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Towards an anthropomorphic design of minimally invasive instrumentation for soft tissue robotic surgery

Pipe, Tony; Tzemanaki, Antonia; Dogramadzi, Sanja; Pipe, Anthony G.; Melhuish, Chris

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Authors

Tony Pipe

Antonia Tzemanaki

Chris Melhuish Chris.Melhuish@uwe.ac.uk
Professor of Robotics & Autonomous Systems



Abstract

Minimally invasive procedures, such as laparoscopy, have significantly decreased blood loss, postoperative morbidity and length of hospital stay. Robot-assisted Minimally Invasive Surgery (MIS) has offered refined accuracy and more ergonomic instruments for surgeons, further minimizing trauma to the patient [1]. On the other hand, training surgeons in minimally invasive surgical procedures is becoming increasingly long and arduous [2]. In this paper, we outline the rationale of a novel design of instruments for robotic surgery with increased dexterity that will provide more natural manipulation of soft tissues. The proposed system will not only reduce the training time for surgeons but also improve the ergonomics of the procedure. © 2012 Springer-Verlag.

Citation

Pipe, T., Tzemanaki, A., Dogramadzi, S., Pipe, A. G., & Melhuish, C. (2012). Towards an anthropomorphic design of minimally invasive instrumentation for soft tissue robotic surgery. Lecture Notes in Artificial Intelligence, 7429 LNAI, 455-456. https://doi.org/10.1007/978-3-642-32527-4_56

Journal Article Type Conference Paper
Publication Date Aug 20, 2012
Deposit Date Sep 18, 2013
Publicly Available Date Apr 12, 2016
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN 0302-9743
Electronic ISSN 1611-3349
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 7429 LNAI
Pages 455-456
Book Title Advances in Autonomous Robotics
DOI https://doi.org/10.1007/978-3-642-32527-4_56
Keywords minimally invasive surgery, robotic surgery, surgical instrumentation, anthropomorphic design, abdominal surgery
Public URL https://uwe-repository.worktribe.com/output/945256
Publisher URL http://dx.doi.org/10.1007/978-3-642-32527-4_56

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