 $a In this dissertation, by analyzing the brain dynamics as well as cognition development, using machine learning and graph theory, methods and algorithms are proposed for objective and dynamic performance monitoring and skill evaluation. Surgical skills are quantitatively evaluated using the proposed measurement parameters derived from observing brain reconfiguration during skill acquisition.
520 $a In addition, using brain functional state features, an objective trust evaluation algorithm is developed. The method is validated using clinical data, categorizing the impact of trust of mentors on fellows' performance. The developed method may be used to monitor the level of trust surgeons have in robot autonomous movements in the next generation of surgical robots (equipped with automation).
520 $a It is also hypothesized that dynamic reconfiguration of the brain results in more smooth and automatic hand movement while interacting with the robot. To investigate this hypothesis, extrinsic factors of robot tool trajectory, and intrinsic factors of brain activity are synchronized and analyzed together.
520 $a The results and findings throughout this research may also be applicable to therapy for the rehabilitation of stroke patients. Since hand movements in Robot-assisted Surgery are a combination of continuous complicated segments, results may also be used to investigate some unanswered questions in neuroscience, related to motor control.
590 $a School code: 0656.
650 4 $a Mechanical engineering. $3 557493
650 4 $a Robotics. $3 561941
650 4 $a Cognitive psychology. $3 556029
650 4 $a Artificial intelligence. $3 559380
650 4 $a Surgery. $3 644132
690 $a 0548
690 $a 0771
690 $a 0633
690 $a 0800
690 $a 0576
710 2 $a State University of New York at Buffalo. $b Mechanical and Aerospace Engineering. $3 845600
773 0 $t Dissertation Abstracts International $g 79-08B(E).
790 $a 0656
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10742854