ABSTRACT RESULTS METHODOLOGY CONCLUSION APPROACH BIBLIOGRAPHY CONTACT

Slides:



Advertisements
Similar presentations
A New Generation of Surgical Technique: Telesurgery Using Haptic Interfaces By Sarah L. Choy ~ A haptic interface is a force reflecting device which allows.
Advertisements

Special Topic In Cardiac MR Imaging Medical Imaging & Image Processing Lab MIIP Center for Informatics Science Nile University, Egypt Abdallah G. Motaal.
Robot Assisted Cardiac Surgery Course: Cardiovascular Imaging Submitted by: Alper Yaman Instructor: Assoc. Prof. Dr. Cengizhan Öztürk.
Analysis of a Deorbiting Maneuver of a large Target Satellite using a Chaser Satellite with a Robot Arm Philipp Gahbler 1, R. Lampariello 1 and J. Sommer.
IE 447 COMPUTER INTEGRATED MANUFACTURING CHAPTER 9 Material Handling System 1 IE CIM Lecture Notes - Chapter 9 MHS.
16 November 2004Biomedical Imaging BMEN Biomedical Imaging of the Future Alvin T. Yeh Department of Biomedical Engineering Texas A&M University.
Methodology Performance Estimate and Noise Modelling A baseline performance estimate was determined for a very low cost commercial MEMS-based IMU, the.
Optimal hardware and control system design for aero and auto applications Paul Stewart Electrical Machines and Drives Group Dept. Electronic and Electrical.
Importance of Computers in Health Care Medical Information Systems Medical Information Systems The mission of the MISU is to develop and evaluate automated.
Implantable Cardioverter Defibrillator Rebecca Boduch Biomedical Engineering University of Rhode Island.
Ultrasound-Guided Robot for Flexible Needle Steering David Kennedy.
Manipulator Dynamics Amirkabir University of Technology Computer Engineering & Information Technology Department.
Robotic Needle End Effector for Integration with CT Scan Team Members: David Sun Xuan Truong Chris Willingham Advisor: Dr. Bradford Wood.
Characterization of Arterial Biomechanical Properties with Ultrasound for Coronary Heart Disease (CHD) Diagnostics Group 8 Laura Tanenbaum, Sam Tavakoli,
Computer Science AND DOCTORS Jolena Co Truong- 6 th period.
Atrial Fibrillation June 2012 Presentation Outline  All about Atrial Fibrillation  What is it?  Who is affected?  How does it affect you?  Stroke.
1 Fiber Optic Sensorized Tools for Cardiology Applications July 7 th, 2008 Yong-Lae Park Seok Chang Ryu.
Definition of an Industrial Robot
Autonomous Robotics in Medicine Michael Saracen February 11, 2009.
Device Testing Nearly one in three children born in 2000 will develop diabetes or pre-diabetes in their lifetime. With this diagnosis brings an increased.
Da Vinci Surgical Robot: Global Deployment and Known Problems Andrew Priddis April 24, 2013.
The major advantages of USMs are: 1. Compact, lightweight, flexible and robust. 2. High positioning accuracy. 3. High low-speed torque and holding.
System & Control Control theory is an interdisciplinary branch of engineering and mathematics, that deals with the behavior of dynamical systems. The desired.
Needle Steering Force Model and Trajectory Planning
Richard Patrick Samples Ph.D. Student, ECE Department 1.
Wireless Cardiac Device Monitoring Presented by: Ashley D. Solomon, RN Nursing 457: Nursing Informatics Fall 2009.
Pediatric Interventions Cardiac Catheterization and Valvuloplasty.
Sick Sinus Syndrome. Description Your sinus node controls the rhythm of the heart. It sends electrical impulses across the atria to the ventricles, making.
T. Bajd, M. Mihelj, J. Lenarčič, A. Stanovnik, M. Munih, Robotics, Springer, 2010 ROBOT CONTROL T. Bajd and M. Mihelj.
Methods Validation with Simulated Data 1.Generate random linear objects in the model coordinate system. 2.Generate a random set of points on each linear.
