A haptic training environment for the heart myoblast cell injection procedure Le, Vu Thanh and Nahavandi, Saeid 2010, A haptic training environment for the heart myoblast cell injection procedure, in ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, IEEE, Piscataway, N.J., pp. 448-452. Attached Files Name Description MIMEType Size Downloads le-ahaptic-2010.pdf Published version application/pdf 512.03KB 280 Title A haptic training environment for the heart myoblast cell injection procedure Author(s) Le, Vu Thanh orcid.org/0000-0003-0648-6112 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name IEEE International Conference on Control, Automation, Robotics & Vision (11th : 2010 : Singapore) Conference location Singapore Conference dates 7-10 Dec. 2010 Title of proceedings ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision Editor(s) [Unknown] Publication date 2010 Conference series International Conference on Control, Automation, Robotics and Vision Start page 448 End page 452 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) haptics robotics surgery cardiac arrest myoblast injectiion Summary The heart muscle of a cardiac arrest victim continues to accumulate damage throughout its lifetime. This reduces the heart's ability to pump sufficient oxygen and nutrient blood to meet the body's needs. Medical researchers have shown that direct injection of pre-harvested skeletal myoblast cells into the heart can restore some muscle function [1]. This operative procedure usually necessitates the surgeon to open a patient's chest. The open chest procedure is usually a lengthy process and often extends the recovery time of the patient. Alternatively, a high accuracy surgical aid robotic system can be used to assist the thoracoscopic surgery [2][3]. While the robotic surgical method aids faster patient recovery, a less experienced surgeon can potentially cause damage to surrounding tissue. This paper presents a study into the development of a virtual haptically-enabled heart myoblast injection simulation environment, which can be used to train new surgeons to get hands on experience with the process. The paper also discusses the development of a generic constraint motion technique for needle insertion. Experiments on human performance measures and efficacy, while interacting with haptic feedback training models, are also presented. The experiment involved 10 operators, with each person repeating the needle insertion and injection 10 times. A notable improvement in the task execution time with the number of repetitions was observed. Operators improved their time by up to 300% compared to their first training attempt for a static heart scenario. Under a dynamic heart motion, operator's performance was slightly lower, with the successful rate of completing the experiment reduced from 84% to 75%. Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ISBN 1424478154 9781424478156 Language eng Field of Research 090999 Geomatic Engineering not elsewhere classified Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed HERDC collection year 2010 Copyright notice ©2010, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30034525 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. 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Versions Version Filter Type Mon, 09 May 2011, 16:46:26 EST Mon, 09 May 2011, 16:50:55 EST Mon, 09 May 2011, 18:38:27 EST Tue, 10 May 2011, 09:39:19 EST Wed, 11 May 2011, 11:03:00 EST Wed, 11 May 2011, 11:05:36 EST Wed, 11 May 2011, 11:09:39 EST Wed, 11 May 2011, 11:10:18 EST Wed, 11 May 2011, 11:10:56 EST Wed, 11 May 2011, 11:11:51 EST Wed, 11 May 2011, 11:18:20 EST Fri, 16 Mar 2012, 18:54:00 EST Fri, 24 Jan 2014, 10:03:14 EST Mon, 30 Jun 2014, 14:04:14 EST Fri, 15 Aug 2014, 09:11:22 EST Fri, 10 Oct 2014, 08:47:51 EST Wed, 21 Oct 2015, 14:00:33 EST Wed, 21 Oct 2015, 17:19:39 EST Tue, 06 Sep 2016, 17:01:31 EST Tue, 05 Dec 2017, 10:49:43 EST Fri, 07 Sep 2018, 15:24:55 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 923 Abstract Views, 286 File Downloads  -  Detailed Statistics Created: Mon, 09 May 2011, 16:46:14 EST by Sandra Dunoon

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