Rate of Orientation Change as a New Metric for Robot-Assisted and Open Surgical Skill Evaluation
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Ilana Nisky | Thomas S. Lendvay | Yarden Sharon | Anthony M. Jarc | A. Jarc | T. Lendvay | I. Nisky | Y. Sharon
[1] Peter Kazanzides,et al. An open-source research kit for the da Vinci® Surgical System , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[2] Leonid Zhukov,et al. Measurements of the level of surgical expertise using flight path analysis from da Vinci robotic surgical system. , 2003, Studies in health technology and informatics.
[3] A. V. Van rij,et al. Cusum as an aid to early assessment of the surgical trainee , 1995, The British journal of surgery.
[4] Jeremy D. Brown,et al. An Evaluation of Inanimate and Virtual Reality Training for Psychomotor Skill Development in Robot-Assisted Minimally Invasive Surgery , 2020, IEEE Transactions on Medical Robotics and Bionics.
[5] A. G. Gallagher,et al. Construct validation of the ProMIS simulator using a novel laparoscopic suturing task , 2005, Surgical Endoscopy And Other Interventional Techniques.
[6] A. Darzi,et al. Objective assessment of technical skills in surgery , 2003, BMJ : British Medical Journal.
[7] Allison M. Okamura,et al. Robot-Assisted Surgical Training Over Several Days in a Virtual Surgical Environment with Divergent and Convergent Force Fields , 2019, The Hamlyn Symposium on Medical Robotics.
[8] K. A. Ericsson,et al. Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. , 2004, Academic medicine : journal of the Association of American Medical Colleges.
[9] Lee W. White,et al. Content and construct validation of a robotic surgery curriculum using an electromagnetic instrument tracker. , 2012, The Journal of urology.
[10] Henry C. Lin,et al. JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling , 2014 .
[11] M S Wilson,et al. MIST VR: a virtual reality trainer for laparoscopic surgery assesses performance. , 1997, Annals of the Royal College of Surgeons of England.
[12] Allison M. Okamura,et al. Training in divergent and convergent force fields during 6-DOF teleoperation with a robot-assisted surgical system , 2017, 2017 IEEE World Haptics Conference (WHC).
[13] Timothy M. Kowalewski,et al. Predicting surgical skill from the first N seconds of a task: value over task time using the isogony principle , 2017, International Journal of Computer Assisted Radiology and Surgery.
[14] Paolo Fiorini,et al. Surgical gesture recognition with time delay neural network based on kinematic data , 2019, 2019 International Symposium on Medical Robotics (ISMR).
[15] Teodor P. Grantcharov,et al. Psychomotor performance measured in a virtual environment correlates with technical skills in the operating room , 2009, Surgical Endoscopy.
[16] T. Grantcharov,et al. Objective assessment of laparoscopic skills using a virtual reality stimulator , 2005, Surgical Endoscopy.
[17] Ferdinando A. Mussa-Ivaldi,et al. Perception and Action in Teleoperated Needle Insertion , 2011, IEEE Transactions on Haptics.
[18] Nancy J Hogle,et al. Documenting a learning curve and test-retest reliability of two tasks on a virtual reality training simulator in laparoscopic surgery. , 2007, Journal of surgical education.
[19] Allison M. Okamura,et al. Uncontrolled Manifold Analysis of Arm Joint Angle Variability During Robotic Teleoperation and Freehand Movement of Surgeons and Novices , 2014, IEEE Transactions on Biomedical Engineering.
[20] Marlies P Schijven,et al. Contemporary virtual reality laparoscopy simulators: quicksand or solid grounds for assessing surgical trainees? , 2010, American journal of surgery.
[21] Henry C. Lin,et al. Review of methods for objective surgical skill evaluation , 2011, Surgical Endoscopy.
[22] Peter I. Corke,et al. Robotics, Vision and Control - Fundamental Algorithms in MATLAB® , 2011, Springer Tracts in Advanced Robotics.
[23] Ana Luisa Trejos,et al. A Sensorized Instrument for Skills Assessment and Training in Minimally Invasive Surgery , 2009 .
[24] A. Darzi,et al. Measurement of Surgical Dexterity Using Motion Analysis of Simple Bench Tasks , 2003, World Journal of Surgery.
[25] R. Reznick,et al. Objective structured assessment of technical skill (OSATS) for surgical residents , 1997, The British journal of surgery.
[26] Daniel Arthur James,et al. Towards a wearable device for skill assessment and skill acquisition of a tennis player during the first serve , 2009 .
[27] Ilana Nisky,et al. Expertise, Teleoperation, and Task Constraints Affect the Speed-Curvature-Torsion Power Law in RAMIS , 2018, J. Medical Robotics Res..
[28] Vipul Patel,et al. Fundamentals of robotic surgery: a course of basic robotic surgery skills based upon a 14‐society consensus template of outcomes measures and curriculum development , 2014, The international journal of medical robotics + computer assisted surgery : MRCAS.
[29] Etienne Burdet,et al. Assessing suturing techniques using a virtual reality surgical simulator , 2010, Microsurgery.
