Biomedical Sensing and Real-Time Wireless ECG Acquisition with STM32

Erkan Odemis is an Assistant Professor in the Department of Biomedical Engineering at Cukurova University, where he has been serving since 2012. He holds a Bachelor's degree in Electrical and Electronics Engineering and subsequently obtained his Master's degree in the same field from Cukurova University.
In his master’s thesis, he focused on the control of robotic orthoses and the implementation of different therapy modes. Subsequently, he validated the effectiveness of the proposed method by employing musculoskeletal models. He also received his Ph.D. in Electrical and Electronics Engineering from Cukurova University. In his doctoral research, he proposed a method for evaluating patient participation and performance during rehabilitation exercises based on physiological responses and error signals. This method was further validated through a clinical study.
His main research interests lie in the fields of rehabilitation robotics, assistive technologies, and biomedical signal processing. He has published several articles in international peer-reviewed journals and actively serves as a reviewer for various scientific publications. Currently, he teaches courses on microcontrollers and design of microcontroller-based systems in his department.