Centre for Mechanical Technology and Automation Institute of Electronics Engineering and Telematics  TEMA  IEETA  Simulation.
Mobile Robot Navigation Using Fuzzy logic Controller
Cardiothoracic Surgery. Topics Valvotomy and valve replacement Open heart surgery and cardiac bypass surgery Correction of congenital heart diseases Heart.
SEVERAL MAJOR CAPABILITIES OF CRITICAL CARE INVIRONMENT 1.Process store and intergrate physiologic and diagnostic information from various sources. 2.Accept.
Technologies Advances in Health care. Podcast: Beating Heart Totally Endoscopic Coronary Artery Bypass Robotic Surgery  Podcast: Beating Heart Totally.
Real-Time Simultaneous Localization and Mapping with a Single Camera (Mono SLAM) Young Ki Baik Computer Vision Lab. Seoul National University.
Roles of Clinician and Engineer in Design and Evaluation of Autonomous Critical Care Devices What are the knowledge gaps? 1 University of Maryland 1 Lex.
Exercise Management Atrial Fibrillation Chapter 9.
User Performance in Relation to 3D Input Device Design  Studies conducted at University of Toronto  Usability review of 6 degree of freedom (DOF) input.
ACTUATING SOFT ROBOTIC EXOSKELETONS: THE POTENTIAL AND PRACTICALITY Thomas Hinds and Rachel Round What is Soft Robotics? Therapy and Rehabilitation Applications.
Research Topics Dr. Ming Liu Force control Non-linear control systems Decentralised control Dynamic vision Real-time image processing.
City College of New York 1 John (Jizhong) Xiao Department of Electrical Engineering City College of New York Mobile Robot Control G3300:
HRG4: Impact on Arrhythmia Care Donna Elliott-Rotgans Cardiology Service Manager UCLH / The Heart Hospital.
ROBOTIC SURGERY. INTRODUCTION Robotic surgery is an amalgamation of technology and surgical sciences. Robotic surgery is an amalgamation of technology.
Rigid Needles, Steerable Needles, and Optimal Beam Algorithms Ovidiu Daescu Bio-Medical Computing Laboratory Department of Computer Science University.
Team Members: Lacey Halfen, Jessica Hause, Erin Main, Peter Strohm & Fan Wu Client: Orhan UnalAdvisor: Willis Tompkins Team Members: Lacey Halfen, Jessica.
DEBBIE A. MCKNIGHT.  Perform and assist with Invasive and Noninvasive tests at the request of a physician to diagnose and provide therapy for heart disorders.
| rejuveindiameditour.com.
Personal Home Healthcare System for the Cardiac Patient of Smart City Using Fuzzy Logic Shijia Liu.
Understanding Complex Systems May 15, 2007 Javier Alcazar, Ph.D.
OBJECTIVES RESULTS APPROACH METHODOLOGY CONCLUSION BIBLIOGRAPHY
Panagiotis (Panos) Artemiadis, PhD Arizona State University
HUMANOID ROBOTS USED FOR SURVEILLANCE
Jonathan Bomar1, Scott Collins Ph.D1,2, and Rosemary Smith Ph.D1,3
Non-invasive cardiac pulse measurement
Atrial depolarization, initiated by the SA node, causes the P wave. Q
No relationships to disclose:
Technological Principles of Medical Instrumentation
Adviser:Ming-Yuan Shieh Student:shun-te chuang SN:M
Improved Speed Estimation in Sensorless PM Brushless AC Drives
Path Curvature Sensing Methods for a Car-like Robot
Zaid H. Rashid Supervisor Dr. Hassan M. Alwan
Improving Simulations in the Post Anesthesia Care Unit
From Mountains to the Sea How the Role of the CIO is Changing
Robotic Needle End Arm Effector for Integration With CT Scan
CSE4421/5324: Introduction to Robotics
Robotic Needle End Arm Effector for Integration With CT Scan
Multi Stage Engineering
Sensor Networks – Motes, Smart Spaces, and Beyond
7th East African Health & Scientific Conference
Presentation transcript:

ABSTRACT RESULTS METHODOLOGY CONCLUSION APPROACH BIBLIOGRAPHY CONTACT Building A Robotic Catheter Device for Cardiac Ablations Combining Ultrasound Guidance With Motion Compensation Sarah Ahmed Al-Tarouti Mohammad Rahaman ABSTRACT RESULTS Advances in cardiac catheter technologies have allowed physicians to treat different complicated valvular thrombotic and cardiac rhythms conditions using minimally invasive techniques. While catheters can perform many functions inside the heart, they still come short in providing complex tissue modifications. The impairment risks come from the inability to compensate the motion of the cardiac tissue. Therefore, the conventional methods are unable to effectively track the intracardiac fast tissue motion potentially applying some damaging exertion. The robotic catheter introduced in this research is a catheter system that uses 3D ultrasound as image guidance with a control system to enable constant motion compensation while targeting the specific moving surface during ablation. The mapping system produces position-modulated force in real time to friction and hence damage. The initial concept and methodology have been discussed in several interviews with cardiologist interested in electrophysiology in Aurora Health Care medical center and Medical College of Wisconsin. The next step is an expected collaboration to test the module and system design in an in vivo condition. This project is intended to revolutionize cardiac ablations and surgeries. . Heart diseases are the most leading causes for death in industualized nations. The study is yet in its very first stages, we have been discussing ideas to reach the best approach when targeting the cardiac tissue. This remains the largest struggle considering the sensitivity and mobility of the heart. Working with the Engineer David Krum to discuss the best possible ways to do so. No Results to show yet since we are in the trial and error phase. METHODOLOGY CONCLUSION APPROACH 3D in Real Time And Tissue Tracking: The real time view allows the physician to deal with the procedure in 3D image volume. The control system transform the algorithms to he computer connected to the robotic device in which it processes where the target tissue is located on the axis of rotation of that catheter. The the clinician have a smooth operation since it is manually controlled and adjust by their end. Force Control: Force sensor on the tip of the catheter should apply a sufficient force to compensate the motion of the heart approximated at 5 N and a linear actuator and potentiometer. Time-Delay Compensation: The 3D ultrasound volumes will help physicians to predict the catheter path and trajectory in real time to reduce and compensate time delays. This study applies the Intracardiac Echocardiography, the 3D, catheter techniques to enable the orientation and monitoring of tissue interactions. This robotic system is innovative and has the potential to greatly increase the clinicians capabilities while reducing procedure times. Future work will focus on building the device and in vivo validation to current mathematical and physical theories. The robotic motion will depend on mainly two main engineering approaches that will minimize invasiveness and increase efficacy. 1.The Mechanical Design: The prototype relies on image based catheter control. The catheter is a long flexible tube that can be easily inserted into the heart via blood vessels. The flexibility of the catheter is important for dexterity and bending for tissue modification. Adding a force sensor at the tip helps targeting the moving tissue with stability and control. 2. The System Design: The Control System is to control the velocity and force friction of the module with a volumetric mapping technique. This will be performed by using a multi degrees of freedom to allow the catheter to track complex 3-D trajectories. This system will have sufficient acceleration to compensate the beating heart. An experimental system is being developed as of right now BIBLIOGRAPHY 1.Mountantonakis, Stavros, and Edward P. Gerstenfeld. "Atrial Tachycardias Occurring After Atrial Fibrillation Ablation: Strategies for Mapping and Ablation." Journal of Atrial Fibrillation 2.2 (2010): n. pag. Web. 2. Kesner, Samuel B., and Robert D. Howe. "Position Control of Motion Compensation Cardiac Catheters." IEEE Transactions on Robotics 27.6 (2011): 1045-055. Web. 3. Kesner, Samuel Benjamin, and Robert D. Howe. "Design and Control of Motion Compensation Cardiac Catheters." Digital Access to Scholarship at Harvard. Institute of Electrical and Electronics Engineers, 01 Jan. 1970. Web. 25 Mar. 2017. CONTACT INFORMATION Sarah Altarouti : altarou2@uwm.edu David Krum: david.krum@aurora.org Mohammed Rahaman: rahmanmh@uwm.edu