Browsing by Author "Kececi, Emin Faruk"

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Off-the Electronics in Rescue Robotics
(Assoc Computing Machinery, 2015) Sadeghi, Majid Mohammad; Kececi, Emin Faruk
The design and manufacturing methods of rescue robots with different locomotion principles are explained in the literature in detail. However, the design and realization of electronic circuits of a rescue robot still pose a great challenge, especially for the academics with mechanical background, who know how to design and build the mechanics of the robot but do not know how to make the robot work and make the right choices for the electronic parts, such as selecting a microcontroller or drivers. This research reports the methodology of building an electronic system for a mobile robot with off-the-shelf products.
Citation - Scopus: 1
Image Processing Methodology for Patient-Specific Instrument Design
(Wiley, 2020) Mohammad Sadeghi, Majid; Kececi, Emin Faruk
Background Patient-specific instrumentation (PSI) improves accuracy of surgical operations. PSI needs software for preoperative planning and instrument design. In this study, we explain the methodology of developing a software tool for PSI guide design and preoperative planning in reverse shoulder arthroplasty (RSA). Methods Approaches used to prepare input data, transform them into meaningful features and use of those features to create special guide geometries are explained by describing different algorithms and libraries. Results The developed software is tested on three different patients' data. Preoperative planning is performed and guides designed by software and the patients' bones are manufactured and tested for RSA. The method of building a software is presented to do the preoperative planning and designing specific guides for each patient are shown to be properly functional. Conclusions This study proves processes in the development of the PSI software and the design of a specific guide for RSA.
Citation - WoS: 5
Citation - Scopus: 10
Three Dimensional Patient-Specific Guides for Guide Pin Positioning in Reverse Shoulder Arthroplasty: An Experimental Study on Different Glenoid Types
(Sage Publications Ltd, 2022) Sadeghi, Majid Mohammad; Kececi, Emin Faruk; Kapicioglu, Mehmet; Aralasmak, Ayse; Tezgel, Okan; Basaran, Murat Alper; Bilsel, Kerem
Introduction Incorrect positioning is one of the main factors for glenoid component loosening in reverse shoulder arthroplasty and component placement can be challenging. This study aimed to assess whether Patient-Specific Instrumentation (PSI) provides better guide pin positioning accuracy and is superior to standard guided and freehand instrumentation methods in cases of glenoid bone deformity. Materials and Methods Based on the Walch classification, five different scapula types were acquired by computed tomography (CT). For each type, two different surgeons placed a guide pin into the scapula using three different methods: freehand method, conventional non-patient-specific guide, and PSI guide. Each method was repeated five times by both surgeons. In these experiments, a total of 150 samples of scapula models were used (5 x 2 x 3 x 5 = 150). Post-operative CT scans of the samples with the guide pin were digitally assessed and the accuracy of the pin placement was determined by comparison to the preoperative planning on a three-dimensional (3D) model. Results The PSI method showed accuracies to the preoperative plan of 2.68 (SD 2.10) degrees for version angle (p < .05), 2.59 (SD 2.68) degrees for inclination angle (p < .05), and 1.55 (SD 1.26) mm for entry point offset (p < .05). The mean and standard deviation errors compared to planned values of version angle, inclination angle, and entry point offset were statistically significant for the PSI method for the type C defected glenoid and non-arthritic glenoid. Conclusion Using the PSI guide created by an image processing software tool for guide pin positioning showed advantages in glenoid component positioning over other methods, for defected and intact glenoid types, but correlation with clinical outcomes should be examined.
Localization of an Autonomous Personnel Carrying Vehicle in Indoor Environments
(Association for Computing Machinery acmhelp@acm.org, 2017) Altug, Erdinc; Gelbal, Şükrü Yaren; Kececi, Emin Faruk; Gültekin, Mehmet Kabil
There is an emerging need of intelligent vehicles on indoor environments such as university campuses, airports or shopping malls. These intelligent vehicles can help elderly, disabled, or people with heavy luggage. This paper describes an intelligent vehicle that can be used indoor as well as outdoor areas for this purpose. Finding the exact location for indoor robots is not an easy task, since Global Positioning System (GPS) is not available indoors. In this work onboard sensors such as motor encoder and steering-wheel encoder were used to obtain localization estimates. The errors are determined to be low even when the vehicle travels long distances. © 2017 Elsevier B.V., All rights reserved.
The Digitized Shoulder: From Preoperative Planning to Patient-Specific Guides
(Springer International Publishing, 2022) Mohammad Sadeghi, Majid; Kapicioǧlu, Mehmet; Kececi, Emin Faruk; Bilsel, Kerem
As the information and computer technologies improve, it can change how the shoulder surgeries and treatments are done. Digitalization of the shoulder joint acquired via MR and CT (1) shows the surgeons the pathology in a more easily understandable way, (2) generates models for preoperative planning, and (3) uses special software to generate patient-specific instruments. Digitalization of the shoulder will make the shoulder disorder’s treatment easier and more accurate in the future. © 2023 Elsevier B.V., All rights reserved.
Citation - WoS: 1
Citation - Scopus: 3
Hybrid Power System for Mobile Robotics
(Institute of Electrical and Electronics Engineers Inc., 2017) Mohammad Sadeghi, Majid; Kececi, Emin Faruk
The power source is a design characteristic for a mobile robot in which the energy source used must provide enough power for a desired period of time depending on the specific task of a robot. Batteries are the most common power source of energy on mobile robots. Important factors for selecting battery solution as the power source includes weight of the batteries, maximum power availablility, maximum discharge rate, and the endurance of a battery. On the other hand, when the ratio of weight to energy is considered, overall, a gasoline engine is more efficient than a battery power system. This paper explains a design and realization of a hybrid energy system for a mobile robot where a gasoline engine powers an alternator to create electricity and this electrical energy is used to drive and power the electronics of the robot, with the understanding that it can only be used outside. The theory of a gasoline-electrical hybrid power system is explained and later by using a 5.5 horsepower (hp) Loncin engine and a car alternator a hybrid system is designed, manufactured and tested. The test results show the effectiveness of the design. © 2017 Elsevier B.V., All rights reserved.
Finding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR
(SPIE - The International Society for Optics and Photonics, 2017) Sadeghi, Majid Mohammad; Kececi, Emin Faruk; Bilsel, Kerem; Aralasmak, Ayse
Medical imaging has great importance in earlier detection, better treatment and follow-up of diseases. 3D Medical image analysis with CT Scan and MRI images has also been used to aid surgeries by enabling patient specific implant fabrication, where having a precise three dimensional model of associated body parts is essential. In this paper, a 3D image processing methodology for finding the plane on which the glenoid surface has a maximum surface area is proposed. Finding this surface is the first step in designing patient specific shoulder joint implant.
Citation - Scopus: 3
Mechatronic Components: Roadmap to Design
(Elsevier, 2018) Kececi, Emin Faruk
Mechatronic Components: Roadmap to Design explains the practical application of mechatronics, including sections on adaptive structures, robotics and other areas where mechanics and electronics converge. Professional engineers in a variety of areas will find this textbook to be extremely helpful with its in-depth use of flow diagrams and schemes that help readers understand the logic behind the design of such systems. Using approximately 130 different components with diagrams and flowcharts that help engineers from different fields understand the general properties and selection criteria of a component, this book presents a comprehensive resource on mechatronic components. © 2024 Elsevier B.V., All rights reserved.