Teleoperated versus open needle driving: Kinematic analysis of experienced surgeons and novice users
暂无分享,去创建一个
Allison M. Okamura | Ilana Nisky | Michael H. Hsieh | Zhan Fan Quek | Matthew Weber | Yuhang Che | A. Okamura | Yuhang Che | I. Nisky | M. Hsieh | Matthew Weber
[1] T. Judkins,et al. Objective evaluation of expert and novice performance during robotic surgical training tasks , 2009, Surgical Endoscopy.
[2] Paolo Dario,et al. Biomechanics–Machine Learning System for Surgical Gesture Analysis and Development of Technologies for Minimal Access Surgery , 2014, Surgical innovation.
[3] 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.
[4] R. Reznick,et al. Teaching surgical skills--changes in the wind. , 2006, The New England journal of medicine.
[5] T. Flash,et al. Minimum-jerk, two-thirds power law, and isochrony: converging approaches to movement planning. , 1995, Journal of experimental psychology. Human perception and performance.
[6] Konrad Paul Kording,et al. Relevance of error: what drives motor adaptation? , 2009, Journal of neurophysiology.
[7] R. Shadmehr,et al. Biological Learning and Control: How the Brain Builds Representations, Predicts Events, and Makes Decisions , 2012 .
[8] Blake Hannaford,et al. Generalized approach for modeling minimally invasive surgery as a stochastic process using a discrete Markov model , 2006, IEEE Transactions on Biomedical Engineering.
[9] Allison M. Okamura,et al. Force modeling for needle insertion into soft tissue , 2004, IEEE Transactions on Biomedical Engineering.
[10] Yohsuke R. Miyamoto,et al. Temporal structure of motor variability is dynamically regulated and predicts motor learning ability , 2014, Nature Neuroscience.
[11] Mani Menon,et al. Learning curve using robotic surgery , 2006, Current urology reports.
[12] J. Patton,et al. Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors , 2005, Experimental Brain Research.
[13] 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.
[14] D. Oleynikov,et al. Robotic surgery training and performance , 2006, Surgical Endoscopy And Other Interventional Techniques.
[15] Allison M. Okamura,et al. Effect of load force feedback on grip force control during teleoperation: A preliminary study , 2014, 2014 IEEE Haptics Symposium (HAPTICS).
[16] 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.
[17] A. Okamura,et al. Effects of robotic manipulators on movements of novices and surgeons , 2014, Surgical Endoscopy.
[18] Marcia Kilchenman O'Malley,et al. On the development of objective metrics for surgical skills evaluation based on tool motion , 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[19] R. M. Pierce,et al. A data-driven method for determining natural human-robot motion mappings in teleoperation , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).
[20] Paolo Dario,et al. Modelling and Evaluation of Surgical Performance Using Hidden Markov Models , 2006, IEEE Transactions on Biomedical Engineering.
[21] 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).
[22] N. Stergiou,et al. Robotic surgery training and performance , 2005, Surgical Endoscopy And Other Interventional Techniques.
[23] Henry C. Lin,et al. Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions , 2006, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.