Guide to fuzzy logic based transesophageal echocardiography motorized probe control

There exists growing demand for the improvement of Transesophageal Echocardiography probe control. In order to provide remote control, a Fuzzy Logic based approach is presented. Preliminary results based on MATLAB2014a enclose the simulation of desired motor behavior of 2 Dynamixel MX-28 which actuate ultrasound probe movements. We conclude that the Fuzzy Logic toolbox is highly applicable for simulating Transesophageal Echocardiography motor control and provide a detailed documentation on this procedure.

[1]  Didier Dubois,et al.  Fuzzy sets and systems ' . Theory and applications , 2007 .

[2]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  Bart Kosko,et al.  Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .

[4]  Michio Sugeno,et al.  Fuzzy systems theory and its applications , 1991 .

[5]  David Levy,et al.  Book review: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence by Bart Kosko (Prentice Hall 1992) , 1992, CARN.

[6]  菅野 道夫,et al.  Applied fuzzy systems , 1994 .

[7]  Bart Kosko,et al.  Neural networks and fuzzy systems , 1998 .

[8]  Hung T. Nguyen,et al.  Fuzzy Systems: Modeling and Control , 1998 .

[9]  Ulrich Höhle,et al.  Mathematics of Fuzzy Sets: Logic, Topology, and Measure Theory , 1998 .

[10]  L. Yang Fuzzy Logic with Engineering Applications , 1999 .

[11]  W J Stewart,et al.  ASE/SCA guidelines for performing a comprehensive intraoperative multiplane transesophageal echocardiography examination: recommendations of the American Society of Echocardiography Council for Intraoperative Echocardiography and the Society of Cardiovascular Anesthesiologists Task Force for Certifi , 1999, Anesthesia and analgesia.

[12]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[13]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[14]  Eduardo Gómez-Ramírez Simple Tuning of Fuzzy Controllers , 2007, Hybrid Intelligent Systems.

[15]  Sang-Hong Lee,et al.  Forecasting KOSPI by weighted average defuzzification based on NEWFM , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[16]  Shuichi Wakimoto,et al.  Development of Pneumatic Actuated Seating System to aid chair design , 2010, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[17]  Witold Pedrycz Fuzzy Modelling: Paradigms and Practice , 2011 .

[18]  Eko Supriyanto,et al.  Cervix Detection Using Squared Error Subtraction , 2012, 2012 Sixth Asia Modelling Symposium.

[19]  Shigeo Abe,et al.  Neural Networks and Fuzzy Systems: Theory and Applications , 2012 .

[20]  Prabhat Tewari,et al.  Toe thumb: a musculoskeletal disorder related to transesophageal echocardiography. , 2014, Annals of cardiac anaesthesia.

[21]  Eko Supriyanto,et al.  Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics , 2015, J. Biomed. Informatics.

[22]  K. Schwab Mathematics Of Fuzzy Sets Logic Topology And Measure Theory , 2016 .

[23]  Sebastian Ehrlichmann Fuzzy Control Of Industrial Systems Theory And Applications , 2016 .

[24]  Sarita S Umadi,et al.  DC MOTOR SPEED CONTROL USING MICROCONTROLLER , 2016 .