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Advances in Medical Devices 1

Thursday, April 12, 8:00-10:00
Meridian Ballroom 1, Graduate Minneapolis

Organizers: Carl Nelson, Contributed Papers Co-Chair, University of Nebraska-Lincoln
Matthew Johnson, Contributed Papers Co-Chair, University of Minnesota

"Robotic Platform for the Delivery of Gene Products into Single Cells in Organotypic Slices of the Developing Mouse Brain" (DMD2018-6899)
Gabriella Shull, PhD Student, Department of Biomedical Engineering, University of Minnesota

"Automation of Suturing Path Generation for da Vinci-Like Surgical Robotic Systems" (DMD2018-6871)
Hossein Dehghani, Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln

"Design of an Automated Measurement System for Episcleral Venous Pressure" (DMD2018-6189)
Carl Nelson, Mechanical and Materials Engineering, University of Nebraska-Lincoln

"Force Myography Signal Based Hand Gesture Classification for the Implementation of Real-Time Prosthetic Hand Control System" (DMD2018-6937)
(Gaminda) Pankaja Withanachchi, Computer Engineering, Wichita State Univeristy

"Weight Distribution Monitoring System for Patients with Parkinson's Disease" (DMD2018-6807)
Pham Huy Nguyen, The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University

"Obstetrical Forceps with Passive Rotation and Sensor Feedback" (DMD2018-6859)
Judith Beaudoin, Mechanical Engineering, Massachusetts Institute of Technology

"Port Placement Optimization for Robotically-assisted Minimally Invasive Surgery" (DMD2018-6840)
Bob Stricko, Clinical Development Engineer, Intuitive Surgical


Session Abstract:

Presentations were chosen from 2018 DMD Conference Call for Papers accepted paper submissions. All accepted papers will be published in the Proceedings of the Design of Medical Devices Conference in the ASME Digital Collection, and will also be published as a printed book by ASME Press. Conference registration and presentation of the paper in a conference poster session is required for publication of the paper.


Speaker Bios:

Gabriella Shull, PhD Student, Department of Biomedical Engineering, University of Minnesota
Gabi received her B.S. in biomedical engineering from SUNY Binghamton in 2016. Her undergraduate work focused on tissue engineering, and the development of a surgical device for cryoablation. She joined the biosensing and biorobotics group at UMN in the fall of 2016 and is currently developing automated tools for neuroscience, and electrodes for brain computer interfaces.

Hossein Dehghani, Mechanical and Aerospace Engineering, University of Central Florida
Hossein Dehghani is a Postdoctoral Research Associate in the Department of Mechanical and Materials Engineering at the University of Central Florida. He received his M.Sc. degree in Mechanical Engineering from Sharif University of Technology, Tehran, Iran in 2012 and his Ph.D. degree in Biomedical Engineering from the University of Nebraska-Lincoln, Lincoln, NE in 2017. Currently, he is a Postdoctoral Research Associate at the Interventional Robotics Lab, University of Central Florida, Orlando, FL. His research is in medical devices and surgical robotics.

Carl Nelson, Mechanical and Materials Engineering, University of Nebraska-Lincoln
Carl Nelson is a professor in the Department of Mechanical and Materials Engineering at the University of Nebraska-Lincoln.

(Gaminda) Pankaja Withanachchi, Computer Engineering, Wichita State Univeristy
Pankaja Withanachchi is a Senior in Computer Engineering at Wichita State University. His interests include embedded systems and the Internet of Things.

Judith Beaudoin, Mechanical Engineering, Massachusetts Institute of Technology
Judith Beaudoin is a graduate student at MIT in mechanical engineering. She received her B.S. in mechanical engineering at University of Maryland, College Park. Her main interests are mechanical design, medical imaging, and clinician and patient centered design.

Bob Stricko, Clinical Development Engineer, Intuitive Surgical
Bob Stricko graduated with a BS in Biomedical Engineering from The Ohio State University in May 2017. Since graduating, he has been working as a Clinical Development Engineer at Intuitive Surgical, Inc. in Sunnyvale, CA.


Presentation Abstracts:

"Robotic Platform for the Delivery of Gene Products into Single Cells in Organotypic Slices of the Developing Mouse Brain" (DMD2018-6899)
We developed a computer vision guided platform to inject cells with mRNA, and dye and investigated the efficiency of injection using slices of the mouse neocortex. We demonstrate that the system significantly increases yield of injection relative to manual use, allows for cell tracking over 0, 24, and 48 hours post injection in culture, and enables mRNA translation. The autoinjector platform can open the door to new types of experiments investigating effects of genes on cell fate with high yield.

"Automation of Suturing Path Generation for da Vinci-Like Surgical Robotic Systems" (DMD2018-6871)
Minimally invasive surgery (MIS) has substantially improved surgery by reducing patient pain, discomfort, and tissue trauma. The emergence of surgical robots in the operating theater has the potential for surgical automation. Suturing is a compound task consisting of subtasks such as positioning the needle, biting the tissue, and driving the needle through the tissue. The ultimate goal of this study is to automate all the suturing subtasks such that the robot performs suturing under the surgeon’s supervision. In this study, we used the Raven-II surgical robotic system which is similar to Intuitive Surgical’s da Vinci.

"Design of an Automated Measurement System for Episcleral Venous Pressure" (DMD2018-6189)
Episcleral venous pressure (EVP) refers to the pressure in the episcleral veins of the eye, and is an excellent non-invasive quantitative marker for intracranial pressure (ICP) estimation and therefore relevant to traumatic brain injury. Currently, equipment for EVP measurement is limited to clinical settings, and issues of inter-operator variance exist. We present the design of an device which allows EVP measurement to be automatically recorded, reducing the potential for uncertainty in the measurements and opening up new diagnostic possibilities.

"Force Myography Signal Based Hand Gesture Classification for the Implementation of Real-Time Prosthetic Hand Control System" (DMD2018-6937)
This study explores the prediction of the various hand gestures based on Force Myography (FMG) signals generated through sensors banded around the forearm for the implementation of a control system in a prosthetic hand. Through the use of FMG we hope to eliminate the disadvantages posed by other systems such as cost and lack of stability.

"Obstetrical Forceps with Passive Rotation and Sensor Feedback" (DMD2018-6859)
Novel obstetrical forceps were developed to address the lack of easy to use, safe, and reliable tools for operative vaginal deliveries. The forceps have a rotational handle connected to the blades with two ball locks, allowing for easy delivery of presentations besides direct Occiput Anterior or Occiput Posterior. A sensing module was also developed to provide feedback about force applied, direction of forceps, and the progression of the fetus, improving the learning experience and increasing physician comfort.

"Port Placement Optimization for Robotically-assisted Minimally Invasive Surgery" (DMD2018-6840)
Port placement is a critical step in robotic surgery setup. Poor port placement can result in difficulties throughout a procedure including range of motion issues, spar interferences, and poor “anthropomorphicness”. Current port placement suggestions are based on empirical findings, and although they are practical, they are often suboptimal. The goal of this project was to develop a method for determining optimal port placement through a more analytical approach.


Related Papers Sessions:

Advances in Cardiovascular Medical Devices
Advances in Medical Devices 2

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