Engineering Commons^™

Evaluation Of Parallel Decomposition Methods For Biomechanical Optimizations, J. F. Schutte, Jeffrey A. Reinbolt, B. J. Fregly, R. T. Haftka, A. D. George

Jeffrey A. Reinbolt

As the complexity of musculoskeletal models continues to increase, so will the computational demands of biomechanical optimizations. For this reason, parallel biomechanical optimizations are becoming more common. Most implementations parallelize the optimizer. In this study, an alternate approach is investigated that parallelizes the analysis function (i.e., a kinematic or dynamic simulation) called repeatedly by the optimizer to calculate the cost function and constraints. To evaluate this approach, a system identification problem involving a kinematic ankle joint model was solved using a gradientbased optimizer and three parallel decomposition methods: gradient calculation decomposition, analysis function decomposition, or both methods combined. For a …

Parallel Global Optimization With The Particle Swarm Algorithm, J. F. Schutte, Jeffrey A. Reinbolt, B. J. Fregly, R. T. Haftka, A. D. George

Jeffrey A. Reinbolt

Present day engineering optimization problems often impose large computational demands, resulting in long solution times even on a modern high-end processor. To obtain enhanced computational throughput and global search capability, we detail the coarse-grained parallelization of an increasingly popular global search method, the particle swarm optimization (PSO) algorithm. Parallel PSO performance was evaluated using two categories of optimization problems possessing multiple local minima—large-scale analytical test problems with computationally cheap function evaluations and medium-scale biomechanical system identification problems with computationally expensive function evaluations. For load-balanced analytical test problems formulated using 128 design variables, speedup was close to ideal and parallel efficiency …

Determination Of Patient-Specific Functional Axes Through Two-Level Optimization, Jeffrey A. Reinbolt, J. F. Schutte, R. T. Haftka, A. D. George, K. H. Mitchell, B. J. Fregly

Jeffrey A. Reinbolt

No abstract provided.

Scale-Independent Biomechanical Optimization, J. F. Schutte, B. I. Koh, Jeffrey A. Reinbolt, R. T. Haftka, A. D. George, B. J. Fregly

Jeffrey A. Reinbolt

No abstract provided.

Clinical Investigation: Endoscopic Coronary Artery Bypass Grafting With Robotic Assistance, H. A. Tabaie, W. P. Graper, Jeffrey A. Reinbolt

Jeffrey A. Reinbolt

Background: The current study reviews clinical feasibility experiences evaluating safety and efficacy of using robotic assistance to create a left internal mammary artery to left anterior descending artery (LIMA-to-LAD) anastomosis. Methods: Between August and November 1999, 9 patients (aged 54-73 years) underwent robotically assisted endoscopic coronary artery bypass grafting (E-CABG) after institutional review board approval and informed consent were obtained. The robotics were transthoracically introduced in the fifth and sixth intercostal spaces. The LIMA-to-LAD anastomoses were endoscopically constructed with robotic assistance, and patency was assessed by flow measurement. Results: Each anastomosis was performed robotically, with-out necessity for intraoperative intervention with …

Perioperative Nurse Training In Cardiothoracic Surgical Robotics, M. A. Connor, P. J. Handley, Jeffrey A. Reinbolt

Jeffrey A. Reinbolt

The exponential growth of OR technology during the past 10 years has placed increased demands on perioperative nurses. Proficiency is required not only in patient care but also in the understanding, operating, and troubleshooting of video systems, computers, and cutting edge medical devices. The formation of a surgical team dedicated to robotically assisted cardiac surgery requires careful selection, education, and handson practice. This article details the six-week training process undertaken at Sarasota Memorial Hospital, Sarasota, Ha, which enabled staff members to deliver excellent patient care with a high degree of confidence in themselves and the robotic technology.

A Coupling Method Of A Homotopy Technique And A Perturbation Technique For Non-Linear Problems, Ji-Huan He

Ji-Huan He

In this paper, a coupling method of a homotopy technique and a perturbation technique is proposed to solve non-linear problems. In contrast to the traditional perturbation methods, the proposed method does not require a small parameter in the equation. In this method, according to the homotopy technique, a homotopy with an imbedding parameter p3[0, 1] is constructed, and the imbedding parameter is considered as a &&small parameter''. So the proposed method can take full advantage of the traditional perturbation methods. Some examples are given. The results reveal that the new method is very e!ective and simple. ( 1999 Elsevier Science …

Endoscopic Coronary Artery Bypass Graft (E-Cabg) Procedure With Robotic Assistance, H. A. Tabaie, Jeffrey A. Reinbolt, W. P. Graper, T. F. Kelly, M. A. Connor

Jeffrey A. Reinbolt

Background: Technical details of the robotically assisted endoscopic coronary artery bypass graft (ECABG) procedure on the cadaver model are reported. Moreover, this study will provide essential techniques, steps, and procedural development concepts necessary to introduce the ZEUSTM Robotic Surgical System (Computer Motion, Inc., Goleta, CA) into the human operating room.

Methods: Between August 1998 and March 1999, an ECABG procedure was performed on 10 cadaver torsos. The cadaver torso was placed in the left anterior oblique (LAO) position. The left and right internal mammary arteries (IMA) were taken down endoscopically. The ends of the IMA’s were intracorporeally prepared. An upper …