Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues
Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues
复制标题
通过触觉提示使用实时风格行为反馈的自适应手术机器人训练
DOI:
10.1109/tmrb.2021.3124128
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Fey, Ann Majewicz
中科院分区:
文献类型:
--
作者:
Ershad, Marzieh;Rege, Robert;Fey, Ann Majewicz
Surgical skill directly affects surgical procedure outcomes; thus, effective training is needed to ensure satisfactory results. Many objective assessment metrics have been developed that provide the trainee with descriptive feedback about their performance however, these metrics often lack feedback on how to improve performance. The most effective training method is one that is intuitive, easy to understand, personalized, and provided in a timely manner. We propose a framework to enable user-adaptive training using near real-time detection of performance, based on intuitive styles of surgical movements, and design a haptic feedback framework to assist with correcting styles of movement. We evaluate the ability of three types of force feedback (spring, damping, and spring plus damping feedback), computed based on prior user positions to improve different stylistic behaviors of the user during kinematically constrained reaching movement tasks. The results indicate that five out of six styles studied here were improved using at least one of the three types of force feedback. Task performance metrics were compared in the presence of the three types of feedback. Task time was statistically significantly lower when applying spring feedback, compared to the other two types of feedback. Path straightness and targeting error were statistically significantly improved when using spring-damping feedback compared to the other two types of feedback. This study presents a groundwork for adaptive training in robotic surgery based on near real-time human-centric models of surgical behavior.
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DOI:
10.1109/embc.2018.8512728
发表时间:
2018
期刊:
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
影响因子:
--
作者:
A. Mariani;Edoardo Pellegrini;Nima Enayati;P. Kazanzides;Marco Vidotto;E. Momi
通讯作者:
E. Momi
DOI:
10.1007/s11548-018-1738-2
发表时间:
2018-07-01
影响因子:
3
作者:
Ershad, M.;Rege, R.;Fey, A. Majewicz
通讯作者:
Fey, A. Majewicz
DOI:
--
发表时间:
2018
期刊:
Medical Imaging
影响因子:
--
作者:
Marzieh Ershad;R. Rege;A. Majewicz
通讯作者:
A. Majewicz
DOI:
--
发表时间:
2015
期刊:
Bulletin of the American College of Surgeons
影响因子:
--
作者:
Rebecca L. Hoffman;Jacob A. Petrosky;M. Eskander;Luke V. Selby;A. Kulaylat
通讯作者:
A. Kulaylat
DOI:
10.1109/haptics.2008.4479929
发表时间:
2008
期刊:
2008 Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
影响因子:
--
作者:
Xing;W. Bischof;P. Boulanger
通讯作者:
P. Boulanger