Development of airway management training system WKA-4: Control system for simulation of real world condition of patient's motion

In recent years advanced robotic technology has seen increasing use in the medical field to assist in the development of efficient training systems. Such training systems must fulfill the following criteria: they must provide quantitative information, simulate the real-world conditions of the task, and assure training effectiveness. For these reasons, we have developed the Waseda Kyotokagaku Airway series to fulfill all those requirements using actuators and sensors as the main elements. Our WKA series could not completely simulate real-world conditions of the patients such as the motions of head, mandible, and tongue, which is important for the task of human airway management. In order to simulate the motions of those parts as in a real human being, we propose Waseda Kyotokagaku Airway No. 4, which meets all requirements of effective training systems. Particularly, for realistic simulation of the motions of those parts, the WKA-4 has improved mechanisms with high-fidelity simulated human anatomy, and Virtual Compliance Control is implemented to reproduce the stiffness of the human's muscles. In this paper, we present the hardware configuration and discuss the realistic simulation of the motions of those parts using a motion control system and control system for the WKA-4. Finally, we present a set of experiments carried out using doctors to verify our proposed mechanism and control system.

[1]  Blake Hannaford,et al.  Markov modeling of minimally invasive surgery based on tool/tissue interaction and force/torque signatures for evaluating surgical skills , 2001, IEEE Transactions on Biomedical Engineering.

[2]  H. Schwid,et al.  Evaluation of Anesthesia Residents Using Mannequin-based Simulation: A Multiinstitutional Study , 2002, Anesthesiology.

[3]  N. Delson,et al.  Measuring 3D Force and Motion Trajectories of a Laryngoscope in the Operating Room , 2003 .

[4]  J. Mayrose,et al.  Utilization of virtual reality for endotracheal intubation training. , 2003, Resuscitation.

[5]  Mitsuo Kawato,et al.  A computational model of four regions of the cerebellum based on feedback-error learning , 2004, Biological Cybernetics.

[6]  R. Hesselfeldt,et al.  Evaluation of the airway of the SimMan™ full‐scale patient simulator , 2005, Acta anaesthesiologica Scandinavica.

[7]  Development of a Sympathetic Response to Laryngoscopy and Endotracheal Tube Placement in a Patient Simulator , 2006, Simulation in healthcare : journal of the Society for Simulation in Healthcare.

[8]  A. Takanishi,et al.  Development of Oral Rehabilitation Robot for Massage Therapy , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[9]  A. Takanishi,et al.  Development of the evaluation system for the Airway Management Training System WKA-1R , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[10]  Hiroyuki Ishii,et al.  Development of the airway management training system WKA-2 designed to reproduce different cases of difficult airway , 2009, 2009 IEEE International Conference on Robotics and Automation.

[11]  Y. Kim,et al.  Comparison of four manikins and fresh frozen cadaver models for direct laryngoscopic orotracheal intubation training , 2009, Emergency Medicine Journal.

[12]  Yohan Noh,et al.  Development of Tension/Compression Detection Sensor System designed to acquire quantitative force information while training the airway management task , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[13]  Hiroyuki Ishii,et al.  Development of Patient Scenario Generation which can reproduce characteristics of the patient for simulating real-world conditions of task for airway management training system WKA-3 , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[14]  K. Tremper,et al.  3,423 Emergency Tracheal Intubations at a University Hospital: Airway Outcomes and Complications , 2011, Anesthesiology.

[15]  A. Takanishi,et al.  Development of the Airway Management Training System WKA-4 : for Improving Reproduction of High Fidelity of Real Patient and Improving Tongue Mechanism and Mandible Mechanism , 2011, ICRA 2011.

[16]  Chunbao Wang,et al.  Development of the airway management training system WKA-4: For improved high-fidelity reproduction of real patient conditions, and improved tongue and mandible mechanisms , 2011, 2011 IEEE International Conference on Robotics and Automation.