[30] J. Birkmeyer,et al. Surgical skill and complication rates after bariatric surgery. , 2013, The New England journal of medicine.
[31] Ilana Nisky,et al. The effect of force feedback delay on stiffness perception and grip force modulation during tool-mediated interaction with elastic force fields. , 2015, Journal of neurophysiology.
[32] Marcia Kilchenman O'Malley,et al. Smoothness of surgical tool tip motion correlates to skill in endovascular tasks , 2016, IEEE Transactions on Human-Machine Systems.
[33] P. Good,et al. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses , 1995 .
[34] Katherine J. Kuchenbecker,et al. Automatically rating trainee skill at a pediatric laparoscopic suturing task , 2017, Surgical Endoscopy.
[35] Alonzo Kelly,et al. Mobile Robotics: Mathematics, Models, and Methods , 2013 .
[36] A. Darzi,et al. Qualitative and quantitative analysis of the learning curve of a simulated surgical task on the da Vinci system , 2004, Surgical Endoscopy And Other Interventional Techniques.
[37] A. Darzi,et al. Training junior operative residents in laparoscopic suturing skills is feasible and efficacious. , 2006, Surgery.
[38] Allison M. Okamura,et al. Teleoperated versus open needle driving: Kinematic analysis of experienced surgeons and novice users , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[39] Jenny Dankelman,et al. Retracting and seeking movements during laparoscopic goal-oriented movements. Is the shortest path length optimal? , 2007, Surgical Endoscopy.
[40] Raz Leib,et al. Minimum acceleration with constraints of center of mass: a unified model for arm movements and object manipulation. , 2012, Journal of neurophysiology.
[41] G. Fried,et al. What are the Training Gaps for Acquiring Laparoscopic Suturing Skills? , 2017, Journal of surgical education.
[42] Mukul Mukherjee,et al. Accuracy and speed trade‐off in robot‐assisted surgery , 2010, The international journal of medical robotics + computer assisted surgery : MRCAS.
[43] Melina C Vassiliou,et al. A global assessment tool for evaluation of intraoperative laparoscopic skills. , 2005, American journal of surgery.
[44] S. Maeso,et al. Efficacy of the Da Vinci Surgical System in Abdominal Surgery Compared With That of Laparoscopy: A Systematic Review and Meta-Analysis , 2010, Annals of surgery.
[45] Guang-Zhong Yang,et al. Eye-Gaze Driven Surgical Workflow Segmentation , 2007, MICCAI.
[46] Dmitry Oleynikov,et al. Effect of visual feedback on surgical performance using the da Vinci surgical system. , 2006, Journal of laparoendoscopic & advanced surgical techniques. Part A.
[47] A. Goh,et al. Global evaluative assessment of robotic skills: validation of a clinical assessment tool to measure robotic surgical skills. , 2012, The Journal of urology.
[48] P. Fitts. The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.
[49] Ziheng Wang,et al. Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery , 2018, International Journal of Computer Assisted Radiology and Surgery.
[50] P. Viviani,et al. The law relating the kinematic and figural aspects of drawing movements. , 1983, Acta psychologica.
[51] Gregory D. Hager,et al. A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery , 2017, IEEE Transactions on Biomedical Engineering.
[52] Masaru Ishii,et al. Objective Assessment of Surgical Technical Skill and Competency in the Operating Room. , 2017, Annual review of biomedical engineering.
[53] Jiping He,et al. Control of hand orientation and arm movement during reach and grasp , 2006, Experimental Brain Research.
[54] R. Reznick,et al. Teaching and testing technical skills. , 1993, American journal of surgery.
[55] T. Hernandez-Boussard,et al. A comparison of laparoscopic and robotic assisted suturing performance by experts and novices. , 2010, Surgery.
[56] Amod Jog,et al. Assessing system operation skills in robotic surgery trainees , 2012, The international journal of medical robotics + computer assisted surgery : MRCAS.
[57] Erlend Fagertun Hofstad,et al. A study of psychomotor skills in minimally invasive surgery: what differentiates expert and nonexpert performance , 2013, Surgical Endoscopy.
[58] A. Moinzadeh,et al. Face, content, and construct validity of dV-trainer, a novel virtual reality simulator for robotic surgery. , 2009, Urology.
[59] Alain Berthoz,et al. Complex unconstrained three-dimensional hand movement and constant equi-affine speed. , 2009, Journal of neurophysiology.
[60] A. Darzi,et al. The use of electromagnetic motion tracking analysis to objectively measure open surgical skill in the laboratory-based model. , 2001, Journal of the American College of Surgeons.
[61] T. Flash,et al. The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[62] Anthony Jarc,et al. Development and Validation of Objective Performance Metrics for Robot‐Assisted Radical Prostatectomy: A Pilot Study , 2018, The Journal of urology.
[63] Ilana Nisky,et al. Using Augmentation to Improve the Robustness to Rotation of Deep Learning Segmentation in Robotic-Assisted Surgical Data , 2019, 2019 International Conference on Robotics and Automation (ICRA).