Comparative Design Improvement of the Growing Rod for the Scoliosis Treatment Considering the Mechanical Complications

Autor: Ugur Demir, Gazi Akgun, Sitki Kocaoglu, Md. Erhan Okay, Ahmed Majid Heydar, Erhan Akdogan, Alper Yildirim, Sevdenur Yazi, Bora Demirci, Erkan Kaplanoglu

Publikováno v: IEEE Access, Vol 11, Pp 40107-40120 (2023)

In this study, the focus is on an implant used in the treatment of early-onset scoliosis called magnetically controlled growing rods (MCGR). The primary goal of the study is to address and propose solutions for the mechanical problems reported in the

Externí odkaz: https://doaj.org/article/408e43c2dd734b0aaee7807132cb0d35

Development of A 5-DOF Impedance-Controlled Wearable Upper Limb Exoskeletal Robot

Autor: Fehmi Mustafa Dikbas, Ozgur Ege Aydogan, Idris Batuhan Aydin, Derya Cetin, Mehmet Emin Aktan, Erhan Akdogan

Publikováno v: Journal of Mechanics in Medicine and Biology.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::818f41948c8d321295f698af9bdec581
https://doi.org/10.1142/s0219519423500574

Design of a 4-DOF grounded exoskeletal robot for shoulder and elbow rehabilitation

Autor: Emin Abdullah Kazancı, Fatih Karadeniz, Özgür Ege Aydoğan, Erhan Akdogan

Publikováno v: Sustainable Engineering and Innovation, Vol 2, Iss 1, Pp 41-65 (2020)

The number of cerebrovascular and neuromuscular diseases is increasing in parallel with the rising average age of the world’s population. Since the shoulder anatomy is complex, the number of rehabilitation robots for shoulder movements is limited.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f8d7c433762e6f8bc91adf6100f6b7b
https://sei.ardascience.com/index.php/journal/article/view/106

Comparison of Machine Learning Algorithms for Recognizing Drowsiness in Drivers using Electroencephalogram (EEG) Signals

Autor: Ruya Akinci, Erhan Akdogan, Mehmet Emin Aktan

Publikováno v: International Journal of Intelligent Systems and Applications in Engineering
International Journal of Intelligent Systems and Applications in Engineering; Vol. 10 No. 1 (2022); 44-51

Drowsiness is one of the major reasons that causes traffic accidents. Thus, its early detection can help preventing accidents by warning the drivers before the unfortunate events. This study focuses on the detection of drowsiness using classification

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0c39196f46fd2d14189f74040196220
http://hdl.handle.net/11772/13955

DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK STRUCTURES FOR PREDICTING NAVIGATION TASKS OF A MOBILE ROBOT

Autor: Irem Sahmutoglu, Erhan Akdogan

Determining trajectories in mobile robot navigation tasks is a difficult process to apply with conventional methods. Therefore, intelligent techniques produce highly effective results in trajectory optimization and orientation prediction. In this stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c5477baf10a01398f503effb6a0e